WO2000070493A9 - Structured finance performance analytics system - Google Patents
Structured finance performance analytics systemInfo
- Publication number
- WO2000070493A9 WO2000070493A9 PCT/US2000/013466 US0013466W WO0070493A9 WO 2000070493 A9 WO2000070493 A9 WO 2000070493A9 US 0013466 W US0013466 W US 0013466W WO 0070493 A9 WO0070493 A9 WO 0070493A9
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- loans
- reports
- loan
- securities
- subset
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/06—Asset management; Financial planning or analysis
Definitions
- the present invention relates to a system and method for providing an issuing party of a structured securities transaction with a vehicle by which performance data of one or more underlying assets of the transaction may be communicated to one or more investors, potential investors, or other interested parties.
- the issuer (or deal as is known in the art) are the issuer (or originator) and one or more investors.
- securities which may be issued in a structured transaction, such as asset-backed securities, mortgage-backed securities, etc.
- asset-backed security transaction the issuer sells one or more corporate obligations (often in the form of a fixed income security) which are securitized by a pool of assets.
- the one or more investors purchase the corporate debt obligation(s) with the understanding that the underlying pool of assets (such as accounts receivable, loans, etc.) affect their income from the security.
- the corporate debt obligations are secured by a pool of mortgages.
- Issuers of structured financial securities are those entities who generate financial assets in the normal course of their business. Such issuers include, but are not limited to, banks, thrifts, mortgage companies, manufacturers and distributors with a financing division, retailers with credit card or other finance operations, consumer finance companies, specialty finance companies, equipment lessors, asset aggregators, or any other business enterprise that generates substantial quantities of trade receivables.
- a structured security transaction is structured in accordance with one or more documents, such as a Pooling and Servicing Agreement, a primary document that governs the transaction, including the roles of a trustee, service provider (known as a "servicer"), and bond issuer.
- the trustee is hired by the issuer to represent the investors and, in the structured finance context, is typically one out of four or five large financial institutions (e.g., Chase Manhattan Bank).
- the servicer is often the issuer or originator of the asset, but sometimes is a third party.
- the Pooling and Servicing Agreement will typically provide that the trustee and/or servicer prepare periodic monthly reports concerning the status of the underlying pools of assets. For example, when a pool of assets comprises a number of loans which underlie a security, the trustee, servicer, or other party may be bound to provide status to the investors on the underlying loans. The status may include, for example, principal collected, interest collected, foreclosures, prepayments, losses, delinquencies, whether trigger thresholds have been reached, etc.
- the reports on the status of the underlying assets are typically prepared on a monthly basis and transmitted to the investors via, for example, facsimile transmission or may be posted on an electronic billboard (such as on the internet).
- these conventional reports prepared by the trustee and/or servicer in accordance with the Pooling and Services Agreement have several disadvantages.
- these reports provide status on the underlying assets for only one point in time (i.e., during the relevant month).
- the investor is not provided with historical information on the performance of the underlying assets, for example, a time series of interest collected on the loan assets.
- the static "snap shot" of data provided in these reports does not provide the investors with information as to performance trends of the underlying assets which may be utilized by the inventors, for example, to determine whether the security should be held or sold.
- Another disadvantage is that the conventional reports are only available to the investors who are parties to the deal.
- a potential investor i.e., an investor who has not yet purchased an asset-backed or mortgage-backed security from the issuer
- the issuer cannot easily use the performance data relating to past deals to persuade a potential investor to purchase securities in a new deal.
- each report provided by the trustee and/or servicer relates to only one deal. It is not possible, therefore, for these reports to provide information as to the performance of a portfolio of underlying assets from more than one deal. For example, if an investor were interested in the asset performance of all assets originated by issuer X in the same year, then those assets would likely securitize obligations related to more than one deal. The conventional reports, therefore, would not provide the investor with the information he desires.
- Another disadvantage of the conventional reports provided by the trustee and/or servicer is that they contain only that information which is scripted by the indenture document (i.e., the Pooling and Servicing Agreement).
- the issuer is not provided with an opportunity to explain or interpret the status of the underlying assets, particularly explanations relating to performance trends which would affect whether an investor continues to hold the obligations he has purchased or whether a potential investor would purchase securities in a new deal from that issuer.
- the conventional reports provided by the trustee or servicer are presented to the investors via facsimile and/or contain status information for only a one month period, an investor, potential investor, or other interested party cannot easily download historical information regarding performance trends of the underlying assets for use, for example, on his own computer.
- a system by Bloomberg provides information regarding the status of underlying assets of particular deals over a proprietary network to persons subscribing to the network.
- the information is substantially similar to the information provided in conventional reports from the trustee and/or service provider and is stored in a cumulative fashion which allows for viewing the information in a graphical format which displays trends over periods of time.
- the present invention provides a structured finance performance analytics system and/or method
- FIG. 1 is a block diagram illustrating a structured finance performance analytics system in accordance with the present invention
- Figure 2 is a flow diagram illustrating an example of the process flow of the structured finance performance analytics system shown in Figure 1; and Figures 3A-3I, 4A-4C, 5A-5C, 6A-6C, 7-11, 12A-12B, and 13-17 are examples of screens which may be produced and presented on a website in accordance with the invention.
- FIG. 1 a functional block diagram of a structured finance performance analytics system 10 in accordance with the present invention.
- the structured finance performance analytics system 10 includes a plurality of asset information sources 20, 22, 24.
- An asset information source is typically an issuer of a structured security instrument, such as an asset-backed security or mortgage-backed security.
- the asset information sources 20, 22, 24 may also be servicer, trustees, holders of interests in the underlying debts of the deals, or other source of asset information.
- issuers 20, 22, 24 may be referred to herein as issuers 20, 22, 24 as appropriate.
- the structured finance performance analytics system 10 is utilized by one or more investors 30, potential investors 32, and/or other interested parties
- An investor 30 is typically one or more parties who have purchased one or more securities from respective issuers 20, 22, 24.
- a potential investor 32 may be one or more parties seeking to purchase one or more securities from an issuer 20, 22, 24.
- the potential investor 32 may be interested in the performance of the underlying assets relating to the deals of a particular issuer 20, 22, 24 to determine whether it would be advantageous to purchase such securities.
- the potential investor 32 may have previously entered into one or more deals with any of the issuers 20, 22, 24 but, in accordance with the invention, is permitted to access performance information on underlying assets related to other deals to which he is not a party.
- Interested party 34 is any party seeking information regarding the performance of underlying assets relating to a structured financial deal of the one or more issuers 20, 22, 24. These parties include rating agencies, monoline insurers, research firms, investment banks, accounting firms, etc.
- the structured finance performance analytics system 10 typically involves a financial services provider 40 (although not required), such as a bank or other financial institution.
- the financial services provider 40 includes a performance analytics system 42 which is capable of writing data to and receiving data from a database 44 through a database server 45.
- the database 44 need not be separate from the performance analytics system 42 and that any of the known databases and database servers may be utilized to achieve the advantages of the invention.
- the financial services provider 40 also includes a network interface 46 which preferably includes a firewall 46a, and network server 46b, and a firewall 46c.
- the network interface 46 is operable to provide data transmissions between a network, for example, the internet, and the performance analytics system 42.
- a network for example, the internet
- the financial services provider 40 also preferably includes a human operation resource 48 which is operable to receive, format, and/or process data received from one or more of the asset information sources 20, 22, 24 and provide that data in a useable form for the performance analytics system 42.
- the human operations resource 48 may provide formatting and/or processing functions on data received by the performance analytics system 42 through the network interface 46 and then return that data to the performance analytics system 42 in a more usable form.
- the asset information sources 20, 22, 24 provide data to the performance analytics system 42 over a network, for example the internet, and through the network interface 46.
- the asset information sources 20, 22, 24 may provide the asset performance data to the performance analytics system 42 by way of electronic data interchange, such as e-mail. If an electronic data interchange is to be used, the asset information source 20 would preferably have a data tracking system capable of assembling the asset performance data into an electronic file.
- this file will be in a structured format, such as a spreadsheet or other agreed upon database format such that the performance analytics system 42 may readily utilize the data without requiring reformatting.
- the transfer of asset performance data via e-mail presents a security issue because files sent over the internet can be intercepted and misused.
- encryption technology may be implemented to improve security and facilitate the safe transmission of asset performance data between an asset information source 20, 22, 24 and the performance analytics system 42.
- the asset information sources 20, 22, 24 may also provide the asset performance data to the financial services provider 40 by way of bulletin board, such as by way of a secure bulletin board system.
- sending the asset performance data electronically via the bulletin board will eliminate the security issue.
- an asset information source 22, 24 may provide the data on a transportable storage medium, such as a floppy disk 50 or other such device to the human operation resource 48.
- the human operation resource 48 reads the data on the floppy disk 50, formats and/or processes the data and delivers usable data to the performance analytics system 42
- an asset information source 24 does not have the capability of delivering electronic data in any form, then it can provide hard copy information 52 to the human operation resource 48.
- the human operation resource 48 preferably provides the functions of formatting and/or processing the data contained in the hard copy 52 and providing that data to the performance analytics system 42 in a usable form.
- the hard copy 52 may be in a structured format, such as on paper ledgers, but would require the human operations resource 48 to reformat and process the asset performance data into an electronic form for delivery to the performance analytics system 42.
- the human operations resource 48 would review the documents and perform data entry such that the asset performance data may be formatted and processed to deliver a useable electronic version of data to the performance analytics system 42.
- the performance analytics system 42 manipulates the asset performance data supplied by the asset information sources 20, 22, 24 and produces reports.
- the reports are posted on an internet website such that the investors 30, potential investors 32, and/or other interested parties 34 may review and/or download the information presented on the website.
