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Worst-Case Portfolio Optimization under Stochastic Interest Rate Risk

机译:随机利率风险下的最坏情况投资组合优化

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摘要

We investigate a portfolio optimization problem under the threat of a market crash, where the interest rate of the bond is modeled as a Vasicek process, which is correlated with the stock price process. We adopt a non-probabilistic worst-case approach for the height and time of the market crash. On a given time horizon [ 0 , T ] , we then maximize the investor’s expected utility of terminal wealth in the worst-case crash scenario. Our main result is an explicit characterization of the worst-case optimal portfolio strategy for the class of HARA (hyperbolic absolute risk aversion) utility functions.
机译:我们研究在市场崩溃的威胁下的投资组合优化问题,其中债券的利率被建模为Vasicek过程,该过程与股票价格过程相关。对于市场崩溃的高度和时间,我们采用非概率的最坏情况方法。然后,在给定的时间范围[0,T]上,在最坏的崩溃情况下,我们将最大化投资者对终端财富的预期效用。我们的主要结果是明确描述了针对HARA(双曲线绝对风险规避)效用函数类的最坏情况下的最优投资组合策略。

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