Artikel

An assessment of the association between political orientation and financial risk tolerance

The purpose of this paper is to present findings from research that was undertaken to answer the following questions. First, to what extent is political orientation associated with financial risk tolerance, and second, to what degree is political orientation predictive of changes in risk tolerance across periods? Using panel collected before and after the 2020 U.S. presidential election, it was determined that the strength of affiliation with the Republican and Democratic Parties was descriptive of cross-sectional financial risk tolerance. Republicans were found to exhibit greater risk tolerance compared with Democrats. Across periods, the risk tolerance of Republicans was less stable, whereas the financial risk tolerance of Democrats was more stable. A significant decrease in risk tolerance was observed for those affiliating as a Republican pre-election to post-election. When political orientation was measured on a scale, the decrease in risk tolerance across periods for Republicans was significant. The risk tolerance of those affiliating as a Democrat increased across the periods but at a lower rate than in the drop in scores among Republicans. When viewed across the variables of interest in this study, political orientation was found to be an important descriptor of FRT.

Language
Englisch

Bibliographic citation
Journal: Journal of Risk and Financial Management ; ISSN: 1911-8074 ; Volume: 15 ; Year: 2022 ; Issue: 5 ; Pages: 1-16

Classification
Management
Subject
financial risk tolerance
political affiliation
political orientation

Event
Geistige Schöpfung
(who)
Grable, John E.
Warmath, Dee
Kwak, Eun Jin
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2022

DOI
doi:10.3390/jrfm15050199
Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Grable, John E.
  • Warmath, Dee
  • Kwak, Eun Jin
  • MDPI

Time of origin

  • 2022

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