Textual Sentiment in Finance: A Survey of Methods and Models
46 Pages Posted: 9 Feb 2013 Last revised: 5 Apr 2016
Date Written: April 27, 2013
We survey the textual sentiment literature, comparing and contrasting the various information sources, content analysis methods, and empirical models that have been used to date. We summarize the important and influential findings about how textual sentiment impacts on individual, firm-level and market-level behavior and performance, and vice versa. We point to what is agreed and what remains controversial. Promising directions for future research are emerging from the availability of more accurate and efficient sentiment measures resulting from increasingly sophisticated textual content analysis coupled with more extensive field-specific dictionaries. This is enabling more wide-ranging studies that use increasingly sophisticated models to help us better understand behavioral finance patterns across individuals, institutions and markets.
Keywords: Behavioral finance, textual sentiment, internet messages, news, market efficiency
JEL Classification: D80, D82, G02, G10, G12, G14, G30, G34, G38, M41
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