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: 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 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: 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: 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 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: A workflow management system provides an integrated approach to exchanging information real-time and notifying responsible persons of pending deadlines concerning a particular deal. The web-based system includes a server having a centralized database of deal data and at least one client system facilitates a method of uploading initial proposed deal data, notifying an underwriter of the uploaded proposal, uploading a workflow timeline for the proposed deal and notifying responsible persons that actions for tasks are due according to the timeline. The workflow management system is further configured to restrict database access to authorized users for viewing of and providing updates to the deal.

Abstract: A virtual printer for transmitting information from one application to another application. In one embodiment, the virtual printer includes a print driver for capturing information, and a communication system for communicating the captured information to a remote system.

Abstract: Systems and processes that automate receiving of unstructured information contained in electronic documents, detecting the document type, determining the corresponding document format, extracting structured information from the source document, and populating an information store with the extracted information for analysis purpose, are described. Generally, the electronic documents are pre-characterized and the extraction and mapping/translation details are developed as scripts on a per document type basis. These extraction and mapping/translation scripts are then automatically selected and used to automatically drive the subsequent information extraction processes.