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Title: Portfolio optimisation using risky assets with options as derivative insurance
Authors: Maasar, MA
Roman, D
Date, P
Keywords: Portfolio optimisation;Portfolio insurance;Option pricing;Mean-CVaR
Issue Date: 2016
Publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Citation: OpenAccess Series in Informatics, 50: pp. 9.1 - 9.17, (2016)
Abstract: We introduce options on FTSE100 index in portfolio optimisation with shares in which conditional value at risk (CVaR) is minimised. The option considered here is the one that follows FTSE100 Index Option standards. Price of options are calculated under the risk neutral valuation. The efficient portfolio composed under this addition of options shows that put option will be selected as part of the investment for every level of targeted returns. Main finding shows that the use of options does indeed decrease downside risk, and leads to better in-sample portfolio performance. Out-of-sample and back-testing also shows better performance of CVaR efficient portfolios in which index options are included. All models are coded using AMPL and the results are analysed using Microsoft Excel. Data used in this study are obtained from Datastream. We conclude that adding a put index option in addition to stocks, in order to actively create a portfolio, can substantially reduce the risk at a relatively low cost. Further research work will consider the case when short positions are considered, including writing call options.
ISBN: 9783959770040
ISSN: 2190-6807
Appears in Collections:Dept of Mathematics Research Papers

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