- the reports preferably include document reports, transaction performance analytic reports, and/or aggregate analytic reports.
- Document reports contain legal and disclosure documentation defining the structured transactions of the issuers and may include reports describing the initial portfolio of assets securing the securities.
- document reports may include: (i) prospectuses (original transaction offering documents prepared in collaboration with underwriters and legal counsel for respective deals); (ii) Pooling and Servicing Agreements (primary documents that govern the structured transaction, including the roles of the trustees, service providers, and bond issuers); and (iii) rating letters (documents from rating agencies confirming the ratings of each structured transaction or deal).
- Transaction performance analytic reports may include collateral descriptions which contain data relating to characteristics of the securitized assets. These data are preferably arranged according to criteria agreed upon between the asset information sources 20, 22, 24 and the financial services provider 40.
- the collateral descriptions are preferably updated on a periodic basis, such as monthly, to reflect changes in the performance of the underlying assets.
- Transaction performance analytic reports may, more particularly, include prepayment analyses, which include data showing the rates of prepayments on the underlying collateral (e.g., loans). These rates may be provided on a monthly, quarterly, annually, or life basis and are preferably updated monthly. Loss and delinquencies analyses may also be included in the transaction performance analytic reports. Loss and delinquency analyses are similar to prepayment analyses, except actual losses and delinquencies are tracked, and usually grouped into 30, 60, and 90-day past due categories.
- the transaction performance analytic reports may also include trigger testing reports containing the performance of an underlying pool of assets against a trigger.
- Triggers are objective measures of the performance of an underlying pool of assets set forth in the Pooling and Servicing Agreement which, if met, may trigger additional rights for the parties to the deal. For example, a trigger may be met if delinquencies on the underlying pool of assets exceeds 10% in a three month period. Meeting the trigger may result in the investors being permitted to receive additional cash flow.
- Aggregate analytic reports may contain data relating to the performance of assets from more than one deal from the same issuer. For example, information on the performance of loan assets issued in a particular year, regardless of whether those loan assets are associated with more than one deal, may be presented. In other words, the underlying pools of assets may be grouped according to some criteria, such as credit grade, coupon type (fixed/adjustable), loan to value ratio, property type, year, etc. More effective criteria will likely include multiple criteria, such as fixed rate loans AND year of origination.
- Aggregate analytic reports may also include prepayment analyses which are similar to prepayment analyses for a transaction performance analytic report except that the aggregate prepayment information on the underlying pools of assets may be obtained and aggregated over more than one deal. Similarly, aggregate loss analyses may also be obtained and reported.
- the reports produced by the performance analytics system 42 may be in text format, tabular format, or graphical format.
- the graphs include time series data obtained by collating performance data over a number of months and presenting that data in a time series such that performance trends may be gleaned from the report.
- the performance analytics system 42 must receive the asset performance data from the asset information sources 20, 22, 24 on a periodic basis and store that data in the database 44 for subsequent use.
- an asset information source 20 and the financial services provider 40 agree upon the type and format of the asset performance data to be provided and the type and format of the reports to be posted on the website.
- an asset information source 20 may provide the financial services provider 40 with information to produce a master file in the database 44.
- the master file preferably contains the deal numbers, loan numbers, loan origination dates, credit ratings, loan types, and principal balances for the pool of assets relating to each structured financial securities transaction for which asset performance data will be provided. Accordingly, the performance analytics system 42 will have stored information on each deal number, all loan numbers
- the asset information sources 20, 22, 24 preferably provide a periodic (e.g., monthly) data file including asset performance data during the period in question.
- the monthly data file preferably includes the deal number, effective date of the file (i.e., the date for which the data is current), loan numbers, scheduled ending principal balances, delinquency information, loss amount information, and group number (i.e., information as to the credit grade, fixed or variable).
- the asset performance data contained in the monthly data files are stored in the database 44 and later used to produce the reports for posting on the website.
- the master file and monthly data files may be in any ASCII compatible format, such as Microsoft Excel and/or Microsoft Access files.
- asset information source 20, 22, 24 begins its relationship with the financial services provider 40 sometime after a particular deal was closed and monthly asset performance data has already accrued, then the asset information source 20, 22, 24 preferably provides the performance analytics system 42 with substantially all of the historical asset performance data such that the database 44 may be updated and complete.
- FIG. 2 illustrates a flow diagram for providing validity checks on the asset performance data received by the performance analytics system 42.
- the financial services provider 40 need not guarantee that the reports posted on the internet website are error-free, certain validity checks are preferably performed on the incoming asset performance data from the asset information sources 20, 22, 24.
- the financial services provider 40 receives the asset performance data and, if necessary, formats and processes the data by way of the human operation resource 48.
- the asset performance data is received by the performance analytics system 42, it is preferably organized into a relational database within the database 44.
- the data related to the principal, prepayments, delinquencies, losses, foreclosures, etc., on the underlying assets are arranged according to loan number and deal number to coincide with a given month to which they pertain.
- Some data fields would simply contain the particular value (such as the principal received) for that month while other fields would be derived from these fields, such as loan to value ratio, prepayment rates, delinquency rates, loss rates, foreclosure rates, etc.
- the performance analytics system 42 validates the data and identifies potential errors based upon preset error screens. Examples of the process of validating the data include:
- asset performance data examples include: original loan amounts, original term, APR, current principal balance, original amortization term, remaining amortization term, current payment, maturity date, next payment due date, loan to value ratio, scheduled seasoning, actual seasoning, funded date, occupancy status, property type, loan type, document type, loan purpose, lien position, credit rating, state, and (if the loans are adjustable), index, next rate adjustment date, life floor, life cap, margin, periodic rate, and/or months to roll. If discrepancies are identified at the validate data step 102, then the performance analytics system 42 may provide a flag or some other indication that a corrective iteration 104 should take place between the financial services provider 40 and the respective asset information source 20, 22, 24 to correct the data.
- each asset information source 20, 22, 24 preferably provides an aggregate report to the financial services provider 40 which includes aggregate values covering more than one of its deals, for example, aggregate principal values, aggregate interest values, aggregate prepayments, etc. (step 108). These aggregate reports are reconciled against corresponding aggregates computed by the performance analytics system 42 at step 106. If any discrepancies are identified, corrective iterations 110 may be taken with respect to the validation data step 102 and/or corrective iterations 112 may be taken with respect to the asset information sources 20, 22, 24.
- the performance analytics system 42 performs analysis and manipulation functions on the stored asset performance data to create the reports to be posted on the website. Typically, this includes segregating the data according to the particular structured security transactions (or deals) that are being reported.
- the database 44 is segregated into a plurality of main databases, one main database for each asset information source 20, 22, 24. The main database for each asset information source may then be subdivided by the number of structure security transactions being tracked, where each sub-database represents one such transaction.
- the fields of a sub-database contain data which may be used to build a report, such as a time series of the principal, interest, prepayments, delinquencies, losses, foreclosures, etc. for a pool of assets underlying a particular structured securities transaction. This data may be grouped into a time series to prepare a report in a graphical format such that the investors 30 may readily see trends in the performance of the underlying asset.
- the database 44 is preferably segregated according to the criteria (loan origination, year, credit grade, property type, loan type, fixed/floating, loan to value ratio, etc.).
- Sub- databases are preferably produced for each criteria. These criteria are preferably predetermined and agreed to by the asset information sources 20, 22, 24 and the financial services provider 40.
- the sub-databases for the criteria will contain performance data for assets that may also be contained in other sub-databases depending on how the criteria are defined. This is so because aggregate reports contain asset performance data relating to assets underlying more than one structured securities transaction.
- the performance analytics system 42 retrieves the data contained in the main database and sub-databases within the database 44 to produce the transaction performance analytic reports and/or the aggregate analytic reports.
- the specific algorithms required to produce these reports are well known in the art and, for simplicity and clarity are not repeated herein.
- Figures 3A-3I, 4A-4C, 5A-5C, 6A-6C, 7-11, 12A-12B, and 13-17 show examples of the types of screens which may be prepared and then presented on a website (either public or private) in accordance with the invention.
- Figure 3 A is an example of a screen which may be produced and presented on a website in accordance with the present invention.
- An investor 30, potential investor 32, and/or other interested party 34 accesses the website in accordance with known techniques.
- investors 30 accesses the website in accordance with known techniques.
- they are provided with a registration screen which provides "sign up" icons and/or input fields.
- the financial services provider 40 may request certain information 60 pertaining to the investor 30, such as his or her name, business type, company, department, address, phone numbers, e-mail addresses, etc., in exchange for a user name and password 61 for subsequent entry to the website.
- information 60 pertaining to the investor 30, such as his or her name, business type, company, department, address, phone numbers, e-mail addresses, etc.
- the investor's activity within the website may be tracked and used for appropriate marketing analysis.
- Figure 3B is an example of a screen which may be produced and presented on a website in accordance with the present invention which facilitates log in to the website of the invention.
- the investor 30 enters his/her user name and password into fields 63 as is well known in the art.
- a public website may be accessed by anyone having a link to the internet.
- private (i.e., non- public) structured securities transactions may be presented on a website which is secured such that it would require an investor 30 to apply for and obtain a user ID/password (subject to a verification process) to enter the website.
- password and security support is preferably provided on a 24/7 basis through an 800 number system. Any of the known mechanisms may be provided which would link a particular investor 30 who has been permitted access to a private website to view only those reports relating to particular transactions (not all transactions). Preferably, permitted transactions would be linked to a particular user account, identified by user ID.
- the investor 30 may request conventional trustee reports by activating an appropriate link and/or field 67 or the investor may request performance analytics reports by way of link and/or field 68.
