缩编约束下随机夏普比率的多资产组合优化

IF 2 0 ECONOMICS
Subhojit Biswas, Saif Jawaid, Diganta Mukherjee
{"title":"缩编约束下随机夏普比率的多资产组合优化","authors":"Subhojit Biswas, Saif Jawaid, Diganta Mukherjee","doi":"10.1142/s2010495220800019","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":43570,"journal":{"name":"Annals of Financial Economics","volume":"15 1","pages":"1-33"},"PeriodicalIF":2.0000,"publicationDate":"2020-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1142/s2010495220800019","citationCount":"0","resultStr":"{\"title\":\"MULTI-ASSET PORTFOLIO OPTIMIZATION WITH STOCHASTIC SHARPE RATIO UNDER DRAWDOWN CONSTRAINT\",\"authors\":\"Subhojit Biswas, Saif Jawaid, Diganta Mukherjee\",\"doi\":\"10.1142/s2010495220800019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":43570,\"journal\":{\"name\":\"Annals of Financial Economics\",\"volume\":\"15 1\",\"pages\":\"1-33\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2020-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1142/s2010495220800019\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Financial Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/s2010495220800019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Financial Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s2010495220800019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ECONOMICS","Score":null,"Total":0}
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.60
自引率
55.00%
发文量
30
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信