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Model Misspecification and the Hedging of Exotic Options

Asset pricing models are well established and have been used extensively by practitioners both for pricing options as well as for hedging them. Though Black-Scholes is the original and most commonly communicated asset pricing model, alternative asset pricing models which incorporate additional featu...

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Main Author: Balshaw, Lloyd Stanley
Other Authors: Ouwehand, Peter
Format: Thesis
Language:English
Published: Department of Finance and Tax 2018
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access_status_str Open Access
author Balshaw, Lloyd Stanley
author2 Ouwehand, Peter
author_browse Balshaw, Lloyd Stanley
Ouwehand, Peter
author_facet Ouwehand, Peter
Balshaw, Lloyd Stanley
author_sort Balshaw, Lloyd Stanley
collection Thesis
description Asset pricing models are well established and have been used extensively by practitioners both for pricing options as well as for hedging them. Though Black-Scholes is the original and most commonly communicated asset pricing model, alternative asset pricing models which incorporate additional features have since been developed. We present three asset pricing models here - the Black-Scholes model, the Heston model and the Merton (1976) model. For each asset pricing model we test the hedge effectiveness of delta hedging, minimum variance hedging and static hedging, where appropriate. The options hedged under the aforementioned techniques and asset pricing models are down-and-out call options, lookback options and cliquet options. The hedges are performed over three strikes, which represent At-the-money, Out-the-money and In-the-money options. Stock prices are simulated under the stochastic-volatility double jump diffusion (SVJJ) model, which incorporates stochastic volatility as well as jumps in the stock and volatility process. Simulation is performed under two ’Worlds’. World 1 is set under normal market conditions, whereas World 2 represents stressed market conditions. Calibrating each asset pricing model to observed option prices is performed via the use of a least squares optimisation routine. We find that there is not an asset pricing model which consistently provides a better hedge in World 1. In World 2, however, the Heston model marginally outperforms the Black-Scholes model overall. This can be explained through the higher volatility under World 2, which the Heston model can more accurately describe given the stochastic volatility component. Calibration difficulties are experienced with the Merton model. These difficulties lead to larger errors when minimum variance hedging and alternative calibration techniques should be considered for future users of the optimiser.
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institution University of Cape Town (South Africa)
language eng
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license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2018
publishDateRange 2018
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spelling oai:open.uct.ac.za:11427/28437 Model Misspecification and the Hedging of Exotic Options Balshaw, Lloyd Stanley Ouwehand, Peter Model Misspecification Black-Scholes model pricing model Heston model Merton (1976) model Asset pricing models are well established and have been used extensively by practitioners both for pricing options as well as for hedging them. Though Black-Scholes is the original and most commonly communicated asset pricing model, alternative asset pricing models which incorporate additional features have since been developed. We present three asset pricing models here - the Black-Scholes model, the Heston model and the Merton (1976) model. For each asset pricing model we test the hedge effectiveness of delta hedging, minimum variance hedging and static hedging, where appropriate. The options hedged under the aforementioned techniques and asset pricing models are down-and-out call options, lookback options and cliquet options. The hedges are performed over three strikes, which represent At-the-money, Out-the-money and In-the-money options. Stock prices are simulated under the stochastic-volatility double jump diffusion (SVJJ) model, which incorporates stochastic volatility as well as jumps in the stock and volatility process. Simulation is performed under two ’Worlds’. World 1 is set under normal market conditions, whereas World 2 represents stressed market conditions. Calibrating each asset pricing model to observed option prices is performed via the use of a least squares optimisation routine. We find that there is not an asset pricing model which consistently provides a better hedge in World 1. In World 2, however, the Heston model marginally outperforms the Black-Scholes model overall. This can be explained through the higher volatility under World 2, which the Heston model can more accurately describe given the stochastic volatility component. Calibration difficulties are experienced with the Merton model. These difficulties lead to larger errors when minimum variance hedging and alternative calibration techniques should be considered for future users of the optimiser. 2018-09-09T12:38:53Z 2018-09-09T12:38:53Z 2018 2018-08-30T07:14:47Z Master Thesis Masters MPhil http://hdl.handle.net/11427/28437 eng application/pdf Department of Finance and Tax Faculty of Commerce University of Cape Town
spellingShingle Model Misspecification
Black-Scholes model
pricing model
Heston model
Merton (1976) model
Balshaw, Lloyd Stanley
Model Misspecification and the Hedging of Exotic Options
thesis_degree_str Master's
title Model Misspecification and the Hedging of Exotic Options
title_full Model Misspecification and the Hedging of Exotic Options
title_fullStr Model Misspecification and the Hedging of Exotic Options
title_full_unstemmed Model Misspecification and the Hedging of Exotic Options
title_short Model Misspecification and the Hedging of Exotic Options
title_sort model misspecification and the hedging of exotic options
topic Model Misspecification
Black-Scholes model
pricing model
Heston model
Merton (1976) model
url http://hdl.handle.net/11427/28437
work_keys_str_mv AT balshawlloydstanley modelmisspecificationandthehedgingofexoticoptions