Optimal Leveraged Portfolio Selection Under Quasi-Elastic Market Impact

IF 0.7 4区 管理学 Q3 Engineering
Chanaka Edirisinghe, Jingnan Chen, Jaehwan Jeong
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引用次数: 0

Abstract

Dangers of Ignoring Market Friction When Leveraging Financial Portfolios Portfolio leveraging is a standard industry practice to target higher fund returns, for example, in risk parity asset allocation. However, the existing models of optimal bet sizing fail to integrate analytically the impact on leveraged portfolio selection resulting from market liquidity issues. The paper “Optimal Leveraged Portfolio Selection Under Quasi-Elastic Market Impact” considers a market in which both temporary and permanent impact on trading prices are present with the former impact being sufficiently large relative to the latter. Our analytical conclusions, supported by a case study that uses even relatively more liquid U.S. exchange-traded fund assets, demonstrate that fund managers are ill advised to ignore market friction when leveraging to achieve target higher returns. Not only risk-adjusted returns significantly deteriorate, but also those losses become steeper when setting higher targets requiring increased levels of leverage. Moreover, leverage-constrained and less risk-averse investors ignoring liquidity costs ex ante face the most losses in expected utility ex post.
准弹性市场冲击下的最优杠杆投资组合选择
投资组合杠杆化是一种标准的行业做法,目的是获得更高的基金回报,例如在风险平价资产配置中。然而,现有的最优投注规模模型未能解析地整合市场流动性问题对杠杆投资组合选择的影响。本文“准弹性市场冲击下的最优杠杆投资组合选择”考虑了对交易价格同时存在暂时性和永久性影响且前者影响相对于后者足够大的市场。我们的分析结论得到了一个案例研究的支持,该案例研究使用了流动性相对较高的美国交易所交易基金资产,结果表明,基金经理在利用杠杆实现更高回报目标时忽视市场摩擦是不明智的。不仅风险调整后的回报显著恶化,而且当设定更高的目标、要求提高杠杆水平时,这些损失也会变得更大。此外,杠杆约束和风险厌恶程度较低的投资者忽略了事前的流动性成本,在事后预期效用中面临的损失最大。
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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来源期刊
Military Operations Research
Military Operations Research 管理科学-运筹学与管理科学
CiteScore
1.00
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Military Operations Research is a peer-reviewed journal of high academic quality. The Journal publishes articles that describe operations research (OR) methodologies and theories used in key military and national security applications. Of particular interest are papers that present: Case studies showing innovative OR applications Apply OR to major policy issues Introduce interesting new problems areas Highlight education issues Document the history of military and national security OR.
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