EconPapers    
Economics at your fingertips  
 

User-Generated Content and Stock Performance: Does Online Chatter Matter?

Tellis Gerard J. and Tirunillai Seshadri ()
Additional contact information
Tellis Gerard J.: Neely Chair of American Enterprise, Director of the Center for Global Innovation, and Professor of Marketing, Management and Organization at the USC Marshall School of Business, www.gtellis.net
Tirunillai Seshadri: Assistant Professor, C.T. Bauer College of Business at the University of Houston

NIM Marketing Intelligence Review, 2013, vol. 5, issue 2, 13-17

Abstract: Online chatter can strongly affect companies by boosting or slowing down sales of commented products, and user generated content even affects stock prices. An analysis of almost 350,000 consumer reviews and product ratings for 15 brands on popular websites showed some interesting effects: Having a higher volume of user comments, regardless of their assessment, was a strong indication of an increase in stock prices. The researchers also found negative reviews had a stronger impact than positive reviews. According to the results, negative chatter could erode about $1.4 million from the average market capitalization over the short term and $3.3 million over the 15 days after it appeared. To better estimate the dollar value of the findings, the researchers calculated possible profits for an initial investment of $100 million. They either sold or bought stock on a daily basis depending on the prevailing valence of the chatter from the previous day. The overall gains using this strategy yielded an average annual profit of $7.9 million over the four years in the sample. With this result, the researchers beat the Standard & Poor’s 500 index by 8 % by buying stock on positive chatter and short-selling it after negative chatter.

Keywords: User-Generated Content; Online Word of Mouth; Stock Returns; Online Chatter (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/gfkmir-2014-0012 (text/html)

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:vrs:gfkmir:v:5:y:2013:i:2:p:13-17:n:3

DOI: 10.2478/gfkmir-2014-0012

Access Statistics for this article

NIM Marketing Intelligence Review is currently edited by Christine Kittinger-Rosanelli

More articles in NIM Marketing Intelligence Review from Sciendo
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-20
Handle: RePEc:vrs:gfkmir:v:5:y:2013:i:2:p:13-17:n:3