DocumentCode
3300761
Title
Discrete-time optimal hedging for multi-asset path-dependent European contingent claims
Author
Kumar, M. Uday ; Chellaboina, VijaySekhar ; Bhat, Sanjay ; Prasad, Sandeep ; Bhatia, Anil
Author_Institution
Adv. Technol. Center, Tata Consultancy Services, Hyderabad, India
fYear
2009
fDate
15-18 Dec. 2009
Firstpage
3679
Lastpage
3684
Abstract
In this paper, we consider the problem of discrete-time optimal hedging for a European contingent claim (ECC) written on multiple assets where the underlying assets are assumed to follow a vector Ito differential equation. Specifically, since the underlying asset is assumed to be a continuous-time process all discrete-time hedging strategies are non-replicable and lead to hedging errors. First, we present a framework for finding hedging strategies that minimize the variance of hedging errors due to discrete-time hedging. The general framework is valid for all ECCs whose underlying assets are martingales and the minimum variance hedging strategies are in terms of conditional covariance matrices. Next, we specialize the conditional covariance matrix formulas to the case of geometric Brownian motion. These results extend the existing formula for single asset European call and put options to simple and path-dependent ECCs written on multiple assets.
Keywords
covariance matrices; discrete time systems; finance; optimal systems; European call; conditional covariance matrices; continuous time process; differential equation; discrete time optimal hedging; geometric Brownian motion; hedging errors; minimum variance hedging; multi-asset path dependent European contingent claims; put options; Closed-form solution; Contracts; Covariance matrix; Differential equations; Indium tin oxide; Optimal control; Portfolios; Pricing; Solid modeling; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location
Shanghai
ISSN
0191-2216
Print_ISBN
978-1-4244-3871-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2009.5399932
Filename
5399932
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