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Option Portfolio Selection with Generalized Entropic Portfolio Optimization

In this third and final paper of our series on the topic of portfolio optimization, we introduce a further generalized portfolio selection method called generalized entropic portfolio optimization (GEPO). GEPO extends discrete entropic portfolio optimization (DEPO) to include intervals of continuous...

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Detalles Bibliográficos
Autores principales: Mercurio, Peter Joseph, Wu, Yuehua, Xie, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517377/
https://www.ncbi.nlm.nih.gov/pubmed/33286576
http://dx.doi.org/10.3390/e22080805
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author Mercurio, Peter Joseph
Wu, Yuehua
Xie, Hong
author_facet Mercurio, Peter Joseph
Wu, Yuehua
Xie, Hong
author_sort Mercurio, Peter Joseph
collection PubMed
description In this third and final paper of our series on the topic of portfolio optimization, we introduce a further generalized portfolio selection method called generalized entropic portfolio optimization (GEPO). GEPO extends discrete entropic portfolio optimization (DEPO) to include intervals of continuous returns, with direct application to a wide range of option strategies. This lays the groundwork for an adaptable optimization framework that can accommodate a wealth of option portfolios, including popular strategies such as covered calls, married puts, credit spreads, straddles, strangles, butterfly spreads, and even iron condors. These option strategies exhibit mixed returns: a combination of discrete and continuous returns with performance best measured by portfolio growth rate, making entropic portfolio optimization an ideal method for option portfolio selection. GEPO provides the mathematical tools to select efficient option portfolios based on their growth rate and relative entropy. We provide an example of GEPO applied to real market option portfolio selection and demonstrate how GEPO outperforms traditional Kelly criterion strategies.
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spelling pubmed-75173772020-11-09 Option Portfolio Selection with Generalized Entropic Portfolio Optimization Mercurio, Peter Joseph Wu, Yuehua Xie, Hong Entropy (Basel) Article In this third and final paper of our series on the topic of portfolio optimization, we introduce a further generalized portfolio selection method called generalized entropic portfolio optimization (GEPO). GEPO extends discrete entropic portfolio optimization (DEPO) to include intervals of continuous returns, with direct application to a wide range of option strategies. This lays the groundwork for an adaptable optimization framework that can accommodate a wealth of option portfolios, including popular strategies such as covered calls, married puts, credit spreads, straddles, strangles, butterfly spreads, and even iron condors. These option strategies exhibit mixed returns: a combination of discrete and continuous returns with performance best measured by portfolio growth rate, making entropic portfolio optimization an ideal method for option portfolio selection. GEPO provides the mathematical tools to select efficient option portfolios based on their growth rate and relative entropy. We provide an example of GEPO applied to real market option portfolio selection and demonstrate how GEPO outperforms traditional Kelly criterion strategies. MDPI 2020-07-22 /pmc/articles/PMC7517377/ /pubmed/33286576 http://dx.doi.org/10.3390/e22080805 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mercurio, Peter Joseph
Wu, Yuehua
Xie, Hong
Option Portfolio Selection with Generalized Entropic Portfolio Optimization
title Option Portfolio Selection with Generalized Entropic Portfolio Optimization
title_full Option Portfolio Selection with Generalized Entropic Portfolio Optimization
title_fullStr Option Portfolio Selection with Generalized Entropic Portfolio Optimization
title_full_unstemmed Option Portfolio Selection with Generalized Entropic Portfolio Optimization
title_short Option Portfolio Selection with Generalized Entropic Portfolio Optimization
title_sort option portfolio selection with generalized entropic portfolio optimization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517377/
https://www.ncbi.nlm.nih.gov/pubmed/33286576
http://dx.doi.org/10.3390/e22080805
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