Reported earnings and analyst forecasts as competing sources of information: A new approach
AbstractWe apply a new methodology, modified Granger causality tests, to further analyze the information flows between earnings and forecasts. Our application focuses on the dynamic interaction between reported earnings and analystsâ€™ forecasts. Based on long time series of analyst earnings forecasts and reported earnings, we provide formal and compelling evidence of bi-directional â€˜causalityâ€™. Further, we report that the lag structure in information flows is longer than has been documented in the previous literature. This is consistent with our expectation that, in addition to past earnings reports, the forecasts themselves make a significant contribution to the information that is reflected in future earnings. However, the presence of feedback also suggests that past earnings reports, as well as past forecasts, are incorporated into later forecasts. Collectively, our findings imply that the information in earnings reports has inherent positive value and that forecasts do not fully substitute for earnings releases.
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Bibliographic InfoArticle provided by Australian School of Business in its journal Australian Journal of Management.
Volume (Year): 37 (2012)
Issue (Month): 3 (December)
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Web page: http://www.agsm.edu.au
Analyst forecasts; Granger causality; information flows; reported earnings;
Other versions of this item:
- H.M. Anderson & H. Chan & R. Faff & Y.K. Ho, 2007. "Reported Earnings and Analyst Forecasts as Competing Sources of Information: A New Approach," ANU Working Papers in Economics and Econometrics 2007-488, Australian National University, College of Business and Economics, School of Economics.
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- M41 - Business Administration and Business Economics; Marketing; Accounting - - Accounting - - - Accounting
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Shiller, Robert & Campbell, John, 1988.
"Interpreting Cointegrated Models,"
3221492, Harvard University Department of Economics.
- Ball, Ray & Bartov, Eli, 1996. "How naive is the stock market's use of earnings information?," Journal of Accounting and Economics, Elsevier, vol. 21(3), pages 319-337, June.
- Collins, Daniel W. & Kothari, S. P., 1989. "An analysis of intertemporal and cross-sectional determinants of earnings response coefficients," Journal of Accounting and Economics, Elsevier, vol. 11(2-3), pages 143-181, July.
- Foster, George, 1981. "Intra-industry information transfers associated with earnings releases," Journal of Accounting and Economics, Elsevier, vol. 3(3), pages 201-232, December.
- Asquith, Paul & Mikhail, Michael B. & Au, Andrea S., 2005. "Information content of equity analyst reports," Journal of Financial Economics, Elsevier, vol. 75(2), pages 245-282, February.
- Timmermann, Allan, 2006.
Handbook of Economic Forecasting,
- Marco Aiolfi & Carlos Capistrán & Allan Timmermann, 2010. "Forecast Combinations," CREATES Research Papers 2010-21, School of Economics and Management, University of Aarhus.
- Marco Aiolfi & Carlos Capistrán & Allan Timmermann, 2010. "Forecast Combinations," Working Papers 2010-04, Banco de México.
- Timmermann, Allan G, 2005. "Forecast Combinations," CEPR Discussion Papers 5361, C.E.P.R. Discussion Papers.
- Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
- Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
- Beaver, William & Lambert, Richard & Morse, Dale, 1980. "The information content of security prices," Journal of Accounting and Economics, Elsevier, vol. 2(1), pages 3-28, March.
- Brennan, Michael J & Jegadeesh, Narasimhan & Swaminathan, Bhaskaran, 1993. "Investment Analysis and the Adjustment of Stock Prices to Common Information," Review of Financial Studies, Society for Financial Studies, vol. 6(4), pages 799-824.
- Lennox, Clive S. & Park, Chul W., 2006. "The informativeness of earnings and management's issuance of earnings forecasts," Journal of Accounting and Economics, Elsevier, vol. 42(3), pages 439-458, December.
- Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
- Frankel, Richard & Kothari, S.P. & Weber, Joseph, 2006. "Determinants of the informativeness of analyst research," Journal of Accounting and Economics, Elsevier, vol. 41(1-2), pages 29-54, April.
- Collins, Daniel W. & Maydew, Edward L. & Weiss, Ira S., 1997. "Changes in the value-relevance of earnings and book values over the past forty years," Journal of Accounting and Economics, Elsevier, vol. 24(1), pages 39-67, December.
- Jones, Jefferson P & Morton, Richard M & Schaefer, Thomas F, 2000. " Valuation Implications of Investment Opportunities and Earnings Permanence," Review of Quantitative Finance and Accounting, Springer, vol. 15(1), pages 21-35, July.
- Bartov, Eli & Givoly, Dan & Hayn, Carla, 2002. "The rewards to meeting or beating earnings expectations," Journal of Accounting and Economics, Elsevier, vol. 33(2), pages 173-204, June.
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