Abstract: Systems and processes for more accurate mortgage scoring are described. A proportional hazards model is employed in which not only the occurrence of an event, but also the time to an event such as default of a loan, is considered. In this approach, a hazard rate can be viewed as the chance that an observation will experience an event in the next instant. There are two components to the response, and a binary variable is utilized to indicate whether the event was observed or not, and a time variable. As a result, the number of loans used for modeling is greatly increased, and the time it takes to observe the event, a valuable piece of information in itself, is included in the process. In addition, nonlinear effects are advantageously modeled in a continuous fashion using hat functions to map a series of independent variables. This approach typically yields smaller prediction errors near boundary points.

Abstract: A multi-layer software architecture permits efficient construction of server software applications for many diverse domains. A logic layer contains problem-solving logic that processes client requests for a given problem domain. Separate from the logic layer is a presentation layer that structures replies for return to the clients. The presentation layer is divided into two tiers: presentation tier and a rendering tier. The presentation tier contains code that structures how the responses will appear when presented at the client. The rendering tier contains code that controls how the responses are output to particular clients.

Abstract: A set of pluggable rules are used to define low-level security rules in terms of high-level security concepts. The rules are part of a pluggable module that can interact with a business logic to provide different granularities of control.

Abstract: Systems and methods that facilitate selection of particular equipment desired to be leased through contract execution are described herein. In one exemplary embodiment, the system includes a server having a database for storing data relating to an aircraft fleet. The stored data includes specific information relating to aircraft in the fleet, as well as terms of existing leases for those aircraft in the fleet then currently leased. The system is accessible to the customer via a network such as a wide area network, e.g., an extranet accessible via the Internet, so that the customer can query the database and identify aircraft the meets specific mission requirements. The system facilitates meeting customer requirements in that a customer can readily select, via the system, multiple aircraft desired for lease without requiring involvement of the marketing executive. Such selections can be made by the customer any time, anywhere, at the customers convenience.

Abstract: A method of valuation of large groups of assets using classification and regression trees is described. The method includes defining relevant portfolio segmentations, assessing performance of the classification and regression tree based model against a simple model and ranking all portfolio segments based upon performance of the models. Iterative and adaptive statistical evaluation of all assets and statistical inferences are used to generate the segmentations. The assets are collected into a database, grouped by credit variable, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped and a collective valuation is established by cumulating individual valuations.

Abstract: An integrated system organizes a company's experiences, operating procedures, best practices, information sources, competitive information and analytical tools. The goal is increasing profitability within a due diligence process while facilitating ongoing operations. The system incorporates a method for collaborating on due diligence issues to affect knowledge building within due diligence teams. The method includes accessing stored, accumulated knowledge in a repository from prior due diligence exercises, applying to due diligence decisions criteria based on consolidated analytical building blocks of past due diligence exercises and storing newly accumulated knowledge from the current due diligence exercise into the repository of accumulated knowledge.

Abstract: A method of valuation of groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive statistical evaluation of all assets. Statistical inferences drawn from the evaluation are applied to generate the inferred values. The assets are collected into a database, catagorized, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuation is established. Simulated bid scenarios are examined for combinations of bid prices and a best bid price according to risk and return is determined.

Abstract: A method of valuation of large groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate inferred values. Individual asset values are developed and listed in tables so that individual asset values can be taken and quickly grouped in any desired or prescribed manner for bidding purposes. The assets are collected into a database, divided by credit variable, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuation established by cumulating the individual valuations.

Abstract: A method of valuation of large groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive supervised and unsupervised statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate the inferred asset values. Individual asset values are developed and listed in realtional tables so that individual asset values can be rapidly taken from the tables and quickly grouped in any desired or prescribed manner for bidding purposes. The assets are collected into a database, divided into categories by credit variable, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuations established by cumulating the individual valuations.

Abstract: A network-based method for facilitating a selection of at least one power generating facility, using a network-based system including a server and at least one device connected to the server via a network is disclosed. The method includes identifying assumptions to evaluate a power generating facility, receiving power plant facility information, and computing performance metrics of the facility based on received information and the identified assumptions. Other embodiments of the invention utilize a System, a Computer Program, an Apparatus, or a Computer for determining a value for one or more power generating facilities based on pre-determined assumptions that are developed from historical experience.

