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The Optimal Use of Return Predictability: An Empirical Study

Published online by Cambridge University Press:  04 October 2012

Abhay Abhyankar
Affiliation:
[email protected], Business School, University of Exeter, Rennes Drive, Exeter EX4 4PU, UK
Devraj Basu
Affiliation:
[email protected], SKEMA Business School, 06902 Sophia Antipolis Cedex, France
Alexander Stremme
Affiliation:
[email protected], Warwick Business School, University of Warwick, Coventry CV4 7AL, UK

Abstract

In this paper we study the economic value and statistical significance of asset return predictability, based on a wide range of commonly used predictive variables. We assess the performance of dynamic, unconditionally efficient strategies, first studied by Hansen and Richard (1987) and Ferson and Siegel (2001), using a test that has both an intuitive economic interpretation and known statistical properties. We find that using the lagged term spread, credit spread, and inflation significantly improves the risk-return trade-off. Our strategies consistently outperform efficient buy-and-hold strategies, both in and out of sample, and they also incur lower transactions costs than traditional conditionally efficient strategies.

Type
Research Articles
Copyright
Copyright © Michael G. Foster School of Business, University of Washington 2012

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References

Abhyankar, A.; Basu, D.; and Stremme, A.. “Portfolio Efficiency and Discount Factor Bounds with Conditioning Information: An Empirical Study.” Journal of Banking and Finance, 31 (2007), 419437.Google Scholar
Ang, A., and Bekaert, G.. “Stock Return Predictability: Is It There?Review of Financial Studies, 20 (2007), 651707.Google Scholar
Avramov, D., and Chordia, T.. “Asset Pricing Models and Financial Market Anomalies.” Review of Financial Studies, 19 (2006a), 10011040.Google Scholar
Avramov, D., and Chordia, T.. “Predicting Stock Returns.” Journal of Financial Economics, 82 (2006b), 387415.Google Scholar
Bansal, R.; Harvey, C.; and Dahlquist, M.. “Dynamic Trading Strategies and Portfolio Choice.” Working Paper, Duke University (2005).Google Scholar
Brennan, M. J., and Xia, Y.. “Tay’s as Good as Cay.” Finance Research Letters, 2 (2005), 114.Google Scholar
Campbell, J. Y. “Stock Returns and the Term Structure.” Journal of Financial Economics, 18 (1987), 373399.Google Scholar
Campbell, J. Y., and Vicera, L. M.. “Who Should Buy Long-Term Bonds?American Economic Review, 91 (2001), 99127.Google Scholar
Chiang, E. “Modern Portfolio Management with Conditioning Information.” Working Paper, Boston College (2005).Google Scholar
Cochrane, J.Portfolio Advice for a Multifactor World.” Economic Perspectives, Federal Reserve Bank of Chicago, 23 (1999), 5978.Google Scholar
Dybvig, P. H., and Ross, S. A.. “Differential Information and Performance Measurement Using a Security Market Line.” Journal of Finance, 40 (1985), 383399.Google Scholar
Fama, E. F., and French, K. R.. “Dividend Yields and Expected Stock Returns.” Journal of Financial Economics, 22 (1988), 325.Google Scholar
Fama, E. F., and French, K. R.. “Business Conditions and Expected Returns on Stocks and Bonds.” Journal of Financial Economics, 25 (1989), 2349.Google Scholar
Fama, E. F., and French, K. R.. “The Cross-Section of Expected Stock Returns.” Journal of Finance, 47 (1992), 427465.Google Scholar
Fama, E. F., and Schwert, G. W.. “Asset Returns and Inflation.” Journal of Financial Economics, 5 (1977), 115146.Google Scholar
Ferson, W. E.; Sarkissian, S.; and Simin, T. T.. “Spurious Regressions in Financial Economics?Journal of Finance, 58 (2003), 13931414.Google Scholar
Ferson, W. E., and Siegel, A. F.. “The Efficient Use of Conditioning Information in Portfolios.” Journal of Finance, 56 (2001), 967982.CrossRefGoogle Scholar
Ferson, W. E., and Siegel, A. F.. “Stochastic Discount Factor Bounds with Conditioning Information.” Review of Financial Studies, 16 (2003), 567595.Google Scholar
Ferson, W. E., and Siegel, A. F.. “Testing Portfolio Efficiency with Conditioning Information.” Review of Financial Studies, 22 (2009), 27352758.Google Scholar
Ferson, W.; Siegel, A. F.; and Xu, T.. “Mimicking Portfolios with Conditioning Information.” Journal of Financial and Quantitative Analysis, 41 (2006), 607635.Google Scholar
Fleming, J.; Kirby, C.; and Ostdiek, B.. “The Economic Value of Volatility Timing.” Journal of Finance, 56 (2001), 329352.Google Scholar
Frost, P. A., and Savarino, J. E.. “For Better Performance: Constrain Portfolio Weights.” Journal of Portfolio Management, 15 (1988), 2934.CrossRefGoogle Scholar
Goyal, A., and Welch, I.. “Predicting the Equity Premium with Dividend Ratios.” Management Science, 49 (2003), 639654.Google Scholar
Hansen, L. P., and Richard, S. F.. “The Role of Conditioning Information in Deducing Testable Restrictions Implied by Dynamic Asset Pricing Models.” Econometrica, 55 (1987), 587613.Google Scholar
Jagannathan, R., and Ma, T.. “Risk Reduction in Large Portfolios: Why Imposing the Wrong Constraints Helps.” Journal of Finance, 58 (2003), 16511683.Google Scholar
Jobson, J. D., and Korkie, B.. “Potential Performance and Tests of Portfolio Efficiency.” Journal of Financial Economics, 10 (1982), 433466.Google Scholar
Kandel, S., and Stambaugh, R. F.. “On the Predictability of Stock Returns: An Asset-Allocation Perspective.” Journal of Finance, 51 (1996), 385424.Google Scholar
Lamont, O.Earnings and Expected Returns.” Journal of Finance, 53 (1998), 15631587.Google Scholar
Lettau, M., and Ludvigson, S.. “Consumption, Aggregate Wealth, and Expected Stock Returns.” Journal of Finance, 56 (2001), 815849.Google Scholar
Lo, A. W., and MacKinlay, A. C.. “Maximizing Predictability in the Stock and Bond Markets.” Macroeconomic Dynamics, 1 (1997), 102134.Google Scholar
Shanken, J.Multivariate Proxies and Asset Pricing Relations: Living with the Roll Critique.” Journal of Financial Economics, 18 (1987), 91110.Google Scholar