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Detecting jumps from Levy jump diffusion processes

delete2010-05-01
delete101
PRE
AI
S
Suzanne S. Lee *
J
Jan Hannig
DOI:10.1016/j.jfineco.2009.12.009delete
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Abstract

Abstract

En 中文
Recent asset-pricing models incorporate jump risk through Levy processes in addition to diffusive risk. This paper studies how to detect stochastic arrivals of small and big Levy jumps with new nonparametric tests. The tests allow for robust analysis of their separate characteristics and facilitate better estimation of return dynamics. Empirical evidence of both small and big jumps based on these tests suggests that models for individual equities and overall market indices require incorporating Levy-type jumps. The evidence of small jumps also helps explain why jumps in the market index are uncorrelated with jumps in its component equities. (C) 2009 Elsevier B.V. All rights reserved.
Keywords:
Levy jumps
Nonparametric tests
Belief measure
False detection
High-frequency data

Journal

Journal of Financial Economics cover
Journal of Financial Economics
IF:
12
Papers:
3.8K
Citations:
5.5W

Organization

G
Georgia Institute of Technology
Scholars:
1.8W
Papers: 1.4W
Citations: 5.9W
U
university system of georgia
Scholars:
7.3W
Papers: 6.5W
Citations: 101