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Understanding Portfolio Efficiency with Conditioning Information

Published online by Cambridge University Press:  29 July 2016

Francisco Peñaranda
Francisco Peñaranda*
Affiliation:
francisco.penaranda@qc.cuny.edu, Queens College, City University of New York, Economics Department, Flushing, NY 11367.
*
*Corresponding author: francisco.penaranda@qc.cuny.edu
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Abstract

I develop two new types of portfolio efficiency when returns are predictable. The first type maximizes the unconditional Sharpe ratio of excess returns and differs from unconditional efficiency unless the safe asset return is constant over time. The second type maximizes conditional mean-variance preferences and differs from unconditional efficiency unless, additionally, the maximum conditional Sharpe ratio is constant. Using stock data, I quantify and test their performance differences with respect to unconditionally and fixed-weight efficient returns. I also show the relevance of the two new portfolio strategies to test conditional asset pricing models.

Type
Research Articles
Information
Journal of Financial and Quantitative Analysis , Volume 51 , Issue 3 , June 2016 , pp. 985 - 1011
Copyright
Copyright © Michael G. Foster School of Business, University of Washington 2016 

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References

Abhyankar, A.; Basu, D.; and Stremme, A.. “The Optimal Use of Return Predictability: An Empirical Study.” Journal of Financial and Quantitative Analysis, 47 (2012), 973–1001.CrossRefGoogle Scholar
Avramov, D., and Chordia, T.. “Predicting Stock Returns.” Journal of Financial Economics, 82 (2006), 387–415.Google Scholar
Bansal, R.; Dahlquist, M.; and Harvey, C. R.. “Dynamic Strategies and Portfolio Choice.” National Bureau of Economic Research Working Paper 10820 (2004).CrossRefGoogle Scholar
Basak, S., and Chabakauri, G.. “Dynamic Mean-Variance Asset Allocation.” Review of Financial Studies, 23 (2010), 2970–3016.Google Scholar
Bollerslev, T. “Modelling the Coherence in Short-Run Nominal Exchange Rates: A Multivariate Generalized ARCH Model.” Review of Economics and Statistics, 72 (1990), 498–505.Google Scholar
Brandt, M. W., and Santa-Clara, P.. “Dynamic Portfolio Selection by Augmenting the Asset Space.” Journal of Finance, 61 (2006), 2187–2217.Google Scholar
Brunnermeier, M. K. Asset Pricing under Asymmetric Information: Bubbles, Crashes, Technical Analysis, and Herding. Oxford, UK: Oxford University Press (2001).CrossRefGoogle Scholar
Chiang, I.-H. E. “Modern Portfolio Management with Conditioning Information.” Journal of Empirical Finance, 33 (2015), 114–134.CrossRefGoogle Scholar
Dybvig, P. H., and Ross, S. A.. “Differential Information and Performance Measurement Using a Security Market Line.” Journal of Finance, 40 (1985), 383–399.Google Scholar
Easley, D., and O’Hara, M.. “Information and the Cost of Capital.” Journal of Finance, 59 (2004), 1553–1583.CrossRefGoogle Scholar
Fama, E. F., and French, K. R.. “Common Risk Factors in the Returns on Stock and Bonds.” Journal of Financial Economics, 33 (1993), 3–56.CrossRefGoogle Scholar
Ferson, W. E., and Siegel, A. F.. “The Efficient Use of Conditioning Information in Portfolios.” Journal of Finance, 56 (2001), 967–982.Google Scholar
Ferson, W. E., and Siegel, A. F.. “Testing Portfolio Efficiency with Conditioning Information.” Review of Financial Studies, 22 (2009), 2735–2758.CrossRefGoogle Scholar
Ferson, W. E.; Siegel, A. F.; and Xu, P.. “Mimicking Portfolios with Conditioning Information.” Journal of Financial and Quantitative Analysis, 41 (2006), 607–636.Google Scholar
Gibbons, M. R.; Ross, S. A.; and Shanken, J.. “A Test of the Efficiency of a Given Portfolio.” Econometrica, 57 (1989), 1121–1152.Google Scholar
Hansen, L. P. “Large Sample Properties of Generalized Method of Moments Estimators.” Econometrica, 50 (1982), 1029–1054.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), 587–613.Google Scholar
Jagannathan, R. “Relation between the Slopes of the Conditional and Unconditional Mean-Standard Deviation Frontiers of Asset Returns.” In Modern Portfolio Theory and Its Applications, Saito, S., Sawaki, K., and Kubota, K., eds. Osaka, Japan: Center for Academic Societies (1996).Google Scholar
Jensen, M. C. “The Performance of Mutual Funds in the Period 1945–1964.” Journal of Finance, 23 (1968), 389–416.Google Scholar
Jobson, J. D., and Korkie, B.. “Potential Performance and Tests of Portfolio Efficiency.” Journal of Financial Economics, 10 (1982), 433–466.CrossRefGoogle Scholar
Johannes, N.; Korteweg, A.; and Polson, N.. “Sequential Learning, Predictive Regressions and Optimal Portfolios.” Journal of Finance, 69 (2014), 611–644.Google Scholar
Ledoit, O., and Wolf, M.. “Robust Performance Hypothesis Testing with the Sharpe Ratio.” Journal of Empirical Finance, 15 (2008), 850–859.Google Scholar
Lettau, M., and Ludvigson, S.. “Resurrecting the (C)CAPM: A Cross-Sectional Test When Risk Premia Are Time-Varying.” Journal of Political Economy, 109 (2001), 1238–1287.CrossRefGoogle Scholar
Lewellen, J., and Nagel, S.. “The Conditional CAPM Does Not Explain Asset-Pricing Anomalies.” Journal of Financial Economics, 82 (2006), 289–314.CrossRefGoogle Scholar
Lintner, J. “The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets.” Review of Economics and Statistics, 47 (1965), 13–37.Google Scholar
Markowitz, H. “Portfolio Selection.” Journal of Finance, 7 (1952), 77–99.Google Scholar
Mossin, J. “Equilibrium in a Capital Asset Market.” Econometrica, 34 (1966), 768–783.Google Scholar
Newey, W., and West, K.. “A Simple Positive Definite Heteroskedasticity and Autocorrelation Consistent Covariance Matrix.” Econometrica, 55 (1987), 703–705.Google Scholar
Peñaranda, F., and Sentana, E.. “Inferences about Portfolio and Stochastic Discount Factor Mean-Variance Frontiers.” Working Paper, Pompeu Fabra University (2011).CrossRefGoogle Scholar
Peñaranda, F., and Sentana, E.. “Spanning Tests in Portfolio and Stochastic Discount Factor Mean-Variance Frontiers: A Unifying Approach.” Journal of Econometrics, 170 (2012), 303–324.Google Scholar
Sharpe, W. F. “Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk.” Journal of Finance, 19 (1964), 425–442.Google Scholar
Sharpe, W. F. “Mutual Fund Performance.” Journal of Business, 39 (1966), 119–138.Google Scholar
Sharpe, W. F. “The Sharpe Ratio.” Journal of Portfolio Management, 21 (1994), 49–58.CrossRefGoogle Scholar
Stevens, G. V. G. “On the Inverse of the Covariance Matrix in Portfolio Analysis.” Journal of Finance, 53 (1998), 1821–1827.CrossRefGoogle Scholar
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