The appeal of vague financial forecasts
Prior findings suggest managers often choose ranges to communicate uncertainty in future earnings. We analyzed earnings forecasts over 11 years and find higher earnings uncertainty firms are more likely to choose range estimates. We study investors' attitudes to forecast precision and argue investors' evaluations of forecasts can be explained by a sequential non-compensatory two-stage process - First, investors determine whether a point or a range estimate is more appropriate for a particular domain based on the congruence principle. Then, they seek the most precise reasonable range to maximize informativeness. Results from three experiments indicate the preference for (im)precision is non-monotonic - it peaks for low levels of imprecision and diminishes when the range gets wider, and is consistent with participants' desire for congruent and informative estimates, and supports the claim that investors favor forecasts that are as precise as warranted by the information available, but not more precise.
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Volume (Year): 114 (2011)
Issue (Month): 2 (March)
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- X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, 02.
- Aaron Crabtree & John Maher, 2005. "Earnings Predictability, Bond Ratings, and Bond Yields," Review of Quantitative Finance and Accounting, Springer, vol. 25(3), pages 233-253, November.
- David V. Budescu & Ning Du, 2007. "Coherence and Consistency of Investors' Probability Judgments," Management Science, INFORMS, vol. 53(11), pages 1731-1744, November.
- Ning Du & David V. Budescu, 2005. "The Effects of Imprecise Probabilities and Outcomes in Evaluating Investment Options," Management Science, INFORMS, vol. 51(12), pages 1791-1803, December.
- Camerer, Colin & Weber, Martin, 1992. " Recent Developments in Modeling Preferences: Uncertainty and Ambiguity," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 325-70, October.
- Bipin Ajinkya & Sanjeev Bhojraj & Partha Sengupta, 2005. "The Association between Outside Directors, Institutional Investors and the Properties of Management Earnings Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 43(3), pages 343-376, 06.
- Curley, Shawn P. & Yates, J. Frank, 1985. "The center and range of the probability interval as factors affecting ambiguity preferences," Organizational Behavior and Human Decision Processes, Elsevier, vol. 36(2), pages 273-287, October.
- Irene Karamanou & Nikos Vafeas, 2005. "The Association between Corporate Boards, Audit Committees, and Management Earnings Forecasts: An Empirical Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 43(3), pages 453-486, 06.
- Hughes, J.S.John S. & Pae, Suil, 2004. "Voluntary disclosure of precision information," Journal of Accounting and Economics, Elsevier, vol. 37(2), pages 261-289, June.
- Erev, Ido & Cohen, Brent L., 1990. "Verbal versus numerical probabilities: Efficiency, biases, and the preference paradox," Organizational Behavior and Human Decision Processes, Elsevier, vol. 45(1), pages 1-18, February.
- Kahneman, Daniel & Tversky, Amos, 1979.
"Prospect Theory: An Analysis of Decision under Risk,"
Econometric Society, vol. 47(2), pages 263-91, March.
- Amos Tversky & Daniel Kahneman, 1979. "Prospect Theory: An Analysis of Decision under Risk," Levine's Working Paper Archive 7656, David K. Levine.
- Goodwin, Paul & Önkal, Dilek & Thomson, Mary, 2010. "Do forecasts expressed as prediction intervals improve production planning decisions?," European Journal of Operational Research, Elsevier, vol. 205(1), pages 195-201, August.
- Granger, Clive W J, 1996. "Can We Improve the Perceived Quality of Economic Forecasts?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 455-73, Sept.-Oct.
- Yates, J. Frank & Price, Paul C. & Lee, Ju-Whei & Ramirez, James, 1996. "Good probabilistic forecasters: The 'consumer's' perspective," International Journal of Forecasting, Elsevier, vol. 12(1), pages 41-56, March.
- Fox, Craig R & Tversky, Amos, 1995. "Ambiguity Aversion and Comparative Ignorance," The Quarterly Journal of Economics, MIT Press, vol. 110(3), pages 585-603, August.
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