Aretz, Kevin and Bartram, Söhnke M. and Pope, Peter F. (2011): Asymmetric Loss Functions and the Rationality of Expected Stock Returns. Published in: International Journal of Forecasting , Vol. 27, No. 2 (April 2011): pp. 413-437.
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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.
Item Type: | MPRA Paper |
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Original Title: | Asymmetric Loss Functions and the Rationality of Expected Stock Returns |
Language: | English |
Keywords: | financial markets, general loss functions, GMM block bootstrapping, Livingston Survey, price forecasting |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice ; Investment Decisions G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets |
Item ID: | 47343 |
Depositing User: | Söhnke M. Bartram |
Date Deposited: | 29 Jun 2013 09:47 |
Last Modified: | 26 Sep 2019 22:06 |
References: | Admati, A., 1986, “A Noisy Rational Expectations Equilibrium for Multi-Asset Securities Markets,” Econometrica, 53, 629–657. Amromin, G., and S. Sharpe, 2006, “From the Horse’s Mouth: Gauging Conditional Expected Stock Returns from Investor Surveys,” Federal Reserve Board of Governors Working Paper. Anatolyev, S., 2002, “Bootstrap Inference in Multi–Period Prediction Problems: A Simulation Study,” New Economic School of Moscow Working Paper. Andrews, D. W. K., 2002, “Generalized Method of Moments Estimation When a Parameter Is on a Boundary,” Journal of Business and Economic Statistics, 20, 530–544. Bergstr¨om, P., M. Dahlberg, and E. Johansson, 1997, “GMM Bootstrapping and Testing in Dynamic Panels,” Uppsala University Working Paper. Brav, A., R. Lehavy, and R. Michaely, 2005, “Using Expectations to Test Asset Pricing Models,” Financial Management, 34, 31–64. Breen, W., L. R. Glosten, and R. Jagannathan, 1989, “Economic Significance of Predictable Variation in Stock Index Returns,” The Journal of Finance, 44, 1177–1190. Brown, B. W., and S. Maital, 1981, “What Do Economists Know? An Empirical Study of Experts’ Expectations,” Econometrica, 49, 491–504. Campbell, J. Y., 1987, “Stock Returns and the Term Structure,” Journal of Financial Economics, 18, 373–399. Capistr´an, C., and A. Timmermann, 2009, “Disagreement and Biases in Inflation Expectations,” Forthcoming in the Journal of Money, Credit and Banking. Chernoff, H., 1954, “On the Distribution of the Likelihood Ratio,” Annals of Mathematical Statistics, 54, 573–578. Dokko, Y., and R. H. Edelstein, 1989, “How Well Do Economists Forecast Stock Market Prices? A Study of the Livingston Surveys,” American Economic Review, 79, 865–871. Elliott, G., I. Komunjer, and A. G. Timmermann, 2005, “Estimation and Testing of Forecast Rationality under Flexible Loss,” Review of Economic Studies, 72, 1107–1125. Elliott, G., and A. G. Timmermann, 2004, “Optimal Forecast Combinations under General Loss Functions and Forecast Error Distributions,” Journal of Econometrics, 122, 47–79. Fama, E. F., and K. R. French, 1988, “Dividend Yields and Expected Stock Returns,” Journal of Financial Economics, 22, 3–25. Fama, E. F., and K. R. French, 1989, “Business Conditions and Expected Stock Returns,” Journal of Financial Economics, 25, 23–50. Ferson, W. E., 1989, “Changes in Expected Security Returns, Risk, and the Level of Interest Rates,” The Journal of Finance, 44, 1191–1218. Ferson, W. E., and C. R. Harvey, 1991, “The Variation of Economic Risk Premia,” Journal of Political Economy, 99, 385–415. Goyal, A., and I. Welch, 2003, “Predicting the Equity Premium with Dividend Ratios,” Management Science, 49, 639–654. Goyal, A., and I. Welch, 2006, “A Comprehensive Look at the Empirical Performance of Equity Premium Prediction,” Brown University Working Paper Series. Granger, C. W. J., 1999, “Outline of Forecast Theory using Generalized Cost Functions,” Spanish Economic Review, 1, 161–173. Granger, C. W. J., and P. Newbold, 1986, Forecasting Economic Time Series, Academic Press. Granger, C. W. J., and H. Pesaran, 2000, “Economic and Statistical Measures of Forecast Accuracy,” Journal of Forecasting, 19, 537–560. Grossman, S., and J. Stiglitz, 1980, “On the Impossibility of Informationally Efficient Markets,” American Economic Review, 70, 393–408. Gu, Z., and J. S. Wu, 2003, “Earnings Skewness and Analyst Forecast Bias,” Journal of Accounting and Economics, 35, 5–29. Hall, P., and J. L. Horowitz, 1996, “Bootstrap Critical Values for Tests Based on Generalized–Method–of–Moments Estimators,” Econometrica, 64, 891–916. Harvey, C. R., 1989, “Time-varying Conditional Covariances in Tests of Asset Pricing Models,” Journal of Financial Economics, 24, 289–318. Horowitz, J. L., 1995, “Boostrap Methods in Econometrics: Theory and Numerical Performance,” University of Iowa Working Paper. Horowitz, J. L., 1998, “Bootstrap Methods for Covariance Structures,” Journal of Human Resources, 33, 38–61. Horowitz, J. L., 2003, “The Bootstrap in Econometrics,” Statistical Science, 18, 211–218. Inkmann, J., 2005, “Finite Sample Properties of One–step, Two–step and Bootstrap Empirical Likelihood Approaches to Efficient GMM Estimation,” University of Konstanz Working Paper. Ke, B., and Y. Yu, 2006, “The Effect of Issuing Biased Earnings Forecasts on Analysts’ Access to Management and Survival,” Journal of Accounting Research, 44, 965–999. Keim, D. B., and R. F. Stambaugh, 1986, “Predicting Returns in the Stock and Bond Markets,” Journal of Financial Economics, 17, 357–390. Lakonishok, J., 1980, “Stock Market Return Expectations: Some General Properties,” The Journal of Finance, 35, 921–931. Merton, R. C., 1980, “On Estimating the Expected Return on the Market: An Exploratory Investigation,” Journal of Financial Economics, 8, 323–361. Michaely, R., and K. L.Womack, 1999, “Conflict of Interest and the Credibility of Underwriter Analyst Recommendation,” Review of Financial Studies, 12, 653–686. Newey, W. K., and K. D. West, 1987, “A Simple Positive–Definite Heteroscedasticity and Autocorrelation Consistent Covariance Matrix,” Econometrica, 55, 703–708. Patton, A. J., and A. Timmermann, 2005, “Testable Implications of Forecast Optimality,” London School of Economics Working Paper. Patton, A. J., and A. G. Timmermann, 2007, “Testing Forecast Optimality under Unknown Loss,” Journal of the American Statistical Association, 102, 1172–1184. Pearce, D. K., 1984, “An Empirical Analysis of Expected Stock Price Movements,” Journal of Money, Credit, and Banking, 16, 317–327. Peel, D. A., and A. R. Nobay, 2003, “Optimal Monetary Policy in a Model of Asymmetric Central Bank Preferences,” Economic Journal, 113, 657–665. Pesaran, M. H., and A. Timmermann, 1995, “Predictability of Stock Returns: Robustness and Economic Significance,” The Journal of Finance, 50, 1201–1229. Rajan, R., and H. Servaes, 1997, “Analysts Following of Initial Public Offerings,” The Journal of Finance, 52, 507–529. Welch, I., 1999, “The Equity Size Puzzle,” Brown University Working Paper Series. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/47343 |