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The Economic Value of Predicting Stock Index Returns and Volatility

Published online by Cambridge University Press:  06 April 2009

Wessel Marquering  and
Marno Verbeek
Wessel Marquering
Affiliation:
w.marquering@fbk.eur.nl, Department of Financial Management
Marno Verbeek
Affiliation:
mverbeek@fbk.eur.nl, Department of Financial Management and Econometric Institute, Erasmus University Rotterdam, F4-26, PO Box 1738, 3000 DR Rotterdam, The Netherlands.
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Abstract

In this paper, we analyze the economic value of predicting stock index returns as well as volatility. On the basis of simple linear models, estimated recursively, we produce out-of-sample forecasts for the return on the S&P 500 index and its volatility. Using monthly data, we examine the economic value of a number of alternative trading strategies over the period 1970–2001. It appears easier to forecast returns at times when volatility is high. For a mean-variance investor, this predictability is economically profitable, even if short sales are not allowed and transaction costs are quite large. The economic value of trading strategies that employ market timing in returns and volatility exceeds that of strategies that only employ timing in returns. Most of the profitability of the dynamic strategies, however, is located in the first half of our sample period.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 39 , Issue 2 , June 2004 , pp. 407 - 429
Copyright
Copyright © School of Business Administration, University of Washington 2004

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References

Akgiray, V. “Conditional Heteroskedasticity in Time Series of Stock Returns: Evidence and Forecasts.” Journal of Business, 62 (1989), 55–80.Google Scholar
Ang, A., and Bekaert, G.. “Stock Return Predictability: Is it There?” Working Paper, Columbia Business School (2001).CrossRefGoogle Scholar
Angas, L. L. B.Investment for Appreciation. Forecasting Movements in Security Prices. Technique of Trading in Shares for Profit. London, England: McMillan (1936).Google Scholar
Bollerslev, T. “Generalized Autoregressive Conditional Heteroskedasticity.” Journal of Econometrics, 31 (1986), 307–327.Google Scholar
Bossaerts, P., and Hillion, P.. “Implementing Statistical Criteria to Select Return Forecasting Models: What Do We Learn?” Review of Financial Studies, 12 (1999), 405–428.CrossRefGoogle Scholar
Breen, W.; Glosten, L. R.; and Jagannathan, R.. “Economic Significance of Predictable Variations in Stock Index Returns.” Journal of Finance, 44 (1989), 1177–1189.CrossRefGoogle Scholar
Britten-Jones, M. “The Sampling Error in Estimates of Mean-Variance Efficient Portfolio Weights.” Journal of Finance, 54 (1999), 655–671.CrossRefGoogle Scholar
Brock, W. A., and Hommes, C. H.. “A Rational Route to Randomness.” Econometrica, 65 (1997), 1059–1095.Google Scholar
Campbell, J. Y. “Asset Pricing at the Millennium.” Journal of Finance, 55 (2000), 1515–1568.CrossRefGoogle Scholar
Fama, E., and French, K.. “Business Conditions and Expected Returns on Stocks and Bonds.” Journal of Financial Economics, 25 (1989), 23–49.CrossRefGoogle Scholar
Fama, E., and Schwert, G. W.. “Asset Returns and Inflation.” Journal of Financial Economics, 5 (1977), 115–146.CrossRefGoogle Scholar
Fleming, J.; Kirby, C.; and Ostdiek, B.. “The Economic Value of Volatility Timing.” Journal of Finance, 56 (2001), 329–352.Google Scholar
French, K. R.; Schwert, G. W.; and Stambaugh, R. F.. “Expected Stock Returns and Volatility.” Journal of Financial Economics, 19 (1987), 3–29.CrossRefGoogle Scholar
Harvey, A. C. “Estimating Regression Models with Multiplicative Heteroskedasticity.” Econometrica, 44 (1976), 461–465.CrossRefGoogle Scholar
Henriksson, R. D., and Merton, R. C.. “On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills.” Journal of Business, 54 (1981), 513–533.Google Scholar
Kandel, S., and Stambaugh, R. F.. “On the Predictability of Stock Returns: An Asset-Allocation Perspective.” Journal of Finance, 51 (1996), 385–424.Google Scholar
Lewellen, J., and Shanken, J.. “Estimation Risk, Market Efficiency, and the Predictability of Returns.” Working Paper 7699, NBER (2000).Google Scholar
Lucas, R. E. “Asset Prices in an Exchange Economy.” Econometrica, 46 (1978), 1429–1445.Google Scholar
Maenhout, P. “Robust Portfolio Rules and Asset Pricing.” Review of Financial Studies (forthcoming 2004)CrossRefGoogle Scholar
Mandelbrot, B. “The Variation of Certain Speculative Prices.” Journal of Business, 36 (1963), 394–419.CrossRefGoogle Scholar
Nelson, D. “Conditional Heteroskedasticity in Asset Returns: A New Approach.” Econometrica, 53 (1990), 1047–1070.Google Scholar
Newey, W. K., and West, K.. “A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix.” Econometrica, 55 (1987), 703–708.Google Scholar
Pesaran, M. H., and Timmermann, A. G.. “Predictability of Stock Returns: Robustness and Economic Significance.” Journal of Finance, 50 (1995), 1201–1228.CrossRefGoogle Scholar
Pesaran, M. H., and Timmermann, A. G.. “A Recursive Modelling Approach to Predicting U.K. Stock Returns.” Economic Journal, 110 (2000), 159–191.Google Scholar
Pesaran, M. H., and Timmermann, A. G.. “Market Timing and Return Prediction under Model Instability.” Journal of Empirical Finance, 9 (2002), 495–510.Google Scholar
Prime, J. H.Investment Analysis. New York, NY: Prentice Hall (1946).Google Scholar
Shiller, R. J.Irrational Exuberance. Princeton, NJ: Princeton Univ. Press (2000).Google Scholar
Solnik, B. “The Performance of International Asset Allocation Strategies Using Conditioning Information.” Journal of Empirical Finance, 1 (1993), 33–55.Google Scholar
Sullivan, R.; Timmermann;, A. and White, H.. “Data-Snooping, Technical Trading Rule Performance, and the Bootstrap.” Journal of Finance, 54 (1999), 1647–1691.CrossRefGoogle Scholar
Treynor, J. L., and Mazuy, K.. “Can Mutual Funds Outguess the Market?” Harvard Business Review, 44 (1966), 131–136.Google Scholar
White, H. “A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity.” Econometrica, 48 (1980), 817–835.Google Scholar