Domain specific predictive model for entity assessment and valuation
Abstract:
Systems and methods are disclosed for domain specific predictive model for entity assessment and valuation. In one implementation, evaluation criteria are identified. Historical data is collected with respect to one or more entities. Based on the one or more evaluation criteria and the historical data, one or more scores are reverse engineered with respect to the one or more entities. Linear regression analysis is performed on the one or more scores to build a predictive model. Analyze a new entity using the same scoring system with pre-prescribed parameters. Using the predictive model, a valuation of an entity is computed. One or more aspects of the computed valuation are presented within an interactive interface using a sensitivity analysis approach.
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