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Enhancing utility and diversifying model risk in a portfolio optimization framework

机译:在投资组合优化框架中提高效用并分散模型风险

摘要

A portfolio optimization process that diversifies model risk by favoring a more diversified portfolio over other portfolios with similar characteristics is provided. According to one aspect of the present invention, a more diverse portfolio may be selected over an initial portfolio in order to diversify model risk with reference to a predetermined diversity budget, defined in terms of expected return, risk, and/or utility. An initial portfolio of financial products is determined from an available set of financial products. One or more dimensions of an error space are searched for an alternate portfolio that is more diverse than the initial portfolio. A cost associated with the alternate portfolio is then calculated by comparing the difference between a characteristic of the initial portfolio and a corresponding characteristic of the alternate portfolio. Finally, the alternate portfolio is selected as the recommended portfolio if the cost is less than or equal to the predetermined diversity budget. According to another aspect of the present invention an intelligent search is performed for a diverse portfolio that meets a predetermined diversity budget. An initial portfolio is determined based upon an available set of financial products. The cost associated with more diversified portfolios compared to the initial portfolio is considered and one of the more diversified portfolios is selected that has an associated cost that is less than or equal to the predetermined diversity budget.
机译:提供了一种投资组合优化过程,该过程通过偏爱更多样化的投资组合而不是具有类似特征的其他投资组合来分散模型风险。根据本发明的一个方面,可以参考初始投资组合选择更加多样化的投资组合,以便参考预定的多样性预算来使模型风险多样化,该预定的多样性预算是根据预期收益,风险和/或效用来定义的。金融产品的初始投资组合是从一组可用的金融产品中确定的。在错误空间的一个或多个维度中搜索比初始投资组合更多样化的替代投资组合。然后,通过比较初始投资组合的特征与替代投资组合的相应特征之间的差异来计算与替代投资组合相关的成本。最后,如果成本小于或等于预定的多样性预算,则将替代组合选择为推荐组合。根据本发明的另一方面,针对满足预定多样性预算的多样化投资组合执行智能搜索。初始投资组合是根据一组可用的金融产品确定的。与初始投资组合相比,考虑与更多样化的投资组合相关的成本,并选择关联成本小于或等于预定多样性预算的更加多样化的投资组合之一。

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