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 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: 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 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 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 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 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.