Investor Sentiment,Time and Firm-Varying Risk Premiums and Stock Return: An Application of Nonlinear Four-Factor Model
碩士 === 中原大學 === 國際經營與貿易研究所 === 104 === This thesis rewrite the four-factor model, developed by Carhart(1997), as a panel smooth transition regression(PSTR) framework, and uses margin balance/ financing balance ratio as the transition variable in the framework, to evaluate the nonlinear path of stock...
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ndltd-TW-104CYCU53210242019-05-15T22:53:02Z http://ndltd.ncl.edu.tw/handle/dt5a94 Investor Sentiment,Time and Firm-Varying Risk Premiums and Stock Return: An Application of Nonlinear Four-Factor Model 投資者情緒、依時間與公司變動的風險溢酬與股價報酬-非線性四因子模型之應用 Chia-Hsien Li 李佳憲 碩士 中原大學 國際經營與貿易研究所 104 This thesis rewrite the four-factor model, developed by Carhart(1997), as a panel smooth transition regression(PSTR) framework, and uses margin balance/ financing balance ratio as the transition variable in the framework, to evaluate the nonlinear path of stock returns and four time-varying risk premiums. Sample period span from 2008:Q1 to 2015:Q2. Sample objects are 34 companies listed on FTSE TWSE Taiwan 50 Index. The empirical results can be summarized as follows: 1.Holding growth stocks can lead to higher returns than the value; holding small size stocks can lead to excess returns than big size. 2.In the PSTR model, four risk premiums vary with time and across stocks, depending margin balance/ financing balance ratio in different regimes, not constant obtained from the traditional three-factor model and four-factor model. 3.When the company stock’s margin balance/ financing balance ratio is at a high level, owned small size and growth stocks can lead to excess returns; when the ratio is at a medium level, owned value stocks and corporate ownership ratio isn’t high can lead to excess returns. Po-Chin Wu Shiao-Yen Liu 吳博欽 劉曉燕 2016 學位論文 ; thesis 55 zh-TW |
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碩士 === 中原大學 === 國際經營與貿易研究所 === 104 === This thesis rewrite the four-factor model, developed by Carhart(1997), as a panel smooth transition regression(PSTR) framework, and uses margin balance/ financing balance ratio as the transition variable in the framework, to evaluate the nonlinear path of stock returns and four time-varying risk premiums. Sample period span from 2008:Q1 to 2015:Q2. Sample objects are 34 companies listed on FTSE TWSE Taiwan 50 Index.
The empirical results can be summarized as follows:
1.Holding growth stocks can lead to higher returns than the value; holding small size stocks can lead to excess returns than big size.
2.In the PSTR model, four risk premiums vary with time and across stocks, depending margin balance/ financing balance ratio in different regimes, not constant obtained from the traditional three-factor model and four-factor model.
3.When the company stock’s margin balance/ financing balance ratio is at a high level, owned small size and growth stocks can lead to excess returns; when the ratio is at a medium level, owned value stocks and corporate ownership ratio isn’t high can lead to excess returns.
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Po-Chin Wu |
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Po-Chin Wu Chia-Hsien Li 李佳憲 |
author |
Chia-Hsien Li 李佳憲 |
spellingShingle |
Chia-Hsien Li 李佳憲 Investor Sentiment,Time and Firm-Varying Risk Premiums and Stock Return: An Application of Nonlinear Four-Factor Model |
author_sort |
Chia-Hsien Li |
title |
Investor Sentiment,Time and Firm-Varying Risk Premiums and Stock Return: An Application of Nonlinear Four-Factor Model |
title_short |
Investor Sentiment,Time and Firm-Varying Risk Premiums and Stock Return: An Application of Nonlinear Four-Factor Model |
title_full |
Investor Sentiment,Time and Firm-Varying Risk Premiums and Stock Return: An Application of Nonlinear Four-Factor Model |
title_fullStr |
Investor Sentiment,Time and Firm-Varying Risk Premiums and Stock Return: An Application of Nonlinear Four-Factor Model |
title_full_unstemmed |
Investor Sentiment,Time and Firm-Varying Risk Premiums and Stock Return: An Application of Nonlinear Four-Factor Model |
title_sort |
investor sentiment,time and firm-varying risk premiums and stock return: an application of nonlinear four-factor model |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/dt5a94 |
work_keys_str_mv |
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