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Revisiting the risk-return relation in the Chinese stock market

Decomposition of risk premium and volatility feedback effect

Bibliographic Data

ID12917856
AuthorsHao Liu (0000-0002-4971-7315, Peking University), Shihan Shen (0000-0002-1241-6682, Peking University), Tianyi Wang (0000-0002-0776-9387, University of International Business and Economics), Zhuo Huang (0000-0002-3336-5706, Peking University, corresponding author)
Year2016
Volume9
Issue2
Pages140-153
Publication date2016-04-04
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueChina Economic Journal (JOURNAL)
Journal identifiersISSN: 1753-8963 • E-ISSN: 1753-8971
PublisherRoutledge (PUBLISHER • GB)
DOI10.1080/17538963.2016.1163813
OpenAlexW2346943086
LanguageEN
References cited36

The empirical results of the risk-return relationship are mixed for both mature and merging markets. In this paper, we develop a new volatility model to revisit the risk-return relation of the aggregate stock market index by extending the Realized GARCH model of Hansen et al. (2012) with the Wang and Yang (2013) framework, in which the overall risk-return relation is decomposed into a risk premium and a volatility feedback effect. An empirical analysis of three major Chinese stock indices reveals positive risk premium and negative volatility feedback effect, and those findings are stable across different markets and sub-samples. However, their relative magnitudes differ between markets and varies through time

Econometrics · Economics · Financial economics · Market risk · Risk premium · Stock (firearms · Stock market · Volatility (finance · Volatility risk premium · Volatility smile · Financial Markets and Investment Strategies · Financial Risk and Volatility Modeling · Market Dynamics and Volatility

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