The Use of Word Lists in Textual Analysis
University of Notre Dame
University of Notre Dame - Mendoza College of Business - Department of Finance
November 29, 2014
Forthcoming in the Journal of Behavioral Finance
A commonly-used platform to assess the tone of business documents in the extant accounting and finance literature is Diction. We argue that Diction is inappropriate for gauging the tone of financial disclosures. About 83% of the Diction optimistic words and 70% of the Diction pessimistic words appearing in a large 10-K sample are likely misclassified. Frequently occurring Diction optimistic words like respect, security, power, and authority will not be considered positive by readers of business documents. Similarly, over 45% of the Diction pessimistic 10-K word-counts are not and no. The Loughran-McDonald (2011) dictionary appears better at capturing tone in business text than Diction.
Number of Pages in PDF File: 33
Keywords: Diction; word lists; sentiment analysis; Form 10-Ks; textual analysis
JEL Classification: C18, G14, M41Accepted Paper Series
Date posted: July 17, 2014 ; Last revised: November 29, 2014
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