- the investor 30 may select a frequently asked questions icon (FAQs) 107 which is preferably operable to provide the investor 30 with additional information on the use of the website.
- FAQs frequently asked questions icon
- a plurality of frequently asked questions may be presented on a screen with the appropriate response provided.
- Links are also preferably provided to the sign up screen (Figure 3 A) at 64 and an "I forgot my password" screen ( Figures 3D and 3E) at 65.
- a hint question for example, his/her mother's maiden name 66. If the investor does not recall the hint question, the question may be expressly provided. The investor is provided with his password of the hint question is answered correctly.
- Figure 3E illustrates an alternative "I forgot may password” screen).
- FIG. 3F illustrates a screen which may be presented to the investor 30 when trustee reporting is desired.
- the screen preferably prompts the investor 30 to choose from a plurality of classes of transactions, such as asset-backed securities (ABS) 101, mortgage-backed securities (MBS) 103, and/or commercial mortgage-backed securities (CMBS) 105.
- ABS asset-backed securities
- MCS mortgage-backed securities
- CMBS commercial mortgage-backed securities
- trustees provide static reports on a monthly basis and these reports are preferably provided to the investor 30 only if desired.
- performance reports e.g., transaction performance analytic reports and/or aggregate analytic reports
- he may activate a link 69 which preferably presents the screen of Figure 3G to the investor 30.
- the investor 30 may have previously selected certain reports to be available whenever the website is accessed.
- listings 1, 2, 3 i.e., pre-requested reports
- ABS icon 101 trustee reports Figure 3F or performance analytics reports Figure 3G.
- Listings 1, 2, 3 may be deleted or modified as desired. If no listings were previously defined, the investor 30 may invoke the "My Portfolio" link 70 which preferably provides the screen of Figure 3H or Figure 31, depending from which of Figures 3F or 3G the link is activated.
- the investor 30 is preferably prompted to select at least one of: (i) a class of transaction(s) ABS 101, MBS 103, CMBS 105; and (ii) provide all or a part of an issuer's name (or other keywords) in a text window 109. Deals may be searched alphabetically at input fields 71.
- a search result 111 is preferably provided as shown in Figure 4A for performance analytics.
- the search results 111 lists a predetermined number of reports (for example, 5, 10, 20, etc.) related to the keyword provided in the text box 109.
- the Money Shoppe has five reports available for view, four of the reports being related to specific structured securities transactions 97-1, 97-2, 97-3, and 97-4.
- the search results 111 also include a report relating to aggregate data concerning more than one transaction.
- Figure 4A Figures 4B and 4C illustrate alternative examples of search result information, relating to performance analytics and trustee reports, respectively.
- Each of Figures 4B and 4 C preferably list the search results in terms of class (e.g., ABS, MBS, CMBS), deal name, and whether the deal is already been selected for addition to the investor's portfolio of reports (i.e., the pre-requested reports).
- the website When an investor 30 selects the aggregate data report from the search results 111 ( Figure 4A), the website preferably provides a screen as shown in Figure 5A.
- the report selection is displayed in window 200.
- the investor 30 may select a particular deal from those listed in Figure 4B and select one or more reports using the screen shown in Figure 5B.
- the deal name appears at location 74
- the issue documentation selections e.g., indenture agreement, etc.
- the performance report selections appear at location 76.
- the performance report selections 76 preferably include prepayment analysis and loss analysis.
- Figure 5C illustrates a screen which is preferably provided to the investor 30 when a particular deal (shown at location 74) is selected from the list of deals of the screen shown in Figure 4C, i.e., trustee reports. Again, the issue documentation selections are provided at location 75. Of course, trustee monthly reports selections are provided (as opposed to performance reports) at location 77 and may be accessed by, for example, year and month.
- the investor 30 may select, for example, [prepayment analysis] details and/or [loss analysis] details.
- [prepayment analysis] details When an investor 30 selects the [prepayment analysis] option, one or more screens as shown in Figures 6A-6B are preferably provided.
- This type of report relates to aggregate asset performance data (or portfolio performance data) concerning more than one transaction for The Money Shoppe (or any selected deal). More particularly, the aggregate data report provides a plurality of graphs illustrating the constant prepayment rate for certain loans as a function of time (e.g., months).
- Predetermined criteria are preferably provided by the investor 30 and used to define the aggregate asset performance data for these loans, the criteria including the year of origination, and loan type (i.e., fixed rate or adjustable rate).
- the graphs include the constant prepayment rate (CPR) for loans from different transactions grouped according to origination year, i.e., origination year 1995 (at location 113), origination year 1996 (at location 115), and origination year 1997 (at location 117).
- CPR constant prepayment rate
- the loans are all fixed rate as indicated in box 119.
- the graphs for the 1995, 1996, and 1997 loans each include time series data for the class of loans (e.g., class A and class C loans). Accordingly, the investor 30 advantageously may note the trends in the performance of these loans over time and also may easily compare the performance of class A loans and class C loans. Referring to Figures 6B and 6C, similar graphs may be provided on screens relating to adjustable rate mortgage loans (see box 120).
- the website as described hereinabove is preferably adapted in a way which permits an investor 30 to interact with and change the way the asset performance data is presented.
- an investor may customize the graphical and/or tabular data presented on the screens.
- a particular investor 30 may desire to view the constant prepayment rate for various assets over a number of months specified by the investor 30. More particularly, the investor 30 may wish to view the constant prepayment rate for 1995 fixed rate loans (location 113) over months 15-30 rather than from origination to month 48. This may be accomplished using any of the known methods, such as via interactive icons, screens, pull down boxes, etc.
- the aggregate asset performance data report may also include screens containing credit analysis, such as credit grade origination data.
- credit grade origination data For each type of loan (fixed/ ARMS) and for each grade of credit (A, B, C/D), a percentage of loans originating in the respective grades may be illustrated in bar chart form. The data may be further categorized by year of origination (e.g., 1995, 1996 and 1997).
- the aggregate asset performance data report preferably includes screens related to credit loss analysis as shown in Figure 8.
- graphs illustrating the cumulative losses for fixed rates and adjustable rate assets may be presented as a function of time (preferably months) for each grade of loans (A, B, C) and each year of origination (1995, 1996 and 1997).
- the investor 30 is preferably provided with the opportunity to download the asset performance data in the reports, for example, the credit analysis and/or cumulative losses by way of download icons 130, 132, respectively.
- Reports in the tabular format may be readily downloaded by the investors 30 directly to their computers and they may perform their own analysis and report generation if they desire.
- Reports in the graphical format preferably include an underlying spreadsheet which also may be readily downloaded by the investors 30.
- the investor 30 is provided with a selection of analysis reports, such as [collateral description], [collateral prepayments], [delinquency analysis], [loss analysis], [trigger testing], [monthly loan level data], [certificate holders statement], and [all data].
- analysis reports such as [collateral description], [collateral prepayments], [delinquency analysis], [loss analysis], [trigger testing], [monthly loan level data], [certificate holders statement], and [all data].
- a deal description for the collateral e.g., the transaction entitled The Money Shoppe 97-22).
- the deal description includes, for example, the issue date, original certificate balance, type of collateral, type of credit enhancement, etc.
- Additional information regarding the selected structured securities transaction may be provided which includes class, coupon, pricing spread, original par, current par, pool factor, bond type, stated maturity, original rating and current rating.
- the investor 30 may also select document (or static) reports such as [prospectus], and/or [pooling and servicing agreements]. Thus, the investor 30 may review the original transaction offering documents, governing documents, rating documents, etc. associated with a particular structured securities transaction.
- a document parsing and searching function (not shown) is provided such that the investor 30 may search for selected portions of a particular document, and may download only those portions.
- investor 30 (and particularly potential investors or other interested parties) may obtain information regarding the contact people associated with a particular structured securities transactions. This is preferably invoked by activating the "deal links" icon 78 in Figures 5B or 5B. Trustee reporting deal links are shown in Figure 10, while performance analytics deal links are shown in Figure 11.
- the contact information preferably includes the issuer, underwriter, co-underwriter, bond issuer, rating agency (or agencies), trustee, master servicer, servicer, etc.
- the investor 30 may be presented with one or more screens as shown in Figures 12A and 12B.
- the asset performance of the selected transaction i.e., The Money Shoppe 97-2
- the group definitions may be provided and discussed in detail, thereby providing the investor 30 with information that the asset information sources 20, 22, 24 believe useful and advantageous.
- the collateral prepayment asset performance data for the selected transaction i.e., The Money Shoppe 97-2
- the constant prepayment rate (CPR) for the loans of the transaction may be presented in graphical form and may be presented in terms of the Group I and Group II definitions provided in screens 12A and 12B.
- the prepayment data is presented as a time series over a number of months (such as 14 months) and plotted against a projection so that the investor may readily see trends in the performance of the assets.
- the investor 30 may be provided with a download icon 140 for downloading the underlying tabular data regarding the prepayment history of the selected transaction.
- the investor 30 may then manipulate this data as he sees fit.
- the spread account/over- collateralization may be plotted as a function of time (preferably months from issuance) and plotted against a requirement).
- the investor 30 may download the delinquency data and/or the spread account data by way of download icons 140, 142, respectively.
- the asset performance data may be presented in terms of loans in foreclosure at location 144, loans in bankruptcy at location 146 and/or REO properties at location 148, where the number, principal balance and delinquency rate is provided in tabular form with respect to the Group I and Group II loan definitions shown in Figures 12A and 12B.
- cumulative losses may be provided in graphical format as a function of time
- Tabular data as to cumulative losses may be provided at location 152 showing the cumulative losses for the current month, last month and losses to date.
- the loss analysis data may be downloaded by way of icon 154.
- an investor 30 selects the [trigger testing] option, he may be provided with the screen illustrated in Figure 16.
