Abstract: A method for assessing underwriting and distribution risks associated with a portfolio of subordinate debt is provided. The method is performed using a computer system coupled to a database. The method includes storing in the database historical bond issue data for a period of time preceding and proceeding at least one historical liquidity event and generating a plurality of simulated subordinate debt warehouses using the computer and the historical bond issue data stored in the database. The method also includes calculating a historical loss distribution based on the plurality of simulated subordinate debt warehouses generated. The method also includes determining a value at risk for a portfolio of subordinate debt resulting from a potential liquidity event by applying the historical loss distribution to the portfolio of subordinate debt.

Abstract: A server system is coupled to a centralized database and at least one client system. Business information relating to at least one second business entity is received at the server system from the client system. The business information received at the server system is stored in the centralized database. The business information stored in the centralized database is tracked, and the centralized database is periodically updated with newly received business information to maintain the business information. The business information is provided in response to an inquiry.

Abstract: A method for generating an optimized transition probability matrix (OTPM) is provided. The method is performed using a computer system coupled to a database. The method includes storing in the database financial data including obligor credit ratings, generating multi-period empirical transition probability matrices (ETPMs) for a selected time horizon using the financial data stored within the database, generating a mathematical expression to minimize a difference between target ETPM values and candidate OTPM values, and calculating the OTPM from the generated mathematical expression and the financial data stored within the database, wherein the calculated OTPM includes a first set of optimized transition probability values for predicting a likelihood that a credit rating of an obligor will migrate from one credit state to another credit state during a first time interval in the future.

Abstract: The cross correlation tool is used to quickly understand and describe the composition of an asset portfolio and the response of a user selected variable versus other variables in the portfolio. The tool is also used to quickly identify unexpectedly high or low correlation between two attribute variables and the response variable. Identification of unexpected correlations improves understanding of the portfolio data and the decisions regarding a potential purchase of the portfolio. Attribute variables are of two types, continuous and categorical. The cross correlations are computed between all variables of interest and their bin or level and presented in a two dimensional matrix for easy identification of trends.

Abstract: A method for predicting expected and unexpected loss outcomes for a portfolio of loans is provided. The loans are issued by a lender to a plurality of borrowers. The method includes recording key account and risk attributes for a historical portfolio of loans, recording actual default and loss information for each borrower included within the historical portfolio of loans, and comparing the key account and risk attributes with the actual default and loss information over a period of time.

Abstract: A method for tracking and approving legal expenses incurred by a business entity using a legal budgeting computer system is provided. The method includes creating a legal matter reflecting legal work to be performed by an outside counsel, creating a purchase order for the legal matter including a budgeted amount which is expected to be paid to the outside counsel for performing the legal work, receiving from the outside counsel an invoice, and prompting an account manager to designate a method of reimbursement for the invoice including at least one of paid at close, charge to good faith, charge to loan, customer to wire money, and a non-reimbursable charge to cost center. The method also includes submitting the invoice to an approval process, validating the approved invoice amount, paying the approved invoice amount, and automatically reconciling the approved invoice amount.

Abstract: A document assembly production system including a server and at least one remote computer is provided. The server has a plurality of templates and other document assembly assets stored therein. The remote computer is configured to communicate with the server to access the plurality of templates and the other assembly assets to assemble fully formatted documents without using any document-assembly software and word processing software stored on the remote computer.

Abstract: The cross correlation tool is used to quickly understand and describe the composition of an asset portfolio and the response of a user selected variable versus other variables in the portfolio. The tool is also used to quickly identify unexpectedly high or low correlation between two attribute variables and the response variable. Identification of unexpected correlations improves understanding of the portfolio data and the decisions regarding a potential purchase of the portfolio. Attribute variables are of two types, continuous and categorical. The cross correlations are computed between all variables of interest and their bin or level and presented in a two dimensional matrix for easy identification of trends.

Abstract: Methods and systems for assessing a loan portfolio for variance are described. In an example embodiment, the method comprises the steps of identifying a milestone for at least one loan in the portfolio at a selected time of assessment, determining planned collections for the loan for the selected time of assessment, determining actual collections for the loan the selected time period of assessment, and populating a spreadsheet identifying a current milestone and a cumulative variance between planned collections and actual collections at the milestone for the loan.

Abstract: In an exemplary embodiment, invention is a method for analyzing portfolios of distressed financial assets for the purpose of bidding to acquire those assets. The method utilizes a network-based system including a server system coupled to a centralized database and at least one client system. The method comprises of various steps from generating cash flow data table from variety of data sources to performing sensitivity analysis using Monte Carlo Simulation Model to provide different scenarios. The method utilizes a variety of assumptions in performing analysis, and exports cash flow projections into a pre-determined format to develop financially attractive bids, which have strong probability of, expected return on investment after taking into account a variety of foreseeable risks.

Abstract: A collections prioritization method and system for use in a financial services business is disclosed. The system is configured to generate a collection priority value from information stored on the system and queue the accounts for collection action based on the priority value and user entered filtering criteria. In one embodiment, the system is further configured to generate a report on the efficiency of collection by a collector.

Abstract: The Account Receivables System's Remittance Processing Module accepts funds in domestic and foreign currency and translates the funds into the required local currency for reporting purposes. The Remittance Processing Modules automatically generates and also performs exchange gain and loss calculations Auto Draft and Reverse Application functions. The Remittance Processing Module accepts funds electronically, and, under certain conditions, automatically applies and updates a customer's account in the most efficient manner.

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. Access to this information is available globally via the internet as well as locally.

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 values. Individual asset values are developed and listed in 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 method of valuation of large groups of assets by selecting a lowest variation assumption for asset valuation in order to limit risk includes the steps of evaluating assets by all known valuation methodologies which have merit for those particular assets, selecting the valuation methodology which is most accurate for the assets being evaluated and assigning values to the assets. Individual asset values are developed and listed in tables so that individual asset values can be taken from the tables and grouped in any desired manner. The asset s are divided into categories by credit variable and then rated individually.

Abstract: A method for operating a computer to enhance profitability of a portfolio using a profitability model includes prompting a user to enter at least one workload driver for the portfolio, prompting a user to enter a trigger level for each entered workload driver and allocating portfolio and underwriting expenses, based upon workload drivers and their trigger levels. In an exemplary embodiment the method is implemented using a server and a database to evaluate deal economics within portfolios based on workload requirements relative to market pricing levels. Workload drivers and trigger levels cause the model to be activity based rather than average cost based.