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Asymmetric Loss Functions and the Rationality of Expected Stock Returns

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  • Aretz, Kevin
  • Bartram, Söhnke M.
  • Pope, Peter F.

Abstract

We combine the innovative approaches of Elliott, Komunjer, and Timmermann (2005) and Patton and Timmermann (2007) with a block bootstrap to analyze whether asymmetric loss functions can rationalize the S&P 500 return expectations of individual forecasters from the Livingston Surveys. Although the rationality of these forecasts has often been rejected, earlier studies rely on the assumption that positive and negative forecast errors of identical magnitude are equally important to forecasters. Allowing for homogenous asymmetric loss, our evidence still strongly rejects forecast rationality. However, if we allow for variation in asymmetric loss functions across forecasters, we not only find significant differences in preferences, but we can also often no longer reject forecast rationality. Our conclusions raise serious doubts about the homogeneous expectations assumption often made in the theory of asset pricing, portfolio construction or corporate finance.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 47343.

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Date of creation: 2011
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Publication status: Published in International Journal of Forecasting 2.27(2011): pp. 413-437
Handle: RePEc:pra:mprapa:47343

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Keywords: financial markets; general loss functions; GMM block bootstrapping; Livingston Survey; price forecasting;

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  1. Amit Goyal & Ivo Welch, 2003. "Predicting the Equity Premium with Dividend Ratios," Management Science, INFORMS, vol. 49(5), pages 639-654, May.
  2. Carlos Capistrán & Allan Timmermann, 2008. "Disagreement and Biases in Inflation Expectations," CREATES Research Papers 2008-56, School of Economics and Management, University of Aarhus.
  3. Clive W.J. Granger, 1999. "Outline of forecast theory using generalized cost functions," Spanish Economic Review, Springer, vol. 1(2), pages 161-173.
  4. Amit Goyal & Ivo Welch, 2004. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction," Yale School of Management Working Papers amz2412, Yale School of Management, revised 01 Jan 2006.
  5. Keim, Donald B. & Stambaugh, Robert F., 1986. "Predicting returns in the stock and bond markets," Journal of Financial Economics, Elsevier, vol. 17(2), pages 357-390, December.
  6. J. L. Horowitz, 1995. "Bootstrap Methods In Econometrics: Theory And Numerical Performance," SFB 373 Discussion Papers 1995,63, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  7. Breen, William & Glosten, Lawrence R & Jagannathan, Ravi, 1989. " Economic Significance of Predictable Variations in Stock Index Returns," Journal of Finance, American Finance Association, vol. 44(5), pages 1177-89, December.
  8. Sanford J Grossman & Joseph E Stiglitz, 1997. "On the Impossibility of Informationally Efficient Markets," Levine's Working Paper Archive 1908, David K. Levine.
  9. Ferson, Wayne E, 1989. " Changes in Expected Security Returns, Risk, and the Level of Interest Rates," Journal of Finance, American Finance Association, vol. 44(5), pages 1191-1217, December.
  10. Harvey, Campbell R., 1989. "Time-varying conditional covariances in tests of asset pricing models," Journal of Financial Economics, Elsevier, vol. 24(2), pages 289-317.
  11. Joel L. Horowitz, 1998. "Bootstrap Methods for Covariance Structures," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 39-61.
  12. Lakonishok, Josef, 1980. " Stock Market Return Expectations: Some General Properties," Journal of Finance, American Finance Association, vol. 35(4), pages 921-31, September.
  13. A. Robert Nobay & David A. Peel, 2003. "Optimal Discretionary Monetary Policy in a Model of Asymmetric Central Bank Preferences," Economic Journal, Royal Economic Society, vol. 113(489), pages 657-665, 07.
