Document Type
Article
Journal/Book Title/Conference
Economics Research Institute Study Paper
Volume
22
Publisher
Utah State University Department of Economics
Publication Date
2000
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.
http://digitalcommons.usu.edu/eri/198