Abstract
The main propose of this study is to build a more powerful earning prediction model by incorporating risk information disclosed in the textual portion of financial reports. We adopt the single-index model developed by Weiss, Naik and Tsai as a foundation. However, other than the traditionally used numeric financial information, our model adds textual information about risk sentiment contained in financial reports. We believe such a model can reduce specification errors resulting from pre-assuming linear relationship, thus can predict future earnings more accurately. The empirical results show that the modified model does significantly improve the accuracy of earning prediction.
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References
Abarbanell, J.S., Bushee, B.J.: Fundamental Analysis, Future Earnigns, and Stock Returns. Journal of Accounting Research 35, 1–24 (1997)
Ball, R., Watts, R.: Some Time Series Properties of Accounting Income. Journal of Finance, 663–682 (June 1972)
Beaver, W., Lambert, R., Morse, D.: The Information Content of Security Prices. Journal of Accounting and Economics 2, 3–28 (1980)
Beaver, W., Lambert, R.A., Ryan, S.G.: The Information Content of Security Prices: a Second Look. Journal of Accounting and Economics 9 (1987)
Brown, L.D., Hagerman, R.L., Griffin, P.A., Zmijewski, M.E.: Security Analyst Superiority Relative to Univariate Time Series Models in Forecasting Quarterly Earnings. Journal of Accounting and Economics 9, 61–87 (1987)
Das, S., Lev, B.: Nonlinearities in the Returns-Earnings Relation: Tests of Alternative Specifications and Explanations. Contemporary Accounting Research 11, 353–379 (1994)
Duan, N., Li, K.C.: Slicing Regression: A Link-Free Regression Method. Annals of Statistics 19, 503–505 (1991)
Fairfield, P.M., Sweeney, R.J., Yohn, T.L.: Accounting Classification and the Predictive Content of Earnings. The Accounting Review 71(3), 337–355 (1996)
Horowitz, J.L.: Semiparametric Methods in Econometrics. Springer, New York (1998)
Kothari, S.P.: Price-Earnings Regressions in the Presence of Prices Leading Earnings. Journal of Accounting and Economics 15, 143–171 (1992)
Lev, B., Thiagarajan, R.: Fundamental Information Analysis. Journal of Accounting Research 31, 190–215 (1993)
Li, F.: Do Stock Market Investors Understand the Risk Sentiment of Corporate Annual Reports? Working paper (2006)
Ou, J.A.: The information Content of Nonearnings Accounting Numbers as Earnings Predictors. Journal of Accounting Research 28, 144–163 (1990)
Skinner, D.J.: Why Firms Voluntarily Disclose Bad News. Journal of Accounting Research 32, 38–60 (1994)
Wang, T.W., Rees, J.: Reading the Disclosures with New Eyes: Bridging the Gap between Information Security Disclosures and Incidents. Working paper (2007)
Weiss, D., Naik, P.A., Tsai, C.L.: Extracting Forward-Looking Information from Security Prices: A New Approach. The Accounting Review 83, 1101–1124 (2008)
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Chen, KT., Chen, TJ., Yen, JC. (2009). Predicting Future Earnings Change Using Numeric and Textual Information in Financial Reports. In: Chen, H., Yang, C.C., Chau, M., Li, SH. (eds) Intelligence and Security Informatics. PAISI 2009. Lecture Notes in Computer Science, vol 5477. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01393-5_7
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DOI: https://doi.org/10.1007/978-3-642-01393-5_7
Publisher Name: Springer, Berlin, Heidelberg
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