Economics at your fingertips  

Using comics to improve financial behaviour

Claire Harcourt-Cooke, Gideon Els and Eugene van Rensburg

Journal of Behavioral and Experimental Finance, 2022, vol. 33, issue C

Abstract: Key terms to complex financial products are generally poorly understood and this can lead to financial distress for consumers that can impact their long-term financial well-being. Comics represent a viable solution to simplifying the way in which these products are presented, thus improving the comprehension of these terms. This study serves as a proof of concept for the use of comics in the financial services industry within the context of a funeral policy. A mixed-method experimental approach was used to show that comics help with perception and usability of a complex text policy document, thereby leading to increased uptake of the insurance product. As such, policymakers and stakeholders should consider comics as a promising alternative for the presentation of the terms of their products.

Keywords: Quantitative Methods; Constant Relative Risk Aversion; Insurance; Behavioural​ economics; Behavioural finance; Comic visualisation; Experimental economics; Financial literacy; Visualisation (search for similar items in EconPapers)
JEL-codes: C25 C91 D11 G22 G41 G53 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

DOI: 10.1016/j.jbef.2021.100614

Access Statistics for this article

Journal of Behavioral and Experimental Finance is currently edited by Michael Dowling and Jürgen Huber

More articles in Journal of Behavioral and Experimental Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

Page updated 2022-07-09
Handle: RePEc:eee:beexfi:v:33:y:2022:i:c:s2214635021001581