缩编约束下随机夏普比率的多资产组合优化

IF 2 0 ECONOMICS Annals of Financial Economics Pub Date : 2020-05-20 DOI:10.1142/s2010495220800019
Subhojit Biswas, Saif Jawaid, Diganta Mukherjee
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引用次数: 0

摘要

我们认为,投资者寻求最大化其投资组合的预期效用,该投资组合由多个风险资产和一个无风险资产组成,来源于相对于固定时间范围内实现的最大财富的最终财富。这是在具有局部随机波动性的市场中,在投资组合下拉约束下实现的。在实证应用中,考虑到两种风险资产,借助配对交易对资产进行了识别。在缺乏值函数的闭式解和最优策略的情况下,我们使用系数级数展开技术和有限差分格式来获得这些量的近似值。我们利用风险容忍因子函数来简化我们对该价值函数和策略的近似。所有参数都是从三元组中估计的,用于说明和比较随机波动性和恒定波动性情况,以及投资者如何部署不同的投资组合计划。
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MULTI-ASSET PORTFOLIO OPTIMIZATION WITH STOCHASTIC SHARPE RATIO UNDER DRAWDOWN CONSTRAINT
We consider an investor who seeks to maximize his expected utility of the portfolio, consisting of multiple risky assets and one risk-free asset, derived from the terminal wealth relative to the maximum wealth achieved over a fixed time horizon. This is achieved under a portfolio draw down constraint, in a market with local stochastic volatility. In empirical application, considering two risky assets, the assets have been identified with the help of pairs trading. In the absence of closed form solution of the value function and the optimal strategy, we obtain the approximates of these quantities using coefficient series expansion techniques and finite difference schemes. We utilize the risk tolerance factor function to ease our approximations of this value functions and the strategies. All the parameters were estimated from the triplets and used to illustrate and compare the stochastic volatility with the constant volatility situation, and how an investor can deploy different portfolio plans.
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CiteScore
6.60
自引率
55.00%
发文量
30
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