RFS Advance Access originally published online on December 9, 2007
Review of Financial Studies 2008 21(6):2535-2563; doi:10.1093/rfs/hhm056
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Jumps in Financial Markets: A New Nonparametric Test and Jump Dynamics
Georgia Institute of Technology
Department of Statistics, University of Chicago
Address correspondence to Suzanne S. Lee, Georgia Institute of Technology, College of Management, Atlanta, GA 30332; telephone: 404-822-1552; fax: 404-894-6030; e-mail: suzanne.lee{at}mgt.gatech.edu.
JEL Classification: G12, G22, G14
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This article introduces a new nonparametric test to detect jump arrival times and realized jump sizes in asset prices up to the intra-day level. We demonstrate that the likelihood of misclassification of jumps becomes negligible when we use high-frequency returns. Using our test, we examine jump dynamics and their distributions in the U.S. equity markets. The results show that individual stock jumps are associated with prescheduled earnings announcements and other company-specific news events. Additionally, S&P 500 Index jumps are associated with general market news announcements. This suggests different pricing models for individual equity options versus index options.
We thank Federico Bandi, George Constantinides, Pietro Veronesi, Ruey Tsay, Matthew Spiegel (the executive editor), and two anonymous referees for helpful suggestions and comments. Financial support for this research from the National Science Foundation (DMS-02-04639, DMS-06-04758, and SES-06-31605), Oscar Mayer Dissertation Fellowships, and the Financial Mathematics Program at the University of Chicago is gratefully acknowledged. Lee also thanks for their comments the participants of the 2006 North American Econometric Society Summer Meeting, the 2006 Far Eastern Meeting of Econometric Society, the International Workshop on Applied Probability, the 6th All-Georgia Finance Conference, and the Department Seminar of Industrial and System Engineering at Georgia Tech. Comments are welcome.
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