On the Combination of Naive and Mean-Variance Portfolio Strategies

References

• Ao, M., Li, Y., and Zheng, X. (2019), “Approaching Mean-Variance Efficiency for Large Portfolios,” The Review of Financial Studies, 32, 2890–2919. DOI: 10.1093/rfs/hhy105.
   Web of Science ®Google Scholar
• Barroso, P. and Saxena, K. (2021), “Lest We Forget: Using Out-of-Sample Forecast Errors in Portfolio Optimization,” The Review of Financial Studies, 35, 1222–1278. DOI: 10.1093/rfs/hhab041.
   Web of Science ®Google Scholar
• Bodnar, T., Okhrin, Y., and Parolya, N. (2023), “Optimal Shrinkage-based Portfolio Selection in High Dimensions,” Journal of Business & Economic Statistics, 41, 140–156. DOI: 10.1080/07350015.2021.2004897.
   Web of Science ®Google Scholar
• Bodnar, T., Parolya, N., and Schmid, W. (2018), “Estimation of the Global Minimum Variance Portfolio in High Dimensions.” European Journal of Operational Research, 266, 371–390. DOI: 10.1016/j.ejor.2017.09.028.
   Web of Science ®Google Scholar
• DeMiguel, V., Garlappi, L., and Uppal, R. (2009), “Optimal versus Naive Diversification: How Inefficient is the 1/N Portfolio Strategy?” The Review of Financial Studies, 22, 1915–1953. DOI: 10.1093/rfs/hhm075.
   Web of Science ®Google Scholar
• DeMiguel, V., Martín-Utrera, A., and Nogales, F. (2015), “Parameter Uncertainty in Multiperiod Portfolio Optimization with Transaction Costs,” Journal of Financial and Quantitative Analysis, 50, 1443–1471. DOI: 10.1017/S002210901500054X.
   Web of Science ®Google Scholar
• El Karoui, N. (2010), “High-Dimensionality Effects in the Markowitz Problem and Other Quadratic Programs with Linear Constraints: Risk Underestimation,” The Annals of Statistics, 38, 3487–3566. DOI: 10.1214/10-AOS795.
   Web of Science ®Google Scholar
• ———(2013), “On the Realized Risk of High-Dimensional Markowitz Portfolios,” SIAM Journal on Financial Mathematics, 4, 737–783.
   Web of Science ®Google Scholar
• Hansen, P., Lunde, H., and Nason, J. (2011), “The Model Confidence Set,” Econometrica, 79, 453–497.
   Web of Science ®Google Scholar
• Kan, R., and Smith, D. (2008), “The Distribution of the Sample Minimum-Variance Frontier,” Management Science, 54, 1364–1380. DOI: 10.1287/mnsc.1070.0852.
   Web of Science ®Google Scholar
• Kan, R., and Wang, X. (2023), “Optimal Portfolio Choice with Unknown Benchmark Efficiency,” Management Science, forthcoming.
   PubMed Web of Science ®Google Scholar
• Kan, R., Wang, X., and Zhou, G. (2022), “Optimal Portfolio Choice with Estimation Risk: No Risk-Free Asset Case,” Management Science, 68, 2047–2068. DOI: 10.1287/mnsc.2021.3989.
   Web of Science ®Google Scholar
• Kan, R., and Zhou, G. (2007), “Optimal Portfolio Choice with Parameter Ucertainty,” Journal of Financial and Quantitative Analