Economics Research Institute Study Paper
Utah State University Department of Economics
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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.
Huang, Kevin X.D., "On Infinite-Horizon Minimum-Cost Hedging Under Cone Constraints" (2000). Economic Research Institute Study Papers. Paper 198.