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题名Capital Asset Pricing Model and Stochastic Volatility: A Case Study of India
作者
发表日期2016-01-02
发表期刊Emerging Markets Finance and Trade
ISSN/eISSN1540-496X
卷号52期号:1页码:52-65
摘要

The existing literature demonstrates that under a general equilibrium model, the performance of the Capital Asset Pricing Model (CAPM) can be improved significantly by using conditional consumption and market return volatilities as factors. This article tests the validity of these factors explaining stock return differences using a less developed country (India) as a case study. While the earlier studies used panel data to test CAPM, we use portfolios sorted by size and book-to-market equity (BE/ME) ratio. We found that conditional volatility has a limited effect on firms with large capitalization but a significant impact on small-growth and small-value firms.

关键词asset pricing model equity premium puzzle stochastic volatility
DOI10.1080/1540496X.2015.1062302
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收录类别SSCI
语种英语English
WOS研究方向Business & Economics ; International Relations
WOS类目Business & Economics ; International Relations
WOS记录号WOS:000366421200005
Scopus入藏号2-s2.0-84939214144
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/6420
专题北师香港浸会大学
通讯作者Demir,Ender
作者单位
1.Faculty of Tourism,Istanbul Medeniyet University,Istanbul,D-100 Highway sideway,34700,Turkey
2.Division of Business and Management,Beijing Normal University,Hong Kong Baptist University,United International College,Zhuhai,China
3.Department of Economics and Business,City College of New York,New York,United States
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GB/T 7714
Demir,Ender,Fung,Ka Wai Terence,Lu,Zhou. Capital Asset Pricing Model and Stochastic Volatility: A Case Study of India[J]. Emerging Markets Finance and Trade, 2016, 52(1): 52-65.
APA Demir,Ender, Fung,Ka Wai Terence, & Lu,Zhou. (2016). Capital Asset Pricing Model and Stochastic Volatility: A Case Study of India. Emerging Markets Finance and Trade, 52(1), 52-65.
MLA Demir,Ender,et al."Capital Asset Pricing Model and Stochastic Volatility: A Case Study of India". Emerging Markets Finance and Trade 52.1(2016): 52-65.
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