Dynamic conic hedging for competitiveness
File(s)CVMH11.pdf (1.12 MB)
Accepted version
Author(s)
Madan, DB
Pistorius, M
Schoutens, W
Type
Journal Article
Abstract
The paper provides a new hedging methodology permitting systematic hedging choices with wide applications. Dynamic concave bid price, and convex ask price functionals from the recent literature are employed to construct new hedging strategies termed dynamic conic hedging. The primary focus of these strategies is to adopt positions maximizing a nonlinear conditional expectation expressed recursively as a concave current bid price for the one step ahead risk held or minimizing the convex current ask price for the risk promised. Risk management and hedging then have a new market value enhancing perspective different from the classical forms of risk mitigation, local variance minimization, or even expected utility maximization.
Date Issued
2016-03-10
Date Acceptance
2016-02-27
Citation
Mathematics and Financial Economics, 2016, 10 (4), pp.405-439
ISSN
1862-9679
Publisher
Springer Verlag
Start Page
405
End Page
439
Journal / Book Title
Mathematics and Financial Economics
Volume
10
Issue
4
Copyright Statement
© Springer-Verlag 2016. The final publication is available at Springer via http://dx.doi.org/10.1007/s11579-016-0164-x
Subjects
Social Sciences
Science & Technology
Physical Sciences
Business, Finance
Economics
Mathematics, Interdisciplinary Applications
Social Sciences, Mathematical Methods
Business & Economics
Mathematics
Mathematical Methods In Social Sciences
Static and semi static hedging
Nonlinear expectation
Variance gamma model
Distorted expectation
CONVEX RISK MEASURES
INCOMPLETE MARKETS
PORTFOLIO SELECTION
TRANSACTION COSTS
STATE VARIABLES
CONTINUOUS-TIME
DISCRETE-TIME
VALUATION
ARBITRAGE
OPTIONS
Mathematical Sciences
Publication Status
Published