Finfluencer recommendations
Vaibhav Lalwani
Economics Letters, 2025, vol. 255, issue C
Abstract:
Using a novel dataset of videos posted by prominent Financial YouTubers in India, we analyse the factors affecting Financial Influencers’ stock recommendations. Our findings reveal that finfluencers are more likely to positively recommend stocks with strong past performance and high trading volumes, valuations and intraday activity. Additionally, the number of recommendations made by finfluencers predicts future stock returns.
Keywords: Social media; YouTube; India; Finfluencers; Asset-pricing; Large language models (search for similar items in EconPapers)
JEL-codes: G11 G12 G40 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176525003489
Full text for ScienceDirect subscribers only
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:eee:ecolet:v:255:y:2025:i:c:s0165176525003489
DOI: 10.1016/j.econlet.2025.112511
Access Statistics for this article
Economics Letters is currently edited by Economics Letters Editorial Office
More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().