Estimation and Comparison for Stock Index Volatility with Various Dynamic Volatility Models
碩士 === 國立高雄第一科技大學 === 財務管理所 === 98 === By using S&P 500, NASDAQ and DJIA stock index, in this paper we examine the relationships among realized return, realized range and implied volatility, finding that the realized range and implied volatility are possessed of excellent explanation power towar...
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ndltd-TW-098NKIT53050402016-04-20T04:17:30Z http://ndltd.ncl.edu.tw/handle/23303657722225821469 Estimation and Comparison for Stock Index Volatility with Various Dynamic Volatility Models 不同動態波動性模型在股價指數的估計與比較 Kuan-Yi Wu 吳冠億 碩士 國立高雄第一科技大學 財務管理所 98 By using S&P 500, NASDAQ and DJIA stock index, in this paper we examine the relationships among realized return, realized range and implied volatility, finding that the realized range and implied volatility are possessed of excellent explanation power toward the realized return, and thereby can be presented as proxy variables for volatilities. On the other hand, in comparison with the empirical performance on the CARR model and GARCH model. Whatever in-of-sample or out-of-sample volatility forecast, we found that the result from CARR model is better than from GARCH model, which means that range has a better ability than return to present the descriptions of volatilities. Finally, we find that leverage effect and implied volatility can actually increase the explanation power of volatility in short time. Chun-Chou Wu 巫春洲 2010 學位論文 ; thesis 58 zh-TW |
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碩士 === 國立高雄第一科技大學 === 財務管理所 === 98 === By using S&P 500, NASDAQ and DJIA stock index, in this paper we examine the relationships among realized return, realized range and implied volatility, finding that the realized range and implied volatility are possessed of excellent explanation power toward the realized return, and thereby can be presented as proxy variables for volatilities. On the other hand, in comparison with the empirical performance on the CARR model and GARCH model. Whatever in-of-sample or out-of-sample volatility forecast, we found that the result from CARR model is better than from GARCH model, which means that range has a better ability than return to present the descriptions of volatilities. Finally, we find that leverage effect and implied volatility can actually increase the explanation power of volatility in short time.
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Chun-Chou Wu |
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Chun-Chou Wu Kuan-Yi Wu 吳冠億 |
author |
Kuan-Yi Wu 吳冠億 |
spellingShingle |
Kuan-Yi Wu 吳冠億 Estimation and Comparison for Stock Index Volatility with Various Dynamic Volatility Models |
author_sort |
Kuan-Yi Wu |
title |
Estimation and Comparison for Stock Index Volatility with Various Dynamic Volatility Models |
title_short |
Estimation and Comparison for Stock Index Volatility with Various Dynamic Volatility Models |
title_full |
Estimation and Comparison for Stock Index Volatility with Various Dynamic Volatility Models |
title_fullStr |
Estimation and Comparison for Stock Index Volatility with Various Dynamic Volatility Models |
title_full_unstemmed |
Estimation and Comparison for Stock Index Volatility with Various Dynamic Volatility Models |
title_sort |
estimation and comparison for stock index volatility with various dynamic volatility models |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/23303657722225821469 |
work_keys_str_mv |
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