Do Stock Prices and Volatility Jump? Reconciling Evidence from Spot and Option Prices
This paper examines the empirical performance of jump diffusion models of stock price dynamics from joint options and stock markets data. The paper introduces a model with discontinuous correlated jumps in stock prices and stock price volatility, and with state-dependent arrival intensity. We discuss how to perform likelihood-based inference based upon joint options/returns data and present estimates of risk premiums for jump and volatility risks. The paper finds that while complex jump specifications add little explanatory power in fitting options data, these models fare better in fitting options and returns data simultaneously. Copyright 2004 by The American Finance Association.
Year of publication: |
2004
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Authors: | Eraker, Bjørn |
Published in: |
Journal of Finance. - American Finance Association - AFA, ISSN 1540-6261. - Vol. 59.2004, 3, p. 1367-1404
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Publisher: |
American Finance Association - AFA |
Saved in:
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