City Research Online

Abstract

This paper proposes a GARCH-jump mixed model for individual stock returns that takes into account four types of risks: the systematic and idiosyncratic jumps and the systematic and idiosyncratic diffusive volatility. By considering a general pricing kernel with all underlying risk factors, we decompose the expected stock return into four risk premiums related to the four types of risks. Empirically, we estimate the model jointly for daily stock returns and market returns and investigate the asset pricing consequences. We find that idiosyncratic jump intensity contributes a major part of the total jump intensity and idiosyncratic jumps are key determinants of expected stock return.

Publication Type:	Article
Additional Information:	© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher Keywords:	Jump–diffusion model, GARCH filtering, Asset pricing
Subjects:	H Social Sciences > HG Finance
Departments:	Bayes Business School > Finance

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