Time-varying jump risk premia in stock index futures returns

This study tests the presence of time‐varying risk premia associated with extreme news events or jumps in stock index futures return. The model allows for a dynamic jump component with autoregressive jump intensity, long‐range dependence in volatility dynamics, and a volatility in mean structure sep...

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Bibliographic Details
Published in:The journal of futures markets Vol. 32; no. 7; pp. 639 - 659
Main Authors: Chan, Wing Hong, Feng, Liling
Format: Journal Article
Language:English
Published: Hoboken Blackwell Publishing Ltd 01-07-2012
Wiley Periodicals Inc
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Summary:This study tests the presence of time‐varying risk premia associated with extreme news events or jumps in stock index futures return. The model allows for a dynamic jump component with autoregressive jump intensity, long‐range dependence in volatility dynamics, and a volatility in mean structure separately for the normal and extreme news events. The results show significant jump risk premia in four stock market index futures returns including the DAX, FTSE, Nikkei, and S&P500 indices. Our results are robust to various specifications of conditional variance including the plain GARCH, component GARCH, and Fractionally Integrated GARCH models. We also find the time‐varying risk premium associated with normal news events is not significant across all indices. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark 32:639–659, 2012
Bibliography:istex:5DD52F098273DE3247311E9941C24CA4EB9E36C2
ark:/67375/WNG-CM15PKBM-P
ArticleID:FUT20540
The authors are indebted to the editor and an anonymous referee for their useful comments and suggestions.
ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0270-7314
1096-9934
DOI:10.1002/fut.20540