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: 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: 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: 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.