Analysis of Stock Price Return Using Textual Data and Numerical Data Through Text Mining
In finance task domain, it is indispensable to get and analyze information as quickly as possible. Analyst’s reports are one of the important information in asset management, and these include a large amount of text information. However, it is very difficult to handle text information of analyst’s reports, few research and development have been conducted. In  and  we explored the feasibility to extract valuable knowledge for asset management through text mining using analyst’s reports as text data. And we found the effectiveness of keyword information. In this paper we make further research of analyst’s reports. From empirical study on the practical data, we have confirmed the effectiveness of using keyword information and numerical information together: (1) the effectiveness of keyword information is different by the direction of change of earning estimate; (2) the keyword of “Upward (or Downward) surprise in forecast” has strong effect to stock price return.
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- 2.Chopra, V.K.: Why So Much Error in Analysts’ Earnings Forecasts? Financial Analysts Journal, 35–42 (November/December 1998)Google Scholar
- 6.Takahashi, S., Takahashi, H., Tsuda, K., Terano, T.: Analyzing Asset Management Knowledge from Analyst’s Reports through Text Mining, International IPSI 2004, 2004.11Google Scholar
- 7.Wuthrich, B., Cho, V., Leung, S., Permunetilleke, D., Sankaran, K., Zhang, J., Lam, W.: Daily Prediction of Major Stock Indices from Textual WWW Data. In: KDDM 1998 Conference, pp. 364–368. AAAI Press, NY (1998)Google Scholar