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Inconsistency of the capital asset pricing model in a multi-currency environment

Al-Thani, Khalifa; Mignacca, Domenico; Fusai, Gianluca; Caccioli, Fabio; Germano, Guido; (2023) Inconsistency of the capital asset pricing model in a multi-currency environment. SSRN: Amsterdam, Netherlands. Green open access

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Abstract

The capital asset pricing model (CAPM) is a widely adopted model in asset pricing theory and portfolio construction because of its intuitive nature. One of its main conclusions is that there exists a global market portfolio that each rational investor should hold in proportion with the risk-free asset. In this paper we demonstrate theoretically and through an example that the CAPM cannot hold in a multi-currency environment. This is because it produces different market risk premia depending on the investor’s base currency unless each exchange rate is uncorrelated with the asset prices in the portfolio. This finding has significant implications, including questioning the starting point of the Black & Litterman (1992) model, which is widely used in asset allocation and assumes that the CAPM equilibrium provides a neutral starting point for estimating expected risk premia. However, this assumption may not hold in a multi-currency environment, potentially rendering the model less effective.

Type: Working / discussion paper
Title: Inconsistency of the capital asset pricing model in a multi-currency environment
Open access status: An open access version is available from UCL Discovery
DOI: 10.2139/ssrn.4464635
Publisher version: https://dx.doi.org/10.2139/ssrn.4464635
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: CAPM, Asset Pricing, Asset Allocation, Portfolio Construction
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10190369
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