The Impact of Stylized Facts of Asset Return and Counterparty Risk on Derivative Pricing

博士 === 國立政治大學 === 金融學系 === 104 === In the traditional models such as geometric Brownian motion model or the Merton jump diffusion model can’t fully depict the distributions of return for financial securities and the those return always have heavy tail and leptokurtic phenomena due to the price jump...

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Main Author: 陳俊洪
Other Authors: 廖四郎
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/87308184511718968929
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spelling ndltd-TW-104NCCU52140252017-11-12T04:38:47Z http://ndltd.ncl.edu.tw/handle/87308184511718968929 The Impact of Stylized Facts of Asset Return and Counterparty Risk on Derivative Pricing 資產報酬型態與交易對手風險對衍生性商品評價之影響 陳俊洪 博士 國立政治大學 金融學系 104 In the traditional models such as geometric Brownian motion model or the Merton jump diffusion model can’t fully depict the distributions of return for financial securities and the those return always have heavy tail and leptokurtic phenomena due to the price jump or volatilities of return changing over time. Hence, the first article uses two time-changed Lévy models: (1) normal inverse Gaussian model and (2) variance gamma model to capture the dynamics of asset for pricing American option. In order to deal with the early-exercised problem of the American option, we use the LSM to determine the optimal striking point until maturity. In the empirical analyses, we can find the VG model have better performance than the other three models in some cases. In addition, with the comparison the pricing performance under different liquidity and moneyness conditions, we also find in some samples increasing the liquidity really can reduce the pricing errors, at the same time, the maximum pricing errors appears in the OTM samples in all cases. The global subprime crisis during 2008 and 2009 arouses much more attention of the counterparty risk and the number of default varies with economic condition. Hence, we investigate the counterparty risk impact on the price of the catastrophe equity put with a Markov-modulated default intensity model in the second study. At the same time, we also extend the stochastic interest rate setting in Jaimungal and Wang (2006) and relax some restrictive assumption of Black-Scholes model by taking the regime-switching effects of the economic status, then use the Markov-modulated processes to model the dynamics of the underlying asset and interest rate. In the numerical analyses, we illustrate the impact of the recovery rate, time to maturity, jump intensity of the equity and default intensity of counterparty on the CatEPut price. 廖四郎 2016 學位論文 ; thesis 61 en_US
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language en_US
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description 博士 === 國立政治大學 === 金融學系 === 104 === In the traditional models such as geometric Brownian motion model or the Merton jump diffusion model can’t fully depict the distributions of return for financial securities and the those return always have heavy tail and leptokurtic phenomena due to the price jump or volatilities of return changing over time. Hence, the first article uses two time-changed Lévy models: (1) normal inverse Gaussian model and (2) variance gamma model to capture the dynamics of asset for pricing American option. In order to deal with the early-exercised problem of the American option, we use the LSM to determine the optimal striking point until maturity. In the empirical analyses, we can find the VG model have better performance than the other three models in some cases. In addition, with the comparison the pricing performance under different liquidity and moneyness conditions, we also find in some samples increasing the liquidity really can reduce the pricing errors, at the same time, the maximum pricing errors appears in the OTM samples in all cases. The global subprime crisis during 2008 and 2009 arouses much more attention of the counterparty risk and the number of default varies with economic condition. Hence, we investigate the counterparty risk impact on the price of the catastrophe equity put with a Markov-modulated default intensity model in the second study. At the same time, we also extend the stochastic interest rate setting in Jaimungal and Wang (2006) and relax some restrictive assumption of Black-Scholes model by taking the regime-switching effects of the economic status, then use the Markov-modulated processes to model the dynamics of the underlying asset and interest rate. In the numerical analyses, we illustrate the impact of the recovery rate, time to maturity, jump intensity of the equity and default intensity of counterparty on the CatEPut price.
author2 廖四郎
author_facet 廖四郎
陳俊洪
author 陳俊洪
spellingShingle 陳俊洪
The Impact of Stylized Facts of Asset Return and Counterparty Risk on Derivative Pricing
author_sort 陳俊洪
title The Impact of Stylized Facts of Asset Return and Counterparty Risk on Derivative Pricing
title_short The Impact of Stylized Facts of Asset Return and Counterparty Risk on Derivative Pricing
title_full The Impact of Stylized Facts of Asset Return and Counterparty Risk on Derivative Pricing
title_fullStr The Impact of Stylized Facts of Asset Return and Counterparty Risk on Derivative Pricing
title_full_unstemmed The Impact of Stylized Facts of Asset Return and Counterparty Risk on Derivative Pricing
title_sort impact of stylized facts of asset return and counterparty risk on derivative pricing
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/87308184511718968929
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