Document Type
Article
Journal/Book Title/Conference
Economics Research Institute Study Paper
Volume
22
Publisher
Utah State University Department of Economics
Publication Date
2000
Rights
Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact the Institutional Repository Librarian at digitalcommons@usu.edu.
First Page
1
Last Page
22
Abstract
We prove there exists and analyze a strategy that minimizes the cost of hedging a liability stream in infinite-horizon incomplete security markets with a type of constraints that feasible portfolio strategies form a convex cone. We provide a theorem that extends Stiemke Lemma to over cone domains and we use the result to construct a series of primal-dual problems. Applying stochastic duality theory, dynamic programming technique and the theory of convex analysis to the dual formulation, we decompose the infinite-horizon dynamic hedging problem into one-period static hedging problems such that optimal portfolios in different events can be solved for independently.
Recommended Citation
Huang, Kevin X.D., "On Infinite-Horizon Minimum-Cost Hedging Under Cone Constraints" (2000). Economic Research Institute Study Papers. Paper 198.
https://digitalcommons.usu.edu/eri/198