WTI crude oil option implied VaR and CVaR: An empirical application
Using option market data we derive naturally forward-looking, non-parametric and model-free risk estimates, three desired characteristics hardly obtainable using historical returns. The option-implied measures are only based on the first derivative of the option price with respect to the strike pric...
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sg-smu-ink.soe_research-32792021-05-19T09:08:59Z WTI crude oil option implied VaR and CVaR: An empirical application BARONE-ADESI, Giovanni FINTA, Marinela Adriana LEGNAZZI, Chiara SALA, Carlo Using option market data we derive naturally forward-looking, non-parametric and model-free risk estimates, three desired characteristics hardly obtainable using historical returns. The option-implied measures are only based on the first derivative of the option price with respect to the strike price, bypassing the difficult task of estimating the tail of the return distribution. We estimate and backtest the 1%, 2.5%, and 5% WTI crude oil futures option-implied value at risk and conditional value at risk for the turbulent years 2011–2016 and for both tails of the distribution. Compared with risk estimations based on the filtered historical simulation methodology, our results show that the option-implied risk metrics are valid alternatives to the statistically based historical models. 2019-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/2280 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3279&context=soe_research http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Backtest Elicitability Option prices VaR and CVaR Agribusiness Economics Finance and Financial Management |
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Backtest Elicitability Option prices VaR and CVaR Agribusiness Economics Finance and Financial Management BARONE-ADESI, Giovanni FINTA, Marinela Adriana LEGNAZZI, Chiara SALA, Carlo WTI crude oil option implied VaR and CVaR: An empirical application |
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Using option market data we derive naturally forward-looking, non-parametric and model-free risk estimates, three desired characteristics hardly obtainable using historical returns. The option-implied measures are only based on the first derivative of the option price with respect to the strike price, bypassing the difficult task of estimating the tail of the return distribution. We estimate and backtest the 1%, 2.5%, and 5% WTI crude oil futures option-implied value at risk and conditional value at risk for the turbulent years 2011–2016 and for both tails of the distribution. Compared with risk estimations based on the filtered historical simulation methodology, our results show that the option-implied risk metrics are valid alternatives to the statistically based historical models. |
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author |
BARONE-ADESI, Giovanni FINTA, Marinela Adriana LEGNAZZI, Chiara SALA, Carlo |
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BARONE-ADESI, Giovanni FINTA, Marinela Adriana LEGNAZZI, Chiara SALA, Carlo |
author_sort |
BARONE-ADESI, Giovanni |
title |
WTI crude oil option implied VaR and CVaR: An empirical application |
title_short |
WTI crude oil option implied VaR and CVaR: An empirical application |
title_full |
WTI crude oil option implied VaR and CVaR: An empirical application |
title_fullStr |
WTI crude oil option implied VaR and CVaR: An empirical application |
title_full_unstemmed |
WTI crude oil option implied VaR and CVaR: An empirical application |
title_sort |
wti crude oil option implied var and cvar: an empirical application |
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Institutional Knowledge at Singapore Management University |
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2019 |
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https://ink.library.smu.edu.sg/soe_research/2280 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3279&context=soe_research |
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