EconPapers    
Economics at your fingertips  
 

Images Tell Stories

Joshua Ronen, Tavy Ronen and Mi Zhou

Financial Analysts Journal, 2025, vol. 81, issue 2, 7-28

Abstract: Images can enhance the interpretation of textual material and improve decision-making. We describe recent research on how images affect decisions, generally mediated through two channels: affect and cognition. Image characteristics capturing expressiveness, such as colorfulness and sharpness, mainly engage emotions, whereas the degree to which image content either reinforces or adds to information embedded in accompanying text operates through the cognition channel. Image metrics are associated with higher crowdfunding investments, smaller analyst forecast errors and dispersion, and lower market risk. We discuss the role of generative AI in image generation and analysis and illustrate using text from GE’s 10-K filings.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0015198X.2025.2474041 (text/html)
Access to full text is restricted to subscribers.

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: https://EconPapers.repec.org/RePEc:taf:ufajxx:v:81:y:2025:i:2:p:7-28

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/ufaj20

DOI: 10.1080/0015198X.2025.2474041

Access Statistics for this article

Financial Analysts Journal is currently edited by Maryann Dupes

More articles in Financial Analysts Journal from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-06-03
Handle: RePEc:taf:ufajxx:v:81:y:2025:i:2:p:7-28