On the utility maximization of the discrepancy between a perceived and market implied risk neutral distribution
Document Type
Article
Publication Date
11-1-2022
Abstract
A method is developed to determine the portfolio that maximizes the expected utility of an agent that trades the difference between a perceived future price distribution of an asset and the associated market implied risk neutral density. Exact results to construct and price such a portfolio are presented under the assumption that the underlying asset price evolves according to a geometric Brownian motion. Integer programming optimization techniques are applied to the general case where one first calibrates the asset price risk neutral density directly from option market data using Gatheral's SVI parameterization. Several numerical examples approximating the optimal payoff function with liquid securities are given.
Identifier
85124968185 (Scopus)
Publication Title
European Journal of Operational Research
External Full Text Location
https://doi.org/10.1016/j.ejor.2022.01.048
ISSN
03772217
First Page
1215
Last Page
1229
Issue
3
Volume
302
Grant
21-19311S
Fund Ref
Grantová Agentura České Republiky
Recommended Citation
Navratil, Robert; Taylor, Stephen; and Vecer, Jan, "On the utility maximization of the discrepancy between a perceived and market implied risk neutral distribution" (2022). Faculty Publications. 2537.
https://digitalcommons.njit.edu/fac_pubs/2537