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The Relation Between Overreaction in Forecasts and Uncertainty: A Nonlinear Approach

Listed author(s):
  • Leppin, Julian Sebstian

This paper examines if overreaction of oil price forecasters is affected by uncertainty. Furthermore, it takes into account joint effects of uncertainty and oil price returns on forecast changes. The panel smooth transition regression model from Gonz alez et al. (2005) is applied with univariate and multivariate transition functions to account for nonlinear relations. Data on oil price expectations for different time horizons are taken from the European Central Bank Survey of Professional Forecasters. The results show that forecasters overreact for low levels of uncertainty and underreact for increasing uncertainty. Furthermore, returns are found to be more relevant for forecast changes in short time horizons while uncertainty dominates for longer ones.

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File URL: https://www.econstor.eu/bitstream/10419/100284/1/VfS_2014_pid_748.pdf
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Paper provided by Verein für Socialpolitik / German Economic Association in its series Annual Conference 2014 (Hamburg): Evidence-based Economic Policy with number 100284.

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Date of creation: 2014
Handle: RePEc:zbw:vfsc14:100284
Contact details of provider: Web page: http://www.socialpolitik.org/
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  1. Carlos Bowles & Roberta Friz & Veronique Genre & Geoff Kenny & Aidan Meyler & Tuomas Rautanen, 2007. "The ECB survey of professional forecasters (SPF) – A review after eight years’ experience," Occasional Paper Series 59, European Central Bank.
  2. Amir, Eli & Ganzach, Yoav, 1998. "Overreaction and underreaction in analysts' forecasts," Journal of Economic Behavior & Organization, Elsevier, vol. 37(3), pages 333-347, November.
  3. Gilles Hilary & Lior Menzly, 2006. "Does Past Success Lead Analysts to Become Overconfident?," Management Science, INFORMS, vol. 52(4), pages 489-500, April.
  4. Andrés González & Timo Teräsvirta & Dick van Dijk & Yukai Yang, 1910. "Panel Smooth Transition Regression Models," CREATES Research Papers 2017-36, Department of Economics and Business Economics, Aarhus University.
  5. Reitz, Stefan & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Nonlinear expectations in speculative markets – Evidence from the ECB survey of professional forecasters," Journal of Economic Dynamics and Control, Elsevier, vol. 36(9), pages 1349-1363.
  6. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
  7. Juan Angel Garcia, 2003. "An introduction to the ECB’s survey of professional forecasters," Occasional Paper Series 08, European Central Bank.
  8. Lof, Matthijs, 2012. "Heterogeneity in stock prices: A STAR model with multivariate transition function," Journal of Economic Dynamics and Control, Elsevier, vol. 36(12), pages 1845-1854.
  9. Deaves, Richard & Lüders, Erik & Schröder, Michael, 2010. "The dynamics of overconfidence: Evidence from stock market forecasters," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 402-412, September.
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  15. Francesca Pancotto & Filippo Maria Pericoli & Marco Pistagnesi, 2013. "Inefficiency in Survey Exchange Rates Forecasts," Working Papers 1/13, Sapienza University of Rome, DISS.
  16. Abarbanell, Jeffery S., 1991. "Do analysts' earnings forecasts incorporate information in prior stock price changes?," Journal of Accounting and Economics, Elsevier, vol. 14(2), pages 147-165, June.
  17. Harrison Hong & Jeffrey D. Kubik & Amit Solomon, 2000. "Security Analysts' Career Concerns and Herding of Earnings Forecasts," RAND Journal of Economics, The RAND Corporation, vol. 31(1), pages 121-144, Spring.
  18. Campbell, Sean D. & Sharpe, Steven A., 2009. "Anchoring Bias in Consensus Forecasts and Its Effect on Market Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(02), pages 369-390, April.
  19. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
  20. López-Villavicencio, Antonia & Mignon, Valérie, 2011. "On the impact of inflation on output growth: Does the level of inflation matter?," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 455-464, September.
  21. Pierdzioch, Christian & Rülke, Jan Christoph & Stadtmann, Georg, 2010. "New evidence of anti-herding of oil-price forecasters," Energy Economics, Elsevier, vol. 32(6), pages 1456-1459, November.
  22. Abarbanell, Jeffrey S & Bernard, Victor L, 1992. " Tests of Analysts' Overreaction/Underreaction to Earnings Information as an Explanation for Anomalous Stock Price Behavior," Journal of Finance, American Finance Association, vol. 47(3), pages 1181-1207, July.
  23. John C. Easterwood & Stacey R. Nutt, 1999. "Inefficiency in Analysts' Earnings Forecasts: Systematic Misreaction or Systematic Optimism?," Journal of Finance, American Finance Association, vol. 54(5), pages 1777-1797, October.
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