Word Power: A New Approach for Content Analysis
50 Pages Posted: 18 Mar 2011 Last revised: 15 Jul 2013
Date Written: July 1, 2013
Abstract
We present a new approach for content analysis to quantify document tone. We find a significant relation between our measure of the tone of 10-Ks and market reaction for both negative and positive words. We also find that the appropriate choice of term weighting in content analysis is at least as important as, and perhaps more important than, a complete and accurate compilation of the word list. Furthermore, we show that our approach circumvents the need to subjectively partition words into positive and negative word lists. Our approach reliably quantifies the tone of IPO prospectuses as well, and we find that the document score is negatively related to IPO underpricing.
Keywords: Content analysis, 10-Ks, Filing date, term-weighting
JEL Classification: G10, G14
Suggested Citation: Suggested Citation
Do you have negative results from your research you’d like to share?
Recommended Papers
-
Giving Content to Investor Sentiment: The Role of Media in the Stock Market
-
More than Words: Quantifying Language to Measure Firms' Fundamentals
By Paul C. Tetlock, Maytal Saar-tsechansky, ...
-
Is All that Talk Just Noise? The Information Content of Internet Stock Message Boards
By Murray Z. Frank and Werner Antweiler
-
Media Coverage and the Cross-Section of Stock Returns
By Lily H. Fang and Joel Peress
-
When is a Liability not a Liability? Textual Analysis, Dictionaries, and 10-Ks
By Tim Loughran and Bill Mcdonald
-
Do Stock Market Investors Understand the Risk Sentiment of Corporate Annual Reports?
By Feng Li
-
Yahoo! For Amazon: Sentiment Parsing from Small Talk on the Web
By Sanjiv Ranjan Das and Mike Y. Chen
-
By Zhi Da, Joseph Engelberg, ...
-
By Joshua D. Coval and Tyler Shumway
-
The Impact of Credibility on the Pricing of Managerial Textual Content
By Elizabeth Demers and Clara Vega