- actual cumulative loss ratios may be plotted against a trigger threshold such that an investor may readily see whether a trend towards reaching the trigger threshold exists.
- Graphs of cumulative loss ratios may be prepared for all loans at location 156, Group I loans at location 158, and/or Group II loans at location
- Download icons may be provided which, when activated, download losses, data, delinquency data and/or trigger data, respectively.
- appropriate reports may be provided to the investor 30 when he selects either of the [monthly loan level data] or [certificate holders statement] but, for simplicity, these screens are not shown herein.
- an investor 30 selects the [all data] option he may be presented with a screen as illustrated in Figure 17.
- the investor may be provided with an opportunity to view and/or download the constant prepayment rate (CPR) data 170, delinquency data 172, spread account data 174, losses data 176, and/or trigger data 177, these reports having already been described hereinabove.
- CPR constant prepayment rate
- the investors 30 are provided with an opportunity to create a personalized portfolio for which they choose one or more reports to be listed on a screen without having to search anew every time that they log on.
- a personalized portfolio screen may be invoked by selecting an appropriate icon, where the screen contains one or more reports available for viewing.
- a particular investor 30 may customize the information provided on the website in a way that contains all or some of the screens discussed above.
- the investor 30 be provided with an opportunity to identify certain reports to be e-mailed by the financial securities provider 40 to the investor 30 on a periodic basis. This feature is preferably invoked by providing the investor 30 with one or more suitable icons (or other input means) on the screens discussed above or other screens (not shown) to define the selected reports.
- the investor 30 be provided with an opportunity to identify and order research reports, register for conferences, access related databases (e.g., through hyperlinks and co-branding agreements between the financial services provider 40 and other entities).
Abstract
L'invention concerne un procédé destiné à fournir aux utilisateurs des rapports financiers à travers un réseau informatique, le procédé consistant en ce qui suit: stocker les performances financières correspondant à chaque type donné de titres, chaque titre étant sous-jacent à une opération sur titres vendue aux investisseurs par des émetteurs; maintenir sur le réseau informatique un site électronique auquel peuvent accéder les utilisateurs; recevoir par le réseau informatique des critères de recherche à partir d'au moins un utilisateur pour identifier au moins un sous-ensemble de données sur les performances financières; récupérer le sous-ensemble de données sur les performances financières identifié par les critères de recherche, au moins certaines des données faisant partie de l'ensemble de données sur les performances financières étant arrangées en une série chronologique; et à fournir à un au moins des utilisateurs un écran électronique du réseau informatique, qui comprend le sous-ensemble de données sur les performances financières.The invention relates to a method for providing users with financial reports through a computer network, the method comprising the following steps: storing the financial performances corresponding to each given type of securities, each security being underlying an operation on securities sold to investors by issuers; maintain an electronic site on the computer network which users can access; receive search criteria from the computer network from at least one user to identify at least a subset of financial performance data; retrieving the financial performance data subset identified by the search criteria, at least some of the data in the financial performance data set being arranged in a time series; and providing at least one of the users with an electronic screen of the computer network, which includes the financial performance data subset.
Description
Claims
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AU50213/00A AU5021300A (en) | 1999-05-17 | 2000-05-16 | Structured finance performance analytics system |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US13447099P | 1999-05-17 | 1999-05-17 | |
US60/134,470 | 1999-05-17 | ||
US09/470,180 US7966234B1 (en) | 1999-05-17 | 1999-12-22 | Structured finance performance analytics system |
US09/470,180 | 1999-12-22 |
Publications (3)
Publication Number | Publication Date |
---|---|
WO2000070493A2 WO2000070493A2 (en) | 2000-11-23 |
WO2000070493A8 WO2000070493A8 (en) | 2001-08-02 |
WO2000070493A9 true WO2000070493A9 (en) | 2001-09-07 |
Family
ID=26832372
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2000/013466 WO2000070493A2 (en) | 1999-05-17 | 2000-05-16 | Structured finance performance analytics system |
Country Status (3)
Country | Link |
---|---|
US (1) | US7966234B1 (en) |
AU (1) | AU5021300A (en) |
WO (1) | WO2000070493A2 (en) |
Families Citing this family (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7707245B2 (en) | 2000-02-22 | 2010-04-27 | Harvey Lunenfeld | Metasearching a client's request for displaying different order books on the client |
US6968458B1 (en) * | 2000-04-28 | 2005-11-22 | Ian Ruddle | Apparatus and method for providing secure communication on a network |
JP2002007706A (en) * | 2000-06-21 | 2002-01-11 | 昭平 ▲吉▼川 | Settlement system |
EP3059704A1 (en) * | 2008-03-10 | 2016-08-24 | Tradeweb Markets Llc | System and method for specified pool trading |
AU2010201705A1 (en) * | 2010-04-29 | 2011-11-17 | IFRS System Pty Limited | Automatic Report Generation System And Method Therefor |
US9015073B2 (en) | 2012-06-06 | 2015-04-21 | Addepar, Inc. | Controlled creation of reports from table views |
US9105062B2 (en) * | 2012-12-13 | 2015-08-11 | Addepar, Inc. | Transaction effects |
US9471628B2 (en) | 2013-03-04 | 2016-10-18 | Mastercard International Incorporated | Methods and systems for calculating and retrieving analytic data |
US9424333B1 (en) | 2014-09-05 | 2016-08-23 | Addepar, Inc. | Systems and user interfaces for dynamic and interactive report generation and editing based on automatic traversal of complex data structures |
US9244899B1 (en) | 2014-10-03 | 2016-01-26 | Addepar, Inc. | Systems and user interfaces for dynamic and interactive table generation and editing based on automatic traversal of complex data structures including time varying attributes |
US9218502B1 (en) | 2014-10-17 | 2015-12-22 | Addepar, Inc. | System and architecture for electronic permissions and security policies for resources in a data system |
US11443390B1 (en) | 2015-11-06 | 2022-09-13 | Addepar, Inc. | Systems and user interfaces for dynamic and interactive table generation and editing based on automatic traversal of complex data structures and incorporation of metadata mapped to the complex data structures |
US10732810B1 (en) | 2015-11-06 | 2020-08-04 | Addepar, Inc. | Systems and user interfaces for dynamic and interactive table generation and editing based on automatic traversal of complex data structures including summary data such as time series data |
US10372807B1 (en) | 2015-11-11 | 2019-08-06 | Addepar, Inc. | Systems and user interfaces for dynamic and interactive table generation and editing based on automatic traversal of complex data structures in a distributed system architecture |
US20210350426A1 (en) | 2020-05-07 | 2021-11-11 | Nowcasting.ai, Inc. | Architecture for data processing and user experience to provide decision support |
Family Cites Families (242)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4169285A (en) | 1977-12-07 | 1979-09-25 | Sefel J. & Associates Inc. | Method for producing color representations of quantifiable data by maximizing differential perception of colors |
US4752877A (en) | 1984-03-08 | 1988-06-21 | College Savings Bank | Method and apparatus for funding a future liability of uncertain cost |
US5270922A (en) | 1984-06-29 | 1993-12-14 | Merrill Lynch & Company, Inc. | System for distributing, processing and displaying financial information |
US4648038A (en) | 1984-11-21 | 1987-03-03 | Lazard Freres & Co. | Methods and apparatus for restructuring debt obligations |
US4739478A (en) | 1984-11-21 | 1988-04-19 | Lazard Freres & Co. | Methods and apparatus for restructuring debt obligations |
US4742457A (en) | 1985-08-27 | 1988-05-03 | Trans Texas Holdings Corporation | System and method of investment management including means to adjust deposit and loan accounts for inflation |
US5852811A (en) | 1987-04-15 | 1998-12-22 | Proprietary Financial Products, Inc. | Method for managing financial accounts by a preferred allocation of funds among accounts |
US5381555A (en) * | 1987-05-18 | 1995-01-10 | The Larches Corporation | Method for designation of data in a data bank and extraction of data for use in a computer program |
US5222019A (en) | 1988-01-06 | 1993-06-22 | Casio Computer Co., Ltd. | Financial calculator capable of displaying graphic representation |
US4933842A (en) | 1988-02-29 | 1990-06-12 | Tesseract Corporation | Automated investment fund accounting system |
US5121469A (en) | 1989-03-20 | 1992-06-09 | Grumman Aerospace Corporation | Method and apparatus for processing and displaying multivariate time series data |
US5257369A (en) | 1990-10-22 | 1993-10-26 | Skeen Marion D | Apparatus and method for providing decoupling of data exchange details for providing high performance communication between software processes |
