The Partial Adaptive Estimation of CAPM with Censorship in an Emerging Market
碩士 === 國立政治大學 === 國際貿易學系 === 90 === The daily data of stock returns in Taiwan stock market suffer from thin trading, price limits and non-normality that either cause specific estimation problems due to the daily characteristic or violate the assumption of traditional CAPM. These violation...
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ndltd-TW-090NCCU03230312016-06-27T16:09:30Z http://ndltd.ncl.edu.tw/handle/82285244216690450264 The Partial Adaptive Estimation of CAPM with Censorship in an Emerging Market 台灣股市貝它值之研究 Lin Tse Chun 林則君 碩士 國立政治大學 國際貿易學系 90 The daily data of stock returns in Taiwan stock market suffer from thin trading, price limits and non-normality that either cause specific estimation problems due to the daily characteristic or violate the assumption of traditional CAPM. These violations of the traditional market model could cause serious biases in estimation of beta. This paper takes use of the Aggregate Model, Partial Adaptive Model, and Two-limit Logit Model to tackle the problems resulting from the violations. The empirical results are consistent with previous literatures, and indicating that the partial adaptive estimator with censorship has the highest likelihood value. Meanwhile, the result also reveals that size and liquidity do play important roles in affecting the behaviors of stock returns in different ways. 郭維裕 2002 學位論文 ; thesis 35 en_US |
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碩士 === 國立政治大學 === 國際貿易學系 === 90 === The daily data of stock returns in Taiwan stock market suffer from thin trading, price limits and non-normality that either cause specific estimation problems due to the daily characteristic or violate the assumption of traditional CAPM. These violations of the traditional market model could cause serious biases in estimation of beta. This paper takes use of the Aggregate Model, Partial Adaptive Model, and Two-limit Logit Model to tackle the problems resulting from the violations. The empirical results are consistent with previous literatures, and indicating that the partial adaptive estimator with censorship has the highest likelihood value. Meanwhile, the result also reveals that size and liquidity do play important roles in affecting the behaviors of stock returns in different ways.
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author2 |
郭維裕 |
author_facet |
郭維裕 Lin Tse Chun 林則君 |
author |
Lin Tse Chun 林則君 |
spellingShingle |
Lin Tse Chun 林則君 The Partial Adaptive Estimation of CAPM with Censorship in an Emerging Market |
author_sort |
Lin Tse Chun |
title |
The Partial Adaptive Estimation of CAPM with Censorship in an Emerging Market |
title_short |
The Partial Adaptive Estimation of CAPM with Censorship in an Emerging Market |
title_full |
The Partial Adaptive Estimation of CAPM with Censorship in an Emerging Market |
title_fullStr |
The Partial Adaptive Estimation of CAPM with Censorship in an Emerging Market |
title_full_unstemmed |
The Partial Adaptive Estimation of CAPM with Censorship in an Emerging Market |
title_sort |
partial adaptive estimation of capm with censorship in an emerging market |
publishDate |
2002 |
url |
http://ndltd.ncl.edu.tw/handle/82285244216690450264 |
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