Self-exciting jumps, learning, and asset pricing implications

The paper proposes a self-exciting asset pricing model that takes into account co-jumps between prices and volatility and self-exciting jump clustering. We employ a Bayesian learning approach to implement real-time sequential analysis. We find evidence of self-exciting jump clustering since the 1987...

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Main Authors: FULOP, Andras, LI, Junye, YU, Jun
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2015
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在線閱讀:https://ink.library.smu.edu.sg/soe_research/2356
https://ink.library.smu.edu.sg/context/soe_research/article/3355/viewcontent/Self_exciting_jumps_2015_av.pdf
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