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Robust portfolio optimization for banking foundations: a CVaR approach for asset allocation with mandatory constraints

This paper focuses on an innovative asset allocation strategy for risk averse investors who operate on very long-time horizons, such as endowments and the Italian foundations of banking origin (FBOs). FBOs play a pivotal role in supporting economic, financial and sustainable growth in the long term....

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Autores principales: Arcuri, Maria Cristina, Gandolfi, Gino, Laurini, Fabrizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614752/
https://www.ncbi.nlm.nih.gov/pubmed/36320641
http://dx.doi.org/10.1007/s10100-022-00821-5
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author Arcuri, Maria Cristina
Gandolfi, Gino
Laurini, Fabrizio
author_facet Arcuri, Maria Cristina
Gandolfi, Gino
Laurini, Fabrizio
author_sort Arcuri, Maria Cristina
collection PubMed
description This paper focuses on an innovative asset allocation strategy for risk averse investors who operate on very long-time horizons, such as endowments and the Italian foundations of banking origin (FBOs). FBOs play a pivotal role in supporting economic, financial and sustainable growth in the long term. In the search for a model which optimizes FBO portfolio choices in the light of regulatory constraints on their sizeable investable portfolio, we highlight the risk-adjusted performances obtained using a robust conditional VaR (R-CVaR) approach—assuming different risk profiles—which corrects some of the Markowitz approach pitfalls and accounts for tail risk. We compare the two models using a buy and hold strategy: the R-CVaR delivers better returns than a Markowitz portfolio, even when those performances are measured with a mean–variance metric.
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spelling pubmed-96147522022-10-28 Robust portfolio optimization for banking foundations: a CVaR approach for asset allocation with mandatory constraints Arcuri, Maria Cristina Gandolfi, Gino Laurini, Fabrizio Cent Eur J Oper Res Original Paper This paper focuses on an innovative asset allocation strategy for risk averse investors who operate on very long-time horizons, such as endowments and the Italian foundations of banking origin (FBOs). FBOs play a pivotal role in supporting economic, financial and sustainable growth in the long term. In the search for a model which optimizes FBO portfolio choices in the light of regulatory constraints on their sizeable investable portfolio, we highlight the risk-adjusted performances obtained using a robust conditional VaR (R-CVaR) approach—assuming different risk profiles—which corrects some of the Markowitz approach pitfalls and accounts for tail risk. We compare the two models using a buy and hold strategy: the R-CVaR delivers better returns than a Markowitz portfolio, even when those performances are measured with a mean–variance metric. Springer Berlin Heidelberg 2022-10-28 2023 /pmc/articles/PMC9614752/ /pubmed/36320641 http://dx.doi.org/10.1007/s10100-022-00821-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Arcuri, Maria Cristina
Gandolfi, Gino
Laurini, Fabrizio
Robust portfolio optimization for banking foundations: a CVaR approach for asset allocation with mandatory constraints
title Robust portfolio optimization for banking foundations: a CVaR approach for asset allocation with mandatory constraints
title_full Robust portfolio optimization for banking foundations: a CVaR approach for asset allocation with mandatory constraints
title_fullStr Robust portfolio optimization for banking foundations: a CVaR approach for asset allocation with mandatory constraints
title_full_unstemmed Robust portfolio optimization for banking foundations: a CVaR approach for asset allocation with mandatory constraints
title_short Robust portfolio optimization for banking foundations: a CVaR approach for asset allocation with mandatory constraints
title_sort robust portfolio optimization for banking foundations: a cvar approach for asset allocation with mandatory constraints
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614752/
https://www.ncbi.nlm.nih.gov/pubmed/36320641
http://dx.doi.org/10.1007/s10100-022-00821-5
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