Value-at-Risk of Option under GARCH Model

碩士 === 東吳大學 === 商用數學系 === 91 === In 1973, Black and Scholes developed the famous Black-Scholes option pricing model to price the options related derivatives. The assumption of constant volatility in Black-Scholes model has been shown inconsistent with the market behavior in most empirical studies. I...

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Main Authors: Hsueh-Chen Lee, 李雪真
Other Authors: Yi-Ping Chang
Format: Others
Language:zh-TW
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/56398909199872081414
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spelling ndltd-TW-091SCU003140062015-10-13T13:35:29Z http://ndltd.ncl.edu.tw/handle/56398909199872081414 Value-at-Risk of Option under GARCH Model GARCH模型下之選擇權風險值計算 Hsueh-Chen Lee 李雪真 碩士 東吳大學 商用數學系 91 In 1973, Black and Scholes developed the famous Black-Scholes option pricing model to price the options related derivatives. The assumption of constant volatility in Black-Scholes model has been shown inconsistent with the market behavior in most empirical studies. In this paper, we release the constant volatility assumption by using the DGARCH pricing model developed by Duan (1995). In Dec. 24, 2001, Taiwan Futures Exchange issued its first stock option on the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) and the market volume has grown rapidly since then. Up to now, most of the Value-at-Risk estimation models have focus on the evaluations for linear securities like stock or foreign exchange exposures. The Study of VaR for non-linear claims like options is more complicate due to the non-linearity in value function. To estimate the VaR of daily call option, in this paper, we develop an option VaR estimation algorithm which can be accompanied with various pricing models. The purpose of this paper is to evaluate the option VaR estimation performances of various Black-Scholes and DGARCH pricing models for options traded in Taiwan. In general, our empirical findings indicate that DGARCH models (with or without variance reduction methods) perform better than the Black-Scholes models. Also, the option VaR estimations work more stable for calls with a longer time to maturity and for at or in the money calls. Yi-Ping Chang Ming-Chin Hung 張揖平 洪明欽 2003 學位論文 ; thesis 49 zh-TW
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description 碩士 === 東吳大學 === 商用數學系 === 91 === In 1973, Black and Scholes developed the famous Black-Scholes option pricing model to price the options related derivatives. The assumption of constant volatility in Black-Scholes model has been shown inconsistent with the market behavior in most empirical studies. In this paper, we release the constant volatility assumption by using the DGARCH pricing model developed by Duan (1995). In Dec. 24, 2001, Taiwan Futures Exchange issued its first stock option on the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) and the market volume has grown rapidly since then. Up to now, most of the Value-at-Risk estimation models have focus on the evaluations for linear securities like stock or foreign exchange exposures. The Study of VaR for non-linear claims like options is more complicate due to the non-linearity in value function. To estimate the VaR of daily call option, in this paper, we develop an option VaR estimation algorithm which can be accompanied with various pricing models. The purpose of this paper is to evaluate the option VaR estimation performances of various Black-Scholes and DGARCH pricing models for options traded in Taiwan. In general, our empirical findings indicate that DGARCH models (with or without variance reduction methods) perform better than the Black-Scholes models. Also, the option VaR estimations work more stable for calls with a longer time to maturity and for at or in the money calls.
author2 Yi-Ping Chang
author_facet Yi-Ping Chang
Hsueh-Chen Lee
李雪真
author Hsueh-Chen Lee
李雪真
spellingShingle Hsueh-Chen Lee
李雪真
Value-at-Risk of Option under GARCH Model
author_sort Hsueh-Chen Lee
title Value-at-Risk of Option under GARCH Model
title_short Value-at-Risk of Option under GARCH Model
title_full Value-at-Risk of Option under GARCH Model
title_fullStr Value-at-Risk of Option under GARCH Model
title_full_unstemmed Value-at-Risk of Option under GARCH Model
title_sort value-at-risk of option under garch model
publishDate 2003
url http://ndltd.ncl.edu.tw/handle/56398909199872081414
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AT lǐxuězhēn garchmóxíngxiàzhīxuǎnzéquánfēngxiǎnzhíjìsuàn
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