| 摘要 |
An apparatus, computer program product and system for using artificial intelligence based cognitive learning methods to measure, manage and report value, risk and return for a portfolio on a continual basis. The elements of value, external factors and segments of value of the portfolio are analyzed and modeled by item using predictive models that are developed by learning from the data associated with said portfolio. Scenarios of both normal and extreme situations are also developed. The scenarios are then used to drive simulations of the predictive models. The output from these simulations are then used to calculate risks and a risk adjusted value for the elements of value, the items within each element of value, the external factors and the items within each external factor. The optimal mix of changes to the portfolio at the item level are also identified and presented to the user.
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