收益模糊的稳健消费-投资:风险模糊的双重方法

Kyunghyun Park, H. Y. Wong
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引用次数: 1

摘要

考虑一个对风险和模糊性厌恶的投资者的稳健消费投资问题,该投资者担心风险资产价格的回报模糊性。当投资者的目标是最大化其消费-投资目标的最坏情况时,我们提出了一种双重方法来解决具有风险模糊性的二元经济中的鲁棒优化问题。利用g -期望框架,建立了具有回报模糊的原始问题和具有风险模糊的对偶问题之间的对偶定理,从而表征了一类一般效用函数在非负消费率和财富约束下的鲁棒策略。当原始经济中包含多个风险资产且收益存在模糊性时,对偶问题中的风险模糊性导致相关性模糊。通过分析二元经济,我们表明稳健的投资策略倾向于稀疏的投资组合,除了其通常的特征-具有最小的模糊性风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Consumption-Investment With Return Ambiguity: A Dual Approach With Risk Ambiguity
Consider a robust consumption-investment problem for a risk- and ambiguity-averse investor who is concerned about return ambiguity in risky asset prices. When the investor aims to maximize the worst-case scenario of his/her consumption-investment objective, we propose a dual approach to the robust optimization problem in a dual economy with risk ambiguity. Using the G-expectation framework, we establish the duality theorem to bridge between the primal problem with return ambiguity and the dual problem with risk ambiguity, and hence characterize the robust strategy for a general class of utility functions subject to the non-negative consumption rate and wealth constraints. The risk ambiguity in the dual problem induces correlation ambiguity when the primal economy comprises multiple risky assets with return ambiguity. By analyzing the dual economy, we show that the robust investment strategy favors a sparse portfolio, in addition to its usual feature---having the least exposure to ambiguity risk.
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