US5557798A (en) | 1989-07-27 | 1996-09-17 | Tibco, Inc. | Apparatus and method for providing decoupling of data exchange details for providing high performance communication between software processes |
US5297031A (en) | 1990-03-06 | 1994-03-22 | Chicago Board Of Trade | Method and apparatus for order management by market brokers |
US5305200A (en) | 1990-11-02 | 1994-04-19 | Foreign Exchange Transaction Services, Inc. | Financial exchange system having automated recovery/rollback of unacknowledged orders |
US5297032A (en) | 1991-02-01 | 1994-03-22 | Merrill Lynch, Pierce, Fenner & Smith Incorporated | Securities trading workstation |
CA2090744A1 (en) | 1992-04-13 | 1993-10-14 | Dale B. Finfrock | Method and apparatus for pooling and distributing bond dividends |
US5563783A (en) * | 1992-05-13 | 1996-10-08 | The Trustees Of Columbia University In The City Of New York | Method and system for securities pool allocation |
US5970479A (en) | 1992-05-29 | 1999-10-19 | Swychco Infrastructure Services Pty. Ltd. | Methods and apparatus relating to the formulation and trading of risk management contracts |
US6173270B1 (en) | 1992-09-01 | 2001-01-09 | Merrill Lynch, Pierce, Fenner & Smith | Stock option control and exercise system |
US5675746A (en) | 1992-09-30 | 1997-10-07 | Marshall; Paul S. | Virtual reality generator for use with financial information |
AU6133594A (en) | 1993-02-08 | 1994-08-29 | Action Technologies, Inc. | Method and apparatus for managing business processes |
US5454104A (en) | 1993-02-25 | 1995-09-26 | Steidlmayer Software, Inc. | Financial data event flow analysis system with study conductor display |
US6070151A (en) | 1993-04-22 | 2000-05-30 | Fibonacci Corporation | System for the creation and collateralization of real estate mortgage investment conduit securities |
US6460021B1 (en) | 1993-09-28 | 2002-10-01 | William E. Kirksey | Collaterally secured debt obligation and method of creating same |
US5462438A (en) | 1993-12-10 | 1995-10-31 | At&T Ipm Corp. | Method of displaying multiple time series and display generated thereby |
US5497317A (en) | 1993-12-28 | 1996-03-05 | Thomson Trading Services, Inc. | Device and method for improving the speed and reliability of security trade settlements |
US5419890A (en) | 1994-01-19 | 1995-05-30 | Valence Technology, Inc. | Use of organic solvents in the synthesis of V6 O13+x [0<x≦2] |
AU2241195A (en) | 1994-04-06 | 1995-10-30 | Morgan Stanley Group Inc. | Data processing system and method for financial debt instruments |
US5623652A (en) | 1994-07-25 | 1997-04-22 | Apple Computer, Inc. | Method and apparatus for searching for information in a network and for controlling the display of searchable information on display devices in the network |
US6263321B1 (en) | 1994-07-29 | 2001-07-17 | Economic Inventions, Llc | Apparatus and process for calculating an option |
US5940810A (en) | 1994-08-04 | 1999-08-17 | The Trustees Of Columbia University In The City Of New York | Estimation method and system for complex securities using low-discrepancy deterministic sequences |
US5517406A (en) | 1994-09-01 | 1996-05-14 | The Shareholder Services Group, Inc. | Method and apparatus for data verification and position reporting in an automated trade transactions processing system |
US5918218A (en) | 1994-09-01 | 1999-06-29 | First Data Investor Services Group, Inc. | Method and apparatus for automated trade transactions processing |
US6073104A (en) | 1994-11-09 | 2000-06-06 | Field; Richard G. | System for invoice record management and asset-backed commercial paper program management |
US6058378A (en) | 1995-02-22 | 2000-05-02 | Citibank, N.A. | Electronic delivery system and method for integrating global financial services |
US5787403A (en) | 1995-03-08 | 1998-07-28 | Huntington Bancshares, Inc. | Bank-centric service platform, network and system |
US5845266A (en) | 1995-12-12 | 1998-12-01 | Optimark Technologies, Inc. | Crossing network utilizing satisfaction density profile with price discovery features |
AU5969896A (en) | 1995-06-07 | 1996-12-30 | International Language Engineering Corporation | Machine assisted translation tools |
US5649186A (en) | 1995-08-07 | 1997-07-15 | Silicon Graphics Incorporated | System and method for a computer-based dynamic information clipping service |
US6012042A (en) * | 1995-08-16 | 2000-01-04 | Window On Wallstreet Inc | Security analysis system |
US5806047A (en) | 1995-09-25 | 1998-09-08 | Metlife Life Insurance Company | System for combined pool portfolio |
US5806048A (en) | 1995-10-12 | 1998-09-08 | Mopex, Inc. | Open end mutual fund securitization process |
US6088686A (en) | 1995-12-12 | 2000-07-11 | Citibank, N.A. | System and method to performing on-line credit reviews and approvals |
US6141666A (en) | 1996-01-22 | 2000-10-31 | Internet Consultants Llc | Method and system for customizing marketing services on networks communicating with hypertext tagging conventions |
US6055522A (en) | 1996-01-29 | 2000-04-25 | Futuretense, Inc. | Automatic page converter for dynamic content distributed publishing system |
US6076088A (en) | 1996-02-09 | 2000-06-13 | Paik; Woojin | Information extraction system and method using concept relation concept (CRC) triples |
US6023280A (en) | 1996-02-28 | 2000-02-08 | Lucent Technologies Inc. | Calculation and visualization of tabular data |
US6029147A (en) | 1996-03-15 | 2000-02-22 | Microsoft Corporation | Method and system for providing an interface for supporting multiple formats for on-line banking services |
AU2068997A (en) | 1996-03-15 | 1997-10-01 | Citibank, N.A. | A method and system for analysing and handling the customer files of a financial institution |
US5950176A (en) | 1996-03-25 | 1999-09-07 | Hsx, Inc. | Computer-implemented securities trading system with a virtual specialist function |
US5706502A (en) | 1996-03-25 | 1998-01-06 | Sun Microsystems, Inc. | Internet-enabled portfolio manager system and method |
US5995943A (en) | 1996-04-01 | 1999-11-30 | Sabre Inc. | Information aggregation and synthesization system |
US5787402A (en) | 1996-05-15 | 1998-07-28 | Crossmar, Inc. | Method and system for performing automated financial transactions involving foreign currencies |
US6018721A (en) | 1996-05-20 | 2000-01-25 | Citibank, N.A. | Method and system for improved collateral monitoring and control |
CA2254944A1 (en) | 1996-05-23 | 1997-11-27 | Citibank, N.A. | Global financial services integration system and process |
US5913214A (en) | 1996-05-30 | 1999-06-15 | Massachusetts Inst Technology | Data extraction from world wide web pages |
US5987434A (en) | 1996-06-10 | 1999-11-16 | Libman; Richard Marc | Apparatus and method for transacting marketing and sales of financial products |
US6076072A (en) | 1996-06-10 | 2000-06-13 | Libman; Richard Marc | Method and apparatus for preparing client communications involving financial products and services |
US5778157A (en) | 1996-06-17 | 1998-07-07 | Yy Software Corporation | System and method for expert system analysis using quiescent and parallel reasoning and set structured knowledge representation |
US6581056B1 (en) | 1996-06-27 | 2003-06-17 | Xerox Corporation | Information retrieval system providing secondary content analysis on collections of information objects |
US6134600A (en) | 1996-07-01 | 2000-10-17 | Sun Microsystems, Inc. | Method and apparatus for dynamic derivatives desktops |
US6061662A (en) | 1997-08-15 | 2000-05-09 | Options Technology Company, Inc. | Simulation method and system for the valuation of derivative financial instruments |
US6029146A (en) | 1996-08-21 | 2000-02-22 | Crossmar, Inc. | Method and apparatus for trading securities electronically |
US6064984A (en) | 1996-08-29 | 2000-05-16 | Marketknowledge, Inc. | Graphical user interface for a computer-implemented financial planning tool |
US7249037B2 (en) | 1996-09-09 | 2007-07-24 | Bancorp Services L.L.P. | System for managing a stable value protected investment plan |
US6195647B1 (en) | 1996-09-26 | 2001-02-27 | The Nasdaq Stock Market, Inc. | On-line transaction processing system for security trading |
US6026381A (en) * | 1996-11-05 | 2000-02-15 | Itx Corporation | Financial market classification system |
US6078914A (en) | 1996-12-09 | 2000-06-20 | Open Text Corporation | Natural language meta-search system and method |
US5922044A (en) | 1996-12-13 | 1999-07-13 | 3Com Corporation | System and method for providing information to applets in a virtual machine |
US6317726B1 (en) | 1996-12-30 | 2001-11-13 | Netfolio, Inc. | Automated strategies for investment management |
JP3887867B2 (en) | 1997-02-26 | 2007-02-28 | 株式会社日立製作所 | How to register structured documents |
US6401080B1 (en) | 1997-03-21 | 2002-06-04 | International Business Machines Corporation | Intelligent agent with negotiation capability and method of negotiation therewith |
US6523022B1 (en) | 1997-06-09 | 2003-02-18 | Allen Hobbs | Method and apparatus for selectively augmenting retrieved information from a network resource |
US5864827A (en) | 1997-06-27 | 1999-01-26 | Belzberg Financial Markets & News International Inc. | System and method for providing an information gateway |
US6266683B1 (en) | 1997-07-24 | 2001-07-24 | The Chase Manhattan Bank | Computerized document management system |
US5966672A (en) | 1997-07-28 | 1999-10-12 | Knupp; Daniel F. | Visualization technology method |
US6049783A (en) | 1997-08-08 | 2000-04-11 | Power Financial Group, Inc. | Interactive internet analysis method |
US6564250B1 (en) | 1997-08-21 | 2003-05-13 | Planetweb, Inc. | Miniclient for internet appliance |
