Investigating the impact of media sentiment and investor attention on financial markets

Lecture Notes in Business Information Processing

Volumn 135 LNBIP, Issue , 2013, Pages 3-19

  Siering, Michael ^a  

^a GOETHE UNIVERSITY   (Germany)

Author keywords

Behavioral Finance; Investor Attention; Media Sentiment

Indexed keywords

COMMERCE; FINANCIAL DATA PROCESSING; FORECASTING; INDUSTRY;

BEHAVIORAL FINANCE; FINANCIAL MARKET; FORECASTING ACCURACY; FORECASTING MODELS; INVESTOR ATTENTION; MEDIA SENTIMENT; STOCK RETURNS;

INVESTMENTS;

EID: 84872723164     PISSN: 18651348     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-36219-4_1     Document Type: Conference Paper

References (45)

1. Antweiler, W., Frank, M.Z.: Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards. Journal of Finance 59, 1259-1294 (2004)
2. Tetlock, P.C., Saar-Tsechansky, M., Macskassy, S.: More Than Words: Quantifying Language to Measure Firms' Fundamentals. Journal of Finance 63, 1437-1467 (2008)
3. Dellavigna, S., Pollet, J.M.: Investor Inattention and Friday Earnings Announcements. Journal of Finance 64, 709-749 (2009)
4. Cohen, L., Frazzini, A.: Economic Links and Predictable Returns. Journal of Finance 63, 1977-2011 (2008)
5. Hirshleifer, D., Lim, S.S., Teoh, S.H.: Driven to Distraction: Extraneous Events and Underreaction to Earnings News. Journal of Finance 64, 2289-2325 (2009)
6. Tetlock, P.C.: Giving Content to Investor Sentiment: The Role of Media in the Stock Market. Journal of Finance 62, 1139-1168 (2007)
7. Muntermann, J., Guettler, A.: Intraday stock price effects of ad hoc disclosures: the German case. Journal of International Financial Markets, Institutions and Money 17, 1-24 (2007)
8. Bollen, J., Huina, M.: Twitter Mood as a Stock Market Predictor. Computers and Operations Research 44, 91-94 (2011)
9. Shleifer, A., Summers, L.H.: The Noise Trader Approach to Finance. Journal of Economic Perspectives 4, 19-33 (1990)
10. Black, F.: Noise. Journal of Finance 41, 529-543 (1986)
11. Shleifer, A.: Inefficient markets. An introduction to behavioral finance. Oxford Univ. Press, Oxford (2000)
12. de Bondt, W.F.M.: A portrait of the individual investor. European Economic Review 42, 831-844 (1998)
13. Brown, G.W., Cliff, M.T.: Investor sentiment and the near-term stock market. Journal of Empirical Finance 11, 1-27 (2004)
14. Shiller, R.J.: Stock Prices and Social Dynamics. Brookings Papers on Economic Activity 1984, 457-510 (1984)
15. Loughran, T., McDonald, B.: When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10-Ks. Journal of Finance 66, 35-65 (2011)
16. Das, S.R., Chen, M.Y.: Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web. Management Science 53, 1375-1388 (2007)
17. Bollen, J., Mao, H., Zeng, X.-J.: Twitter mood predicts the stock market. Journal of Computational Science 2, 1-8 (2011)
18. Lou, D.: Attracting investor attention through advertising. Discussion Paper 644. Financial Markets Group, London School of Economics and Political Science, London (2009)
19. Barber, B.M., Odean, T.: All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors. Review of Financial Studies 21, 785-818 (2008)
20. Busse, J.A., Green, T.C.: Market efficiency in real time. Journal of Financial Economics 65, 415-437 (2002)
21. Chemmanur, T.J., Yan, A.: Advertising, Attention, and Stock Returns. Working Paper (2009), http://ssrn.com/abstract=1340605
22. Louis, H., Sun, A.: Investor Inattention and the Market Reaction to Merger Announcements. Management Science 56, 1781-1793 (2010)
23. Da, Z., Engelberg, J., Gao, P.: In Search of Attention. Journal of Finance 66, 1461-1499 (2011)
24. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? Sentiment Classification using Machine Learning Techniques. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, Philadelphia, Pennsylvania, pp. 79-86 (2002)
25. Pang, B., Lee, L.: Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval 2, 1-135 (2008)
26. Zhou, L., Chaovalit, P.: Ontology-supported polarity mining. Journal of the American Society for Information Science and Technology 59, 98-110 (2008)
27. Thelwall, M., Buckley, K., Paltoglou, G.: Sentiment in Twitter events. Journal of the American Society for Information Science and Technology 62, 406-418 (2011)
28. Zhang, W., Skiena, S.: Trading Strategies To Exploit Blog and News Sentiment. In: Proceedings of the 4th International AAAI Conference on Weblogs and Social Media, Washington, DC (2010)
29. Ginsberg, J., Mohebbi, M.H., Patel, R.S., Brammer, L., Smolinski, M.S., Brilliant, L.: Detecting influenza epidemics using search engine query data. Nature 457, 1012-1014 (2009)
30. Penman, S.H.: The distribution of earnings news over time and seasonalities in aggregate stock returns. Journal of Financial Economics 18, 199-228 (1987)
31. Patell, J.M., Wolfson, M.A.: The intraday speed of adjustment of stock prices to earnings and dividend announcements. Journal of Financial Economics 13, 223-252 (1984)
32. Campbell, J.Y., Grossman, S.J., Wang, J.: Trading Volume and Serial Correlation in Stock Returns. Quarterly Journal of Economics 108, 905-939 (1993)
33. Newey, W.K., West, K.D.: A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix. Econometrica 55, 703-708 (1987)
34. O'Brien, R.M.: A Caution Regarding Rules of Thumb for Variance Inflation Factors. Quality & Quantity 41, 673-690 (2007)
35. Mitchell, T.: Machine learning. McGraw-Hill, London (1997)
36. Dhar, V., Stein, R.: Intelligent decision support methods. The science of knowledge work. Prentice Hall, Upper Saddle River (1997)
37. Groth, S.S., Muntermann, J.: Supporting Investment Management Processes with Machine Learning Techniques. In: Proceedings of the 9th Internationale Tagung Wirtschaftsinformatik, Vienna, vol. 2, pp. 275-284 (2009)
38. Tay, F.E.H., Cao, L.: Application of support vector machines in financial time series forecasting. Omega 29, 309-317 (2001)
39. Chau, M., Chen, H.: A machine learning approach to web page filtering using content and structure analysis. Decision Support Systems 44, 482-494 (2008)
40. Hotho, A., Nürnberger, A., Paaß, G.: A Brief Survey of Text Mining. GLDV Journal for Computational Linguistics 20, 19-62 (2005)
41. van Rijsbergen, C.J.: Information retrieval. Butterworths, London (1979)
42. Hsu, C.W., Chang, C.C., Lin, C.J.: A practical guide to support vector classification. National Taiwan University (2003), http://www.csie.ntu.edu.tw/ ~cjlin/papers/guide/guide.pdf
43. Mittermayer, M.-A.: Forecasting Intraday Stock Price Trends with Text Mining Techniques. In: Proceedings of the 37th Hawaii International Conference on System Sciences, Big Island, Hawaii (2004)
44. Lam, M.: Neural network techniques for financial performance prediction: integrating fundamental and technical analysis. Data mining for financial decision making. Decision Support Systems 37, 567-581 (2004)
45. Leskovec, J., Backstrom, L., Kleinberg, J.: Meme-tracking and the Dynamics of the News Cycle. In: Proceedings of the 15th International Conference on Knowledge Discovery and Data Mining, Paris (2009)