Return
Detecting jumps from Levy jump diffusion processes
DOI:10.1016/j.jfineco.2009.12.009.png)
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
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12
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3.8K
Citations:
5.5W