US6173276B1 (en) | 1997-08-21 | 2001-01-09 | Scicomp, Inc. | System and method for financial instrument modeling and valuation |
US6081774A (en) | 1997-08-22 | 2000-06-27 | Novell, Inc. | Natural language information retrieval system and method |
US6006206A (en) | 1997-09-08 | 1999-12-21 | Reuters Limited | Data health monitor for financial information communications networks |
US6078956A (en) | 1997-09-08 | 2000-06-20 | International Business Machines Corporation | World wide web end user response time monitor |
US6105005A (en) | 1997-09-15 | 2000-08-15 | Merrill Lynch & Co., Inc. | System for enhanced financial trading support |
US5944784A (en) | 1997-09-30 | 1999-08-31 | The United States Of America As Represented By The Secretary Of The Navy | Operating methods for a universal client device permittting a computer to receive and display information from several special applications simultaneously |
US6385660B2 (en) | 1997-10-06 | 2002-05-07 | Sun Microsystems, Inc. | Site specific message dispatch in object-oriented systems |
US6421653B1 (en) | 1997-10-14 | 2002-07-16 | Blackbird Holdings, Inc. | Systems, methods and computer program products for electronic trading of financial instruments |
US5986673A (en) | 1997-10-17 | 1999-11-16 | Martz; David R. | Method for relational ordering and displaying multidimensional data |
US20010011242A1 (en) | 1997-11-04 | 2001-08-02 | Katherine Roy Allex | System and method for interactive display of financial information and accompanying report generation |
US6018714A (en) | 1997-11-08 | 2000-01-25 | Ip Value, Llc | Method of protecting against a change in value of intellectual property, and product providing such protection |
US6457066B1 (en) | 1997-11-10 | 2002-09-24 | Microsoft Corporation | Simple object access protocol |
US6490584B2 (en) | 1997-11-26 | 2002-12-03 | International Business Machines Corporation | User-centered push methods and system |
US6389452B1 (en) | 1997-12-01 | 2002-05-14 | Recursion Software, Inc. | Method of communicating between objects and agents across a computer network |
US6035287A (en) | 1997-12-17 | 2000-03-07 | Omega Consulting, Inc. | Method and apparatus for bundled asset trading |
US5966700A (en) | 1997-12-23 | 1999-10-12 | Federal Home Loan Bank Of Chicago | Management system for risk sharing of mortgage pools |
JP3598211B2 (en) | 1998-01-13 | 2004-12-08 | 富士通株式会社 | Related word extraction device, related word extraction method, and computer readable recording medium on which related word extraction program is recorded |
US6078903A (en) | 1998-02-12 | 2000-06-20 | Kmv Development Lp | Apparatus and method for modeling the risk of loans in a financial portfolio |
US6304858B1 (en) | 1998-02-13 | 2001-10-16 | Adams, Viner And Mosler, Ltd. | Method, system, and computer program product for trading interest rate swaps |
US6286005B1 (en) | 1998-03-11 | 2001-09-04 | Cannon Holdings, L.L.C. | Method and apparatus for analyzing data and advertising optimization |
US6996539B1 (en) | 1998-03-11 | 2006-02-07 | Foliofn, Inc. | Method and apparatus for enabling smaller investors or others to create and manage a portfolio of securities or other assets or liabilities on a cost effective basis |
US6721715B2 (en) | 1998-03-30 | 2004-04-13 | Martin A. Nemzow | Method and apparatus for localizing currency valuation independent of the original and objective currencies |
US6381585B1 (en) | 1998-05-04 | 2002-04-30 | Durham Russell Maples | Method and apparatus for administering a share bond |
US6185567B1 (en) * | 1998-05-29 | 2001-02-06 | The Trustees Of The University Of Pennsylvania | Authenticated access to internet based research and data services |
US6424980B1 (en) | 1998-06-10 | 2002-07-23 | Nippon Telegraph And Telephone Corporation | Integrated retrieval scheme for retrieving semi-structured documents |
US6260021B1 (en) | 1998-06-12 | 2001-07-10 | Philips Electronics North America Corporation | Computer-based medical image distribution system and method |
US6349290B1 (en) | 1998-06-30 | 2002-02-19 | Citibank, N.A. | Automated system and method for customized and personalized presentation of products and services of a financial institution |
US7801782B2 (en) | 1998-07-31 | 2010-09-21 | Jpmorgan Chase Bank, Na | Object oriented system for managing complex financial instruments |
US6285989B1 (en) | 1998-08-07 | 2001-09-04 | Ariba, Inc. | Universal on-line trading market design and deployment system |
US6553385B2 (en) | 1998-09-01 | 2003-04-22 | International Business Machines Corporation | Architecture of a framework for information extraction from natural language documents |
US6243670B1 (en) | 1998-09-02 | 2001-06-05 | Nippon Telegraph And Telephone Corporation | Method, apparatus, and computer readable medium for performing semantic analysis and generating a semantic structure having linked frames |
US6161098A (en) | 1998-09-14 | 2000-12-12 | Folio (Fn), Inc. | Method and apparatus for enabling small investors with a portfolio of securities to manage taxable events within the portfolio |
US6418417B1 (en) | 1998-10-08 | 2002-07-09 | Strategic Weather Services | System, method, and computer program product for valuating weather-based financial instruments |
US6489954B1 (en) | 1998-10-13 | 2002-12-03 | Prophet Financial Systems, Inc. | System and method for permitting a software routine having restricted local access to utilize remote resources to generate locally usable data structure |
US6317728B1 (en) | 1998-10-13 | 2001-11-13 | Richard L. Kane | Securities and commodities trading system |
US6313854B1 (en) | 1998-10-16 | 2001-11-06 | International Business Machines Corporation | Display mechanism for HTML frames |
US6323881B1 (en) | 1998-10-23 | 2001-11-27 | Nortel Networks Limited | Web based GUI server and method for a telecommunications node |
US6260024B1 (en) | 1998-12-02 | 2001-07-10 | Gary Shkedy | Method and apparatus for facilitating buyer-driven purchase orders on a commercial network system |
US6338055B1 (en) | 1998-12-07 | 2002-01-08 | Vitria Technology, Inc. | Real-time query optimization in a decision support system |
US6381586B1 (en) | 1998-12-10 | 2002-04-30 | International Business Machines Corporation | Pricing of options using importance sampling and stratification/ Quasi-Monte Carlo |
US6338068B1 (en) | 1998-12-14 | 2002-01-08 | International Business Machines Corporation | Method to demonstrate software that performs database queries |
US6148298A (en) | 1998-12-23 | 2000-11-14 | Channelpoint, Inc. | System and method for aggregating distributed data |
US6233566B1 (en) * | 1998-12-31 | 2001-05-15 | Ultraprise Corporation | System, method and computer program product for online financial products trading |
US20030018558A1 (en) | 1998-12-31 | 2003-01-23 | Heffner Reid R. | System, method and computer program product for online financial products trading |
US6236977B1 (en) | 1999-01-04 | 2001-05-22 | Realty One, Inc. | Computer implemented marketing system |
US6272474B1 (en) | 1999-02-08 | 2001-08-07 | Crisostomo B. Garcia | Method for monitoring and trading stocks via the internet displaying bid/ask trade bars |
US6360210B1 (en) * | 1999-02-12 | 2002-03-19 | Folio Trade Llc | Method and system for enabling smaller investors to manage risk in a self-managed portfolio of assets/liabilities |
US6513019B2 (en) * | 1999-02-16 | 2003-01-28 | Financial Technologies International, Inc. | Financial consolidation and communication platform |
BR0008461A (en) | 1999-02-24 | 2002-01-29 | Min Ho Cha | Automatic order submission method and system for stock trading, title, item, future index, option, index, currency and the like |
US6408282B1 (en) | 1999-03-01 | 2002-06-18 | Wit Capital Corp. | System and method for conducting securities transactions over a computer network |
US6631373B1 (en) | 1999-03-02 | 2003-10-07 | Canon Kabushiki Kaisha | Segmented document indexing and search |
US6510406B1 (en) | 1999-03-23 | 2003-01-21 | Mathsoft, Inc. | Inverse inference engine for high performance web search |
JP2000293569A (en) | 1999-04-02 | 2000-10-20 | Rg Asset Management Co Ltd | Portfoilo presentation method, device and system, and storage medium of computer program |
US6446110B1 (en) | 1999-04-05 | 2002-09-03 | International Business Machines Corporation | Method and apparatus for representing host datastream screen image information using markup languages |
US6278982B1 (en) | 1999-04-21 | 2001-08-21 | Lava Trading Inc. | Securities trading system for consolidation of trading on multiple ECNS and electronic exchanges |
US6629097B1 (en) | 1999-04-28 | 2003-09-30 | Douglas K. Keith | Displaying implicit associations among items in loosely-structured data sets |
US6275229B1 (en) | 1999-05-11 | 2001-08-14 | Manning & Napier Information Services | Computer user interface for graphical analysis of information using multiple attributes |
US6343287B1 (en) | 1999-05-19 | 2002-01-29 | Sun Microsystems, Inc. | External data store link for a profile service |
US6442545B1 (en) | 1999-06-01 | 2002-08-27 | Clearforest Ltd. | Term-level text with mining with taxonomies |
US6611825B1 (en) | 1999-06-09 | 2003-08-26 | The Boeing Company | Method and system for text mining using multidimensional subspaces |
US6347307B1 (en) | 1999-06-14 | 2002-02-12 | Integral Development Corp. | System and method for conducting web-based financial transactions in capital markets |
US8862507B2 (en) | 1999-06-14 | 2014-10-14 | Integral Development Corporation | System and method for conducting web-based financial transactions in capital markets |
US6480882B1 (en) | 1999-06-25 | 2002-11-12 | Emc Corporation | Method for control and communication between computer systems linked through a network |