  14. Patton, Andrew J. & Timmermann, Allan, 2007. "Testing Forecast Optimality Under Unknown Loss," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1172-1184, December.
  15. Bergström, Pål & Dahlberg, Matz & Johansson, Eva, 1997. "GMM Bootstrapping and Testing in Dynamic Panels," Working Paper Series 1997:10, Uppsala University, Department of Economics.
  16. Pearce, Douglas K, 1984. "An Empirical Analysis of Expected Stock Price Movements," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 16(3), pages 317-27, August.
  17. Graham Elliott & Ivana Komunjer & Allan Timmermann, 2005. "Biases In Macroeconomic Forecasts: Irrationality Or Asymmetric Loss?," CAMA Working Papers 2005-14, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  18. Elliott, Graham & Timmermann, Allan, 2004. "Optimal forecast combinations under general loss functions and forecast error distributions," Journal of Econometrics, Elsevier, vol. 122(1), pages 47-79, September.
  19. Andrews, Donald W K, 2002. "Generalized Method of Moments Estimation When a Parameter Is on a Boundary," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 530-44, October.
  20. Hall, Peter & Horowitz, Joel L, 1996. "Bootstrap Critical Values for Tests Based on Generalized-Method-of-Moments Estimators," Econometrica, Econometric Society, vol. 64(4), pages 891-916, July.
  21. Campbell, John, 1987. "Stock Returns and the Term Structure," Scholarly Articles 3207699, Harvard University Department of Economics.
  22. Merton, Robert C., 1980. "On estimating the expected return on the market : An exploratory investigation," Journal of Financial Economics, Elsevier, vol. 8(4), pages 323-361, December.
  23. Michaely, Roni & Womack, Kent L, 1999. "Conflict of Interest and the Credibility of Underwriter Analyst Recommendations," Review of Financial Studies, Society for Financial Studies, vol. 12(4), pages 653-86.
  24. Gu, Zhaoyang & Wu, Joanna Shuang, 2003. "Earnings skewness and analyst forecast bias," Journal of Accounting and Economics, Elsevier, vol. 35(1), pages 5-29, April.
  25. Pesaran, M Hashem & Timmermann, Allan, 1995. " Predictability of Stock Returns: Robustness and Economic Significance," Journal of Finance, American Finance Association, vol. 50(4), pages 1201-28, September.
  26. Brown, Bryan W & Maital, Shlomo, 1981. "What Do Economists Know? An Empirical Study of Experts' Expectations," Econometrica, Econometric Society, vol. 49(2), pages 491-504, March.
  27. repec:wop:humbsf:1995-63 is not listed on IDEAS
  28. Dokko, Yoon & Edelstein, Robert H, 1989. "How Well Do Economists Forecast Stock Market Prices? A Study of the Livingston Surveys," American Economic Review, American Economic Association, vol. 79(4), pages 865-71, September.
  29. Bin Ke & Yong Yu, 2006. "The Effect of Issuing Biased Earnings Forecasts on Analysts' Access to Management and Survival," Journal of Accounting Research, Wiley Blackwell, vol. 44(5), pages 965-999, December.
  30. Alon Brav & Reuven Lehavy & Roni Michaely, 2005. "Using Expectations to Test Asset Pricing Models," Financial Management, Financial Management Association, vol. 34(3), Fall.
  31. Rajan, Raghuram & Servaes, Henri, 1997. " Analyst Following of Initial Public Offerings," Journal of Finance, American Finance Association, vol. 52(2), pages 507-29, June.
  32. Joachim Inkmann, 2000. "Finite Sample Properties of One-step, Two-step and Bootstrap Empirical Likelihood Approaches to Efficient GMM Estimation," CoFE Discussion Paper 00-03, Center of Finance and Econometrics, University of Konstanz.
  33. Graham Elliott & Allan Timmermann & Ivana Komunjer, 2005. "Estimation and Testing of Forecast Rationality under Flexible Loss," Review of Economic Studies, Oxford University Press, vol. 72(4), pages 1107-1125.
  34. Fama, Eugene F. & French, Kenneth R., 1988. "Dividend yields and expected stock returns," Journal of Financial Economics, Elsevier, vol. 22(1), pages 3-25, October.
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Cited by:
  1. Ulu, Yasemin, 2007. "Optimal prediction under LINLIN loss: Empirical evidence," International Journal of Forecasting, Elsevier, vol. 23(4), pages 707-715.

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