台灣股票市場中個別公司報酬率風險和報酬的關係

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沈俞瑄(Yu-Hsuan Shen) 查詢紙本館藏

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論文名稱

台灣股票市場中個別公司報酬率風險和報酬的關係
(Idiosyncratic Risk and Returns in the Taiwanese Stock Market)

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摘要(中)

本文主要目的是在利用人們喜好正偏態報酬的特性，來探討Ang et al. (2006, 2008)提出的高風險卻有低報酬的迷思，是否存在於台灣的上市股票市場。但是經由本文解析，正偏態特性卻不存在於台灣股票市場，論證台灣無法利用正偏態特性來解釋高風險卻有低報酬的迷思。
方法上，首先使用個別公司股票報酬率偏態、變異數和其他公司特性來預測偏態。再以資本資產訂價模型，來檢視報酬率與個別公司股票之報酬率偏態、變異數和其他公司特性關連性，最後以這些實證結果來歸納風險及報酬關鏈性。
本文實證結果顯示，台股報酬與個別公司股票變異數有負向相關，故有所謂的高風險低報酬迷思，但是台股報酬與偏態呈現不顯著結果，故正偏態特性在台灣的股價市場並不存在。

摘要(英)

Ang et al. (2006, 2008) proposed that low expected average return with high idiosyncratic volatility appears in U.S. data and G7 countries. Hence, this pattern of the cross-sectional expected average return found by Ang et al. (2006, 2008) is what we call iv puzzle.
This paper aims to investigate whether Taiwanese Stock Market has iv puzzle or not and tries to use idiosyncratic skewness to explain iv puzzle phenomena. But, the results show that idiosyncratic skewness can’’t help explain iv puzzle in Taiwanese Stock Market.
This paper uses lagged idiosyncratic skewness, lagged idiosyncratic volatility, and other firm characteristics to predict expected idiosyncratic skewness. Next, expected idiosyncratic skewness and other firm characteristics are used to understand the asset-pricing implications and to investigate whether the historical idiosyncratic volatility and expected idiosyncratic skewness play important roles in asset pricing.
The empirical result indicates that idiosyncratic volatility is negative and strongly statistically significant. The expected idiosyncratic skewness has no significant relationship with expected return.

關鍵字(中)

★ 個別公司報酬率偏態
★ 別公司報酬率變異數
★ 風險與低報酬迷思

關鍵字(英)

★ Idiosyncratic skewness
★ Idiosyncratic volatility
★ iv puzzle.

論文目次

中文摘要...................i
Abstract...................ii
Acknowledgement............iii
Contents...................iv
List of Tables.............vi
List of Figures............vii
1 Introduction ....................................1
1.1 Motivation . . . . . . . . . . . . . . . . . . 1
1.2 Literature Reviews . . . . . . . . . . . . . . 2
1.2.1 Idiosyncratic Skewness . . . . . . . . . . . 2
1.2.2 Predicting Skewness . . . . . . . . .. . . . 4
1.2.3 Overview of the Paper . . . . . . . . . . . 5
2 Model............................................6
2.1 Obtaining the Idiosyncratic Component .........6
2.2 Predicting Expected Skewness...................7
3 Empirical results................................10
3.1 Data...........................................10
3.1.1 Sample Selection.............................10
3.1.2 Source of Data and Sample Period.............11
3.1.3 The Definition of Variables..................11
3.2 Summary Statistics.............................13
3.3 Expected Idiosyncratic Skewness Estimation ....18
3.4 Relationship between Expected Idiosyncratic Skewness and Expected Return . . . . . . . . . . . . . . . .21
3.4.1 Portfolios sorted on predicted skewness . . 21
3.4.2 Fama-MacBeth Regression . . . . . . . . . . .23
4 Conclusion.......................................26
References.........................................28

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指導教授

姚睿(Ruey Yau)

審核日期

2011-7-25

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