Global Currency Hedging with Ambiguity

54 Pages Posted: 31 Aug 2020 Last revised: 18 Sep 2023

See all articles by Urban Ulrych

Urban Ulrych

École Polytechnique Fédérale de Lausanne (EPFL); University of Zurich - Department of Banking and Finance; Swiss Finance Institute

Nikola Vasiljevic

University of Zurich, Department of Banking and Finance

Date Written: August 28, 2020

Abstract

This paper addresses the problem of optimal currency allocation for a risk-and-ambiguity-averse international investor. A robust mean-variance model with smooth ambiguity preferences is used to derive the optimal currency exposure in closed form. In the theoretical part of the paper, we characterize the sample-efficient currency hedging demand as the solution to a generalized ridge regression. Through the lens of these results, we show that the investor's dislike for model uncertainty induces stronger currency hedging demand. The empirical analysis demonstrates how ambiguity leads to a larger estimation bias and simultaneously narrows the confidence interval of the sample efficient optimal currency exposure. The out-of-sample backtest illustrates that accounting for ambiguity enhances the stability of optimal currency allocation over time and significantly reduces portfolio volatility net of transaction costs.

Keywords: Ambiguity Aversion, Currency Hedging, Ridge Regression, International Asset Allocation.

JEL Classification: D81, D83, F31, G11, G15

Suggested Citation

Ulrych, Urban and Vasiljevic, Nikola, Global Currency Hedging with Ambiguity (August 28, 2020). Swiss Finance Institute Research Paper No. 20-73, Available at SSRN: https://ssrn.com/abstract=3683821 or http://dx.doi.org/10.2139/ssrn.3683821

Urban Ulrych (Contact Author)

École Polytechnique Fédérale de Lausanne (EPFL) ( email )

Switzerland

University of Zurich - Department of Banking and Finance ( email )

Plattenstr 32
Zurich, 8032
Switzerland

Swiss Finance Institute ( email )

c/o University of Geneva
40, Bd du Pont-d'Arve
CH-1211 Geneva 4
Switzerland

Nikola Vasiljevic

University of Zurich, Department of Banking and Finance ( email )

Plattenstrasse 14
Zurich, CH-8032
Switzerland

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