Scandinavian Working Papers in Economics
Working Papers,
Lund University, Department of Economics
No 2014:38: Predicting Stock Price Volatility by Analyzing Semantic Content in Media
Hossein Asgharian () and Sverker Sikström ()
Additional contact information
Hossein Asgharian: Department of Economics, Lund University, Postal: Department of Economics, School of Economics and Management, Lund University, Box 7082, S-220 07 Lund, Sweden
Sverker Sikström: Department of Psychology, Lund University, Postal: Department of Psychology, Lund University, Box 7082, S-22007 Lund, Sweden
Abstract: Current models for predicting volatility do not incorporate information flow and are solely based on historical volatilities. We suggest a method to quantify the semantic content of words in news articles about a company and use this as a predictor of its stock volatility. The results show that future stock volatility is better predicted by our method than the conventional models. We also analyze the functional role of text in media either as a passive documentation of past information flow or as an active source for new information influencing future volatility. Our data suggest that semantic content may take both roles.
Keywords: volatility; information flow; latent semantic analysis; GARCH
JEL-codes: G19
44 pages, November 20, 2014
Full text files
wp14_38.pdf
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