KR20010004404A (en) | 1999-06-28 | 2001-01-15 | 정선종 | Keyfact-based text retrieval system, keyfact-based text index method, and retrieval method using this system |
US6321212B1 (en) * | 1999-07-21 | 2001-11-20 | Longitude, Inc. | Financial products having a demand-based, adjustable return, and trading exchange therefor |
US7212993B1 (en) | 1999-07-27 | 2007-05-01 | Merrill Lynch & Co., Inc. | Security receipts management system |
US6285986B1 (en) | 1999-08-11 | 2001-09-04 | Venturemakers Llc | Method of and apparatus for interactive automated registration, negotiation and marketing for combining products and services from one or more vendors together to be sold as a unit |
US6493681B1 (en) | 1999-08-11 | 2002-12-10 | Proxytrader, Inc. | Method and system for visual analysis of investment strategies |
US20020073007A1 (en) | 1999-08-11 | 2002-06-13 | Elie Ayache | System, method, and computer program product for use of lattices in valuating options |
US6332163B1 (en) | 1999-09-01 | 2001-12-18 | Accenture, Llp | Method for providing communication services over a computer network system |
US6598028B1 (en) | 1999-09-03 | 2003-07-22 | Lynn Sullivan | Computer-implemented universal financial management/translation system and method |
US6356933B2 (en) | 1999-09-07 | 2002-03-12 | Citrix Systems, Inc. | Methods and apparatus for efficiently transmitting interactive application data between a client and a server using markup language |
WO2001024095A1 (en) | 1999-09-30 | 2001-04-05 | Keith Kelly | System and method for tracking and modifying a mortgage rate |
US6832209B1 (en) | 1999-10-06 | 2004-12-14 | Ronald A. Karp | Method and apparatus for tax-efficient investment using both long and short positions |
US7831494B2 (en) | 1999-11-01 | 2010-11-09 | Accenture Global Services Gmbh | Automated financial portfolio coaching and risk management system |
US20030126068A1 (en) | 1999-11-18 | 2003-07-03 | Eric Hauk | Virtual trading floor system |
AU2091101A (en) | 1999-12-14 | 2001-06-25 | Citibank, N.A. | Method and system for database query |
US8255809B2 (en) | 1999-12-23 | 2012-08-28 | International Business Machines Corporation | Webtop: multiple applet delivery within a fixed-sized viewing space |
US6711554B1 (en) | 1999-12-30 | 2004-03-23 | Lee Salzmann | Method and system for managing and preparing documentation for real estate transactions |
US7228288B2 (en) | 2000-01-11 | 2007-06-05 | Teq Development | Method of repeatedly securitizing intellectual property assets and facilitating investments therein |
US6349291B1 (en) | 2000-01-21 | 2002-02-19 | Attractor Holdings Llc | Method and system for analysis, display and dissemination of financial information using resampled statistical methods |
US7110975B2 (en) | 2000-01-27 | 2006-09-19 | Marks De Chabris Gloriana | Order matching system |
US6910182B2 (en) | 2000-01-31 | 2005-06-21 | Xmlcities, Inc. | Method and apparatus for generating structured documents for various presentations and the uses thereof |
US6615187B1 (en) | 2000-02-09 | 2003-09-02 | Warren S. Ashenmil | Method of securitizing and trading real estate brokerage options |
US7765133B1 (en) | 2000-02-16 | 2010-07-27 | Omgeo Llc | System for facilitating trade processing and trade management |
US7283977B1 (en) | 2000-02-25 | 2007-10-16 | Kathleen Tyson-Quah | System for reducing risk payment-based transactions wherein a risk filter routine returns instructions authorizing payment to a payment queue for later re-evaluation |
AU2001241725A1 (en) | 2000-02-25 | 2001-09-03 | John C. Vlahoplus | Electronic ownership control system and method |
US6581062B1 (en) | 2000-03-02 | 2003-06-17 | Nimble Technology, Inc. | Method and apparatus for storing semi-structured data in a structured manner |
AU4771901A (en) | 2000-03-22 | 2001-10-03 | Unifiedmarket Inc | Method and system for a network-based securities marketplace |
CA2404854A1 (en) | 2000-04-05 | 2001-10-18 | Ruesch International, Inc. | System, method and apparatus for international financial transactions |
CA2405310A1 (en) | 2000-04-14 | 2001-10-25 | E-Vantage International, Inc. | Method and system for delivering foreign exchange risk management advisory solutions to a designated market |
CA2306933A1 (en) | 2000-04-28 | 2001-10-28 | Ibm Canada Limited-Ibm Canada Limitee | Method for data access code generation |
US7392211B2 (en) | 2000-05-09 | 2008-06-24 | International Business Machines Corporation | Analysis of financial derivatives |
US6516308B1 (en) | 2000-05-10 | 2003-02-04 | At&T Corp. | Method and apparatus for extracting data from data sources on a network |
GB2362238A (en) | 2000-05-12 | 2001-11-14 | Applied Psychology Res Ltd | Automatic text classification |
WO2001088820A2 (en) | 2000-05-16 | 2001-11-22 | Blackbird Holdings, Inc. | Systems and methods for conducting derivative trades electronically |
WO2001088818A2 (en) | 2000-05-18 | 2001-11-22 | Treasuryconnect Llc | Electronic trading systems and methods |
US7028250B2 (en) | 2000-05-25 | 2006-04-11 | Kanisa, Inc. | System and method for automatically classifying text |
CA2410307A1 (en) | 2000-05-25 | 2001-11-29 | Fx Deal Limited | Transaction system |
AU2001275049A1 (en) | 2000-05-31 | 2001-12-11 | American International Group, Inc. | Method and system for foreign exchange price procurement and automated hedging |
US7249095B2 (en) | 2000-06-07 | 2007-07-24 | The Chase Manhattan Bank, N.A. | System and method for executing deposit transactions over the internet |
US7032179B2 (en) | 2000-06-12 | 2006-04-18 | Peer Image, Inc. | System for creating on a computer display screen composite images from diverse sources |
US6968355B2 (en) | 2000-06-27 | 2005-11-22 | Ubs Ag | Method and system for providing distributed functionaltiy and data analysis system utilizing same |
US20020026405A1 (en) | 2000-07-12 | 2002-02-28 | Lawrence Haar | Tradable futures, options, futures on options, options on futures relating to an index on the prices of airline passenger miles |
US7152058B2 (en) | 2000-07-13 | 2006-12-19 | Biap Systems, Inc. | Apparatus for and method of selectively retrieving information and enabling its subsequent display |
US6429868B1 (en) | 2000-07-13 | 2002-08-06 | Charles V. Dehner, Jr. | Method and computer program for displaying quantitative data |
US6633868B1 (en) | 2000-07-28 | 2003-10-14 | Shermann Loyall Min | System and method for context-based document retrieval |
JP2002041576A (en) | 2000-07-31 | 2002-02-08 | Fuji Photo Film Co Ltd | Contents managing server, server system, and operation control method therefor |
US7395234B2 (en) | 2000-08-14 | 2008-07-01 | Khai Hee Kwan | Method, apparatus and program for pricing, transferring, buying, selling and exercising financial options for paying educational course fees |
WO2002017193A1 (en) | 2000-08-22 | 2002-02-28 | Goldman, Sachs & Co. | Foreign exchange trading system |
EP1184796A1 (en) | 2000-08-29 | 2002-03-06 | Sudimage | Method of associative navigation in a multimedia database |
US20020069157A1 (en) | 2000-09-15 | 2002-06-06 | Jordan Michael S. | Exchange fusion |
US20030037174A1 (en) | 2000-10-02 | 2003-02-20 | David Lavin | Common adapter/connector architecture |
US20030115122A1 (en) | 2000-10-13 | 2003-06-19 | Slater Michael Sol | System and method for alert processing and delivery |
US20020123947A1 (en) | 2000-11-02 | 2002-09-05 | Rafael Yuste | Method and system for analyzing financial market data |
US20020099656A1 (en) | 2000-11-14 | 2002-07-25 | Poh Wong Kenneth Tien | Electronic funds transfer system for processing multiple currency transactions |
US20020130868A1 (en) | 2000-11-28 | 2002-09-19 | Aston Guardian Limited | Method and apparatus for providing financial instrument interface |
SG114481A1 (en) | 2000-12-06 | 2005-09-28 | Netrobust Pte Ltd | Real-time financial charting system |
US20020078253A1 (en) | 2000-12-20 | 2002-06-20 | Gyorgy Szondy | Translation of digital contents based on receiving device capabilities |
US7590585B2 (en) | 2000-12-22 | 2009-09-15 | Marketaxess Holdings Inc. | Method and system for computer-implemented trading of secondary market debt securities |
US7418414B2 (en) | 2000-12-29 | 2008-08-26 | Eprosper | System and method to organize and manage corporate capitalization and securities |
US20020087454A1 (en) | 2000-12-30 | 2002-07-04 | Bea Calo | Global trading system |
US8311911B2 (en) | 2000-12-30 | 2012-11-13 | E*Trade Financial Corporation | Global foreign exchange system |
AU2002243997A1 (en) | 2001-02-14 | 2002-08-28 | American International Group, Inc. | Risk insurance financial product and method |
SG111911A1 (en) | 2001-02-26 | 2005-06-29 | Fairex Internat Financial Syst | Method and system for facilitating foreign currency exchange transactions over a network |
US20020184237A1 (en) | 2001-04-03 | 2002-12-05 | Mcfeely Brooks B. | Methods and apparatus for compiling, processing and disseminating equity transaction data |
US20020169707A1 (en) | 2001-04-05 | 2002-11-14 | Koek Wei Song | Financial language internet real-time trading |
US7593884B2 (en) | 2001-04-10 | 2009-09-22 | Goldman Sachs & Co. | Multi-currency marketplace |
US20020194114A1 (en) | 2001-04-16 | 2002-12-19 | Erdmier Lisa M. | Multi-dimensional representation of financial data |
WO2002088906A2 (en) | 2001-04-30 | 2002-11-07 | Goldman, Sachs & Co. | Universal interface to a financial trading system |
US20020194097A1 (en) | 2001-05-07 | 2002-12-19 | Reitz James T. | Method and system for two-way communication between asset managers and asset custodians |