Abstract: Methods and apparatus for processing cash advance requests are described. In one embodiment, the system includes a data repository, and a process management and workflow system coupled to the data repository. The process management and workflow system is configured to record a cash advance request, evaluate current collateral information, and evaluate current credit status.

Abstract: A method of inferring valuation of large groups of assets by credit scores includes the steps of organizing valuation scores, adjusting valuation scores based on special factors and business decisions, reconciling multiple valuation scores which describe the same assets and making an overall adjustment to override the inferred valuation. Individual asset values are developed and listed in tables so that individual asset values can be rapidly taken from the tables and quickly grouped for bidding purposes. The valuations are collected into a database, divided into categories by credit variable, subdivided by ratings as to those variables and then rated individually.

Abstract: A method of valuation of large groups of assets by a partial full underwriting, partial sample underwriting and inferred valuation of the remainder using an iterative and adaptive statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate inferred asset values. Individual asset values are developed and listed so that individual asset values can be rapidly taken and quickly grouped in any manner for bidding purposes. The assets are collected into a database, divided into categories, subdivided by ratings and then rated individually. Asset value is continuously recalculated based on progressively improving asset valuation data. The assets are then regrouped for bidding and a collective valuation is established by cumulating individual valuations.

Abstract: Methods and apparatus for submitting reports to an automated lending system are described. At a lowest level interface, a user manually submits information via a browser, and at a highest level interface, information is submitted via a print driver. Although the broadest spectrum of client base is addressed by having the loosest coupling to the accounting system, i.e., the lowest level interface, the loosest coupling requires the most user interaction. As the interface level increases, the accounting system has a tighter coupling with the system, which provides increased functionality at the expense of restricting the variety of client types that may be supported (e.g., platform and operating system specific).

Abstract: A method of valuation of large groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive supervised and unsupervised statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate the inferred asset values. Individual asset values are developed and listed in relational tables so that individual asset values can be rapidly taken from the tables and quickly grouped in any desired or prescribed manner for bidding purposes. The assets are collected into a database, divided into categories by credit variable, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuations established by cumulating the individual valuations.

Abstract: The present invention is a method of allowing inclusion of more than one variable in a Classification and Regression Tree (CART) analysis. The method includes predicting y using p exploratory variables, where y is a multivariate, continuous response vector, describing a probability density function at “parent” and “child” nodes using a multivariate normal distribution, which is a function of y, and defining a split function where “child” node distributions are individualized, compared to the parent node. In one embodiment a system is configured to implement the multivariate CART analysis for predicting behavior in a non-performing loan portfolio.

Abstract: A method of valuation of large groups of assets using an iterative and adaptive statistical evaluation to generate asset values is described. Individual asset values are developed and listed so that individual asset values can be rapidly taken and quickly grouped in any desired or prescribed manner for bidding purposes. One method of automated underwriting includes defining clusters of financial instruments by common attributes, receiving an expert opinion of value from selected samples of the clusters, checking values for combinations of attributes and reconciling the values. A collective valuation of the assets is established by cumulating the individual valuations.

Abstract: Methods and apparatus for monitoring, for example, accounts receivable, accounts payable, inventory, trading partners, chart of accounts, invoices, and/or payments, using a process management and workflow system coupled to a data repository are described. In one embodiment, the process management and workflow system is configured to be coupled to an accounting system by a communications link, and communicates with the accounting system via the communication link, authenticates the validity of the accounting system, receives financial information from the accounting system, extracts data from the financial information, and loads the extracted data into said data repository.

Abstract: Methods and Apparatus for monitoring collateral risk are described. In one embodiment, the method includes monitoring, for example, accounts receivable, accounts payable, inventory, trading partners, chart of accounts, invoices, and/or payments of a client using a process management and workflow system coupled to a data repository. Specifically, and in an exemplary embodiment, the method includes receiving financial information, extracting data from the financial information, evaluating current collateral information based on the data, and evaluating current credit status.

Abstract: Methods and systems for operating a computer to execute a search to identify potential transactions that meet pre-defined criteria, generate an offering for at least one of the identified potential transactions, and transmit the offering to a party to the potential transaction is described. In an exemplary embodiment, the offering generated is generated for a secondary product or products which are associated or bundled with the primary transaction. In another exemplary embodiment, the search is automated and performed on-line via a wide area network such as the Internet. The search is automated in that once a user enters search criteria, the search is performed in accordance with a defined frequency and without requiring user intervention. Once search results are found, then an offering is generated and transmitted to a potential customer.