Textual sentiment in finance: A survey of methods and models

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Title: Textual sentiment in finance: A survey of methods and models
Authors: Kearney, Colm
Liu, Sha
Permanent link: http://hdl.handle.net/10197/8213
Date: May-2014
Abstract: 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.
Type of material: Journal Article
Publisher: Elsevier
Copyright (published version): 2014 Elsevier
Keywords: Behavioral financeTextual sentimentInternet messagesNewsMarket efficiency
DOI: 10.1016/j.irfa.2014.02.006
Language: en
Status of Item: Peer reviewed
Appears in Collections:Business Research Collection
UCD RePEc Archive Collection

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