US20020174043A1 (en) | 2001-05-14 | 2002-11-21 | Gilbert Andrew C. | Systems and methods for financial instrument inspection |
US20020184132A1 (en) | 2001-06-05 | 2002-12-05 | Richard Foster | Method for analyzing the performance of securities |
US20030009411A1 (en) | 2001-07-03 | 2003-01-09 | Pranil Ram | Interactive grid-based graphical trading system for real time security trading |
GB2377046A (en) | 2001-06-29 | 2002-12-31 | Ibm | Metadata generation |
US20030093565A1 (en) | 2001-07-03 | 2003-05-15 | Berger Adam L. | System and method for converting an attachment in an e-mail for delivery to a device of limited rendering capability |
US20030066025A1 (en) | 2001-07-13 | 2003-04-03 | Garner Harold R. | Method and system for information retrieval |
US6990534B2 (en) | 2001-07-20 | 2006-01-24 | Flowfinity Wireless, Inc. | Method for a proactive browser system for implementing background frame maintenance and asynchronous frame submissions |
US20030149653A1 (en) | 2001-09-11 | 2003-08-07 | Neill Penney | Method and apparatus for conducting financial transactions |
US6993712B2 (en) | 2001-09-28 | 2006-01-31 | Siebel Systems, Inc. | System and method for facilitating user interaction in a browser environment |
US20030065594A1 (en) | 2001-09-28 | 2003-04-03 | Fxotica.Com, Inc. | Multilateral allocated-credit foreign exchange risk hedging method and system |
US20030078869A1 (en) | 2001-10-19 | 2003-04-24 | Williams James Benjamin | Interactive control interface for evaluating and executing a strategy for controlling investment risk |
US20030088496A1 (en) | 2001-11-02 | 2003-05-08 | Koninklijke Philips Electronics N.V. | Tag processing terminal for facilitating competitive internet bid transactions |
US8005743B2 (en) | 2001-11-13 | 2011-08-23 | Intercontinentalexchange, Inc. | Electronic trading confirmation system |
US7987501B2 (en) | 2001-12-04 | 2011-07-26 | Jpmorgan Chase Bank, N.A. | System and method for single session sign-on |
US7209913B2 (en) | 2001-12-28 | 2007-04-24 | International Business Machines Corporation | Method and system for searching and retrieving documents |
US6963869B2 (en) | 2002-01-07 | 2005-11-08 | Hewlett-Packard Development Company, L.P. | System and method for search, index, parsing document database including subject document having nested fields associated start and end meta words where each meta word identify location and nesting level |
US20030154071A1 (en) | 2002-02-11 | 2003-08-14 | Shreve Gregory M. | Process for the document management and computer-assisted translation of documents utilizing document corpora constructed by intelligent agents |
US7941533B2 (en) | 2002-02-19 | 2011-05-10 | Jpmorgan Chase Bank, N.A. | System and method for single sign-on session management without central server |
JP4088131B2 (en) | 2002-03-28 | 2008-05-21 | 富士通株式会社 | Synchronous content information generation program, synchronous content information generation device, and synchronous content information generation method |
US8103569B2 (en) | 2002-05-24 | 2012-01-24 | Broms Peter A | Method for adjusting the value of derivative securities due to a corporate event |
US20040078248A1 (en) | 2002-05-29 | 2004-04-22 | Altschuler Douglas H. | Method and apparatus for protecting an entity against loss in its valuation |
US7143174B2 (en) | 2002-06-12 | 2006-11-28 | The Jpmorgan Chase Bank, N.A. | Method and system for delayed cookie transmission in a client-server architecture |
US7472171B2 (en) | 2002-06-21 | 2008-12-30 | Jpmorgan Chase Bank, National Association | Method and system for determining receipt of a delayed cookie in a client-server architecture |
US6938139B2 (en) | 2002-06-21 | 2005-08-30 | Jp Morgan Chase Bank | Method and system for data element change across multiple instances of data base cache |
US7620584B2 (en) | 2002-09-27 | 2009-11-17 | Jpmorgan Chase Bank, National Association | System and method for online trading using an electronic spreadsheet |
US20040064402A1 (en) | 2002-09-27 | 2004-04-01 | Wells Fargo Home Mortgage, Inc. | Method of refinancing a mortgage loan and a closing package for same |
US20040103003A1 (en) | 2002-11-22 | 2004-05-27 | E-Comm Connect, Llc | Method and system for insuring users of electronic trading systems or exchanges and traditional established commodity exchanges against weather-related risks and hazards |
WO2004061561A2 (en) | 2002-12-30 | 2004-07-22 | Fannie Mae | System and method for facilitating delivery of a loan to a secondary mortgage market purchaser |
US20040148247A1 (en) | 2003-01-24 | 2004-07-29 | Lawrence Miller | Network-based systems, methods, and software for initiating or executing financial transactions |
US7593881B2 (en) | 2003-02-14 | 2009-09-22 | Winklevoss, Llc | System and method for donor-directed asset management |
US20050060256A1 (en) | 2003-09-12 | 2005-03-17 | Andrew Peterson | Foreign exchange trading interface |
US7593876B2 (en) | 2003-10-15 | 2009-09-22 | Jp Morgan Chase Bank | System and method for processing partially unstructured data |
-
1999
- 1999-12-22 US US09/470,180 patent/US7966234B1/en not_active Expired - Fee Related
-
2000
- 2000-05-16 AU AU50213/00A patent/AU5021300A/en not_active Abandoned
- 2000-05-16 WO PCT/US2000/013466 patent/WO2000070493A2/en active Application Filing
Also Published As
Publication number | Publication date |
---|---|
WO2000070493A8 (en) | 2001-08-02 |
US7966234B1 (en) | 2011-06-21 |
WO2000070493A2 (en) | 2000-11-23 |
AU5021300A (en) | 2000-12-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7181422B1 (en) | Segregation and management of financial assets by rules | |
US8060440B2 (en) | System and method for modifying attribute data pertaining to financial assets in a data processing system | |
US6856970B1 (en) | Electronic financial transaction system | |
US7885889B2 (en) | System and method for processing data pertaining to financial assets | |
US9665859B2 (en) | Method for future payment transactions | |
US9928546B2 (en) | System and method for processing data pertaining to financial assets | |
US8504468B2 (en) | System and method for compiling information for resolving transactions | |
US7593889B2 (en) | System and method for processing data pertaining to financial assets | |
US7979346B2 (en) | System and method for pricing loans in the secondary mortgage market | |
US7818228B1 (en) | System and method for managing consumer information | |
US8666885B1 (en) | Customized consumer loan product search system and method | |
US6513019B2 (en) | Financial consolidation and communication platform | |
US8515861B2 (en) | System and method for facilitating sale of a loan to a secondary market purchaser | |
US6311169B2 (en) | On-line consumer credit data reporting system | |
US20050080722A1 (en) | Online system for delivery of loans to a secondary market purchaser | |
US7966234B1 (en) | Structured finance performance analytics system | |
EP1200917A1 (en) | Electronic statement, bill presentment and payment system and method | |
US20040225595A1 (en) | System and method for processing data pertaining to financial assets | |
US20040111344A1 (en) | Financial data reporting system | |
US9805421B1 (en) | Integrated investment management system with network datafeed and incremental database refresh | |
US7587350B1 (en) | Integrated investment management system with network datafeed | |
WO2001025997A2 (en) | Structured finance transaction analytic system and method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AK | Designated states |
Kind code of ref document: A2 Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY CA CH CN CR CU CZ DE DK DM DZ EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX NO NZ PL PT RO RU SD SE SG SI SK SL TJ TM TR TT TZ UA UG UZ VN YU ZA ZW |
|
AL | Designated countries for regional patents |
Kind code of ref document: A2 Designated state(s): GH GM KE LS MW SD SL SZ TZ UG ZW AM AZ BY KG KZ MD RU TJ TM AT BE CH CY DE DK ES FI FR GB GR IE IT LU MC NL PT SE BF BJ CF CG CI CM GA GN GW ML MR NE SN TD TG |
|
121 | Ep: the epo has been informed by wipo that ep was designated in this application | ||
DFPE | Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101) | ||
AK | Designated states |
Kind code of ref document: C1 Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY CA CH CN CR CU CZ DE DK DM DZ EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX NO NZ PL PT RO RU SD SE SG SI SK SL TJ TM TR TT TZ UA UG UZ VN YU ZA ZW |
|
AL | Designated countries for regional patents |
Kind code of ref document: C1 Designated state(s): GH GM KE LS MW SD SL SZ TZ UG ZW AM AZ BY KG KZ MD RU TJ TM AT BE CH CY DE DK ES FI FR GB GR IE IT LU MC NL PT SE BF BJ CF CG CI CM GA GN GW ML MR NE SN TD TG |
|
D17 | Declaration under article 17(2)a | ||
AK | Designated states |
Kind code of ref document: C2 Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY CA CH CN CR CU CZ DE DK DM DZ EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX NO NZ PL PT RO RU SD SE SG SI SK SL TJ TM TR TT TZ UA UG UZ VN YU ZA ZW |
|
AL | Designated countries for regional patents |
Kind code of ref document: C2 Designated state(s): GH GM KE LS MW SD SL SZ TZ UG ZW AM AZ BY KG KZ MD RU TJ TM AT BE CH CY DE DK ES FI FR GB GR IE IT LU MC NL PT SE BF BJ CF CG CI CM GA GN GW ML MR NE SN TD TG |
|
COP | Corrected version of pamphlet |
Free format text: PAGES 1/32-32/32, DRAWINGS, REPLACED BY NEW PAGES 1/32-32/32; DUE TO LATE TRANSMITTAL BY THE RECEIVING OFFICE |
|
REG | Reference to national code |
Ref country code: DE Ref legal event code: 8642 |
|
122 | Ep: pct application non-entry in european phase | ||
NENP | Non-entry into the national phase |
Ref country code: JP |