Logo Logo
Hilfe
Hilfe
Switch Language to English

Bernard, Carole; Junike, Gero ORCID logoORCID: https://orcid.org/0000-0001-8686-2661; Lux, Thibaut und Vanduffel, Steven (12. September 2024): Cost-efficient payoffs under model ambiguity. In: Finance and Stochastics, Bd. 28, Nr. 4: S. 965-997 [PDF, 1MB]

[thumbnail of s00780-024-00547-z.pdf]
Vorschau
Creative Commons: Namensnennung 4.0 (CC-BY)
Veröffentlichte Version

Abstract

Dybvig (1988a, 1988b) solves in a complete market setting the problem of finding a payoff that is cheapest possible in reaching a given target distribution (“cost-efficient payoff”). In the presence of ambiguity, the distribution of a payoff is, however, no longer known with certainty. We study the problem of finding the cheapest possible payoff whose worst-case distribution stochastically dominates a given target distribution (“robust cost-efficient payoff”) and determine solutions under certain conditions. We study the link between “robust cost-efficiency” and the maxmin expected utility setting of Gilboa and Schmeidler (1989), as well as more generally in a possibly nonexpected robust utility setting. Specifically, we show that solutions to maxmin robust expected utility are necessarily robust cost-efficient. We illustrate our study with examples involving uncertainty both on the drift and on the volatility of the risky asset.

Dokument bearbeiten Dokument bearbeiten