Model-independent upper bounds for the prices of Bermudan options with convex payoffs
Abstract
Suppose μ and ν are probability measures on R satisfying μ≤cx ν. Let a and b be convex functions on R with a ≥ b ≥ 0. We are interested in finding M τ EM [ a(X) I \ τ= 1 \ + b(Y) I \ τ= 2 \ ] where the first supremum is taken over consistent models M (i.e., filtered probability spaces (Ω, F, F, P) such that Z=(z,Z1,Z2)=(∫R x μ(dx) = ∫R y ν(dy), X, Y) is a (F,P) martingale, where X has law μ and Y has law ν under P) and τ in the second supremum is a (F,P)-stopping time taking values in \1,2\. Our contributions are first to characterise and simplify the dual problem, and second to completely solve the problem under some structural assumptions on the measures μ and ν (namely that μ and ν are absolutely continuous probability measures that satisfy the Dispersion Assumption). A key finding is that the canonical set-up in which the filtration is that generated by Z is not rich enough to define an optimal model and additional randomisation is required. This holds even though the marginal laws μ and ν are atom-free. The problem has an interpretation of finding the robust, or model-free, no-arbitrage bound on the price of a Bermudan option with two possible exercise dates, given the prices of co-maturing European options.
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