Option Pricing with Mixed Levy Subordinated Price Process and Implied Probability Weighting Function

Abootaleb Shirvani, Yuan Hu, Svetlozar T. Rachev and Frank J. Fabozzi

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Abstract: It is essential to incorporate the impact of investor behavior when modeling the dynamics of asset returns. In this paper, we reconcile behavioral finance and rational finance by incorporating investor behavior within the framework of dynamic asset pricing theory. To include the views of investors, we employ the method of subordination which has been proposed in the literature by including business (intrinsic, market) time. We define a mixed Levy subordinated model by adding a single subordinated Levy process to the well-known log-normal model, resulting in a new log-price process. We apply the proposed models to study the behavioral finance notion of "greed and fear" disposition from the perspective of rational dynamic asset pricing theory. The greedy or fearful disposition of option traders is studied using the shape of the probability weighting function. We then derive the implied probability weighting function for the fear and greed deposition of option traders in comparison to spot traders. Our result shows the diminishing sensitivity of option traders. Diminishing sensitivity results in option traders overweighting the probability of big losses in comparison to spot traders.

Date: 2019-10, Revised 2020-04
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Citations: View citations in EconPapers (5)

Published in The Journal of Derivatives Winter 2020, jod.2020.1.102;

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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1910.05902

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