Risk minimisation using options and risky assets

We consider mean-risk portfolio optimisation models, with risk measured by symmetric measures (variance) as well as downside or tail measures (lower partial moments, conditional value at risk). A framework for including index options in the universe of assets, in addition to stocks, is provided. The...

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Published in:Operational Research
Main Author: Maasar M.A.; Roman D.; Date P.
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083795494&doi=10.1007%2fs12351-020-00559-5&partnerID=40&md5=24b14e0fedab4dc0b8004977a38326da
id 2-s2.0-85083795494
spelling 2-s2.0-85083795494
Maasar M.A.; Roman D.; Date P.
Risk minimisation using options and risky assets
2022
Operational Research
22
1
10.1007/s12351-020-00559-5
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083795494&doi=10.1007%2fs12351-020-00559-5&partnerID=40&md5=24b14e0fedab4dc0b8004977a38326da
We consider mean-risk portfolio optimisation models, with risk measured by symmetric measures (variance) as well as downside or tail measures (lower partial moments, conditional value at risk). A framework for including index options in the universe of assets, in addition to stocks, is provided. The exercise of index options is settled in cash, making this implementable with a variety of strike prices and maturities. We use a dataset with stocks from FTSE 100 and index options on FTSE100. Numerical results show that, for low risk-low return and to medium risk-medium return portfolios, the addition of an index put further reduces the risk to a considerable extent, particularly in the case of mean-CVaR efficient portfolios, where the left tail of the portfolio return distribution is dramatically improved. For high risk-high return portfolios, the inclusion of an index call improves the right tail of the return distribution, creating thus the opportunity for considerably higher returns. © 2020, The Author(s).
Springer Science and Business Media Deutschland GmbH
11092858
English
Article
All Open Access; Hybrid Gold Open Access
author Maasar M.A.; Roman D.; Date P.
spellingShingle Maasar M.A.; Roman D.; Date P.
Risk minimisation using options and risky assets
author_facet Maasar M.A.; Roman D.; Date P.
author_sort Maasar M.A.; Roman D.; Date P.
title Risk minimisation using options and risky assets
title_short Risk minimisation using options and risky assets
title_full Risk minimisation using options and risky assets
title_fullStr Risk minimisation using options and risky assets
title_full_unstemmed Risk minimisation using options and risky assets
title_sort Risk minimisation using options and risky assets
publishDate 2022
container_title Operational Research
container_volume 22
container_issue 1
doi_str_mv 10.1007/s12351-020-00559-5
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083795494&doi=10.1007%2fs12351-020-00559-5&partnerID=40&md5=24b14e0fedab4dc0b8004977a38326da
description We consider mean-risk portfolio optimisation models, with risk measured by symmetric measures (variance) as well as downside or tail measures (lower partial moments, conditional value at risk). A framework for including index options in the universe of assets, in addition to stocks, is provided. The exercise of index options is settled in cash, making this implementable with a variety of strike prices and maturities. We use a dataset with stocks from FTSE 100 and index options on FTSE100. Numerical results show that, for low risk-low return and to medium risk-medium return portfolios, the addition of an index put further reduces the risk to a considerable extent, particularly in the case of mean-CVaR efficient portfolios, where the left tail of the portfolio return distribution is dramatically improved. For high risk-high return portfolios, the inclusion of an index call improves the right tail of the return distribution, creating thus the opportunity for considerably higher returns. © 2020, The Author(s).
publisher Springer Science and Business Media Deutschland GmbH
issn 11092858
language English
format Article
accesstype All Open Access; Hybrid Gold Open Access
record_format scopus
collection Scopus
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