The Study of TAIEX Options’ Volatility

碩士 === 國立屏東科技大學 === 財務金融研究所 === 95 === Abstract This research tries to find the suitable volatility estimators for TAIEX options. It mainly adopts the implied volatility model and the historical volatility model which includes extreme-value volatility estimators. The results of this research are as...

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Main Authors: Li YaHsin, 李亞欣
Other Authors: Pan Ging-Ginq
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/11310335048798569349
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spelling ndltd-TW-095NPUS53040062016-12-22T04:11:54Z http://ndltd.ncl.edu.tw/handle/11310335048798569349 The Study of TAIEX Options’ Volatility 台指選擇權波動度研究 Li YaHsin 李亞欣 碩士 國立屏東科技大學 財務金融研究所 95 Abstract This research tries to find the suitable volatility estimators for TAIEX options. It mainly adopts the implied volatility model and the historical volatility model which includes extreme-value volatility estimators. The results of this research are as following: 1. The volatility forecast: The performance of the historical volatility model is better than the implied volatility model, especially the extreme-value volatility estimator. The performance of the extreme-value estimator is better than the traditional closed-price estimator. The performance of implied volatility model is unideal in this part. 2. The option price forecast: The performance of the implied volatility is the best. Furthermore, the performance of the implied volatility, which is calculated by Black Model, is also better than the TEJ’s implied volatility. 3. In general, the purpose of forecasting volatility is to forecast the option price. But the result of this research shows that even if the investors can forecast future volatility exactly, they still can’t forecast the option price well. Pan Ging-Ginq 潘璟靜 2007 學位論文 ; thesis 58 zh-TW
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language zh-TW
format Others
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description 碩士 === 國立屏東科技大學 === 財務金融研究所 === 95 === Abstract This research tries to find the suitable volatility estimators for TAIEX options. It mainly adopts the implied volatility model and the historical volatility model which includes extreme-value volatility estimators. The results of this research are as following: 1. The volatility forecast: The performance of the historical volatility model is better than the implied volatility model, especially the extreme-value volatility estimator. The performance of the extreme-value estimator is better than the traditional closed-price estimator. The performance of implied volatility model is unideal in this part. 2. The option price forecast: The performance of the implied volatility is the best. Furthermore, the performance of the implied volatility, which is calculated by Black Model, is also better than the TEJ’s implied volatility. 3. In general, the purpose of forecasting volatility is to forecast the option price. But the result of this research shows that even if the investors can forecast future volatility exactly, they still can’t forecast the option price well.
author2 Pan Ging-Ginq
author_facet Pan Ging-Ginq
Li YaHsin
李亞欣
author Li YaHsin
李亞欣
spellingShingle Li YaHsin
李亞欣
The Study of TAIEX Options’ Volatility
author_sort Li YaHsin
title The Study of TAIEX Options’ Volatility
title_short The Study of TAIEX Options’ Volatility
title_full The Study of TAIEX Options’ Volatility
title_fullStr The Study of TAIEX Options’ Volatility
title_full_unstemmed The Study of TAIEX Options’ Volatility
title_sort study of taiex options’ volatility
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/11310335048798569349
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