We propose a behavioural approach to sustainable finance, which integrates the ethical con- cerns of the investor in the asset allocation process. The proposed model adopts an s-shaped value function, similar to the likes of the prospect theory, but incorporating specific sustain- ability constraints, allowing the investor to decide to what degree their portfolios should be sustainable. We introduce a measure of statistical deviation from the chosen sustainability benchmarks and consequently introduce the notion of tolerance to sustainability deviation, much like the usual risk tolerance. The model is tested against a real-world asset allocation problem and optimised by means of evolutionary algorithms.

Fasano, A. (2024). Toward a Sustainable Portfolio Theory: Introducing Sustainability Concerns in a Behavioural Framework. In Advances in Behavioral Finance & Economics 2023. Los Angeles : Academy of Behavioral Finance & Economics.

Toward a Sustainable Portfolio Theory: Introducing Sustainability Concerns in a Behavioural Framework

Antonio Fasano
2024-01-01

Abstract

We propose a behavioural approach to sustainable finance, which integrates the ethical con- cerns of the investor in the asset allocation process. The proposed model adopts an s-shaped value function, similar to the likes of the prospect theory, but incorporating specific sustain- ability constraints, allowing the investor to decide to what degree their portfolios should be sustainable. We introduce a measure of statistical deviation from the chosen sustainability benchmarks and consequently introduce the notion of tolerance to sustainability deviation, much like the usual risk tolerance. The model is tested against a real-world asset allocation problem and optimised by means of evolutionary algorithms.
2024
978-1-965384-83-1
Fasano, A. (2024). Toward a Sustainable Portfolio Theory: Introducing Sustainability Concerns in a Behavioural Framework. In Advances in Behavioral Finance & Economics 2023. Los Angeles : Academy of Behavioral Finance & Economics.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1281175
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