Representation of Homothetic Forward Performance Processes in Stochastic Factor Models Via Ergodic and Infinite Horizon BSDE

Gechun Liang, T. Zariphopoulou
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引用次数: 28

Abstract

In an incomplete market, with incompleteness stemming from stochastic factors imperfectly correlated with the underlying stocks, we derive representations of homothetic (power, exponential, and logarithmic) forward performance processes in factor-form using ergodic BSDE. We also develop a connection between the forward processes and infinite horizon BSDE, and, moreover, with risk-sensitive optimization. In addition, we develop a connection, for large time horizons, with a family of classical homothetic value function processes with random endowments.
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用遍历和无限视界BSDE表示随机因子模型中的同构正演过程
在不完全市场中,由于随机因素与标的股票不完全相关而导致不完全性,我们使用遍历BSDE以因子形式导出了同质(幂、指数和对数)正向表现过程的表示。我们还建立了正演过程与无限视界BSDE之间的联系,并且具有风险敏感优化。此外,我们开发了一个连接,在大的时间范围内,与一系列经典的具有随机禀赋的同构价值函数过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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