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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Main Authors: Lin Tse Chun, 林則君
Other Authors: 郭維裕
Format: Others
Language:en_US
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/82285244216690450264
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spelling 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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description 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.
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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