Measuring contextuality in investment preferences

Abstract

This study investigates the role of contextuality in investment preference formation, specifically in global investments and major US stocks. Utilizing the "Contextuality by Default" framework (Dzhafarov and Kujala in PLoS ONE 8:e61712, 2013; J Math Psychol 74:11–33, 2016), we measure contextuality within a cyclic system of random variables. Through two experiments, each with four context stimuli, we assess contextuality across various decision-making scenarios. Our results indicate the presence of "true" contextuality in global investment decisions, but not in US stock selections. We investigate the determinants of contextual preference formation, focusing on factors such as future return expectations, risk perception, and familiarity with stock markets and individual US stocks. Employing logistic regression analysis for the first two contexts, we find that preferences in foreign stock markets exhibit instability, indicating context-specific drivers. On the other hand, familiarity with individual companies and future return expectations consistently influence investment preferences in specific US stocks.

Publication DOI: https://doi.org/10.1007/s10479-025-06630-8
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences
College of Business and Social Sciences > Aston Business School > Accounting
Aston University (General)
Funding Information: The study is supported by the British Academy/Leverhulme Small Grant Scheme, 2019–2022, Grant reference: SRG19\190732.
Additional Information: Copyright © The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.
Publication ISSN: 1572-9338
Last Modified: 18 Mar 2026 08:08
Date Deposited: 17 Mar 2026 16:51
Full Text Link:
Related URLs: https://link.sp ... 479-025-06630-8 (Publisher URL)
PURE Output Type: Article
Published Date: 2025-05-26
Accepted Date: 2025-04-22
Authors: Khrennikova, Polina (ORCID Profile 0000-0002-0749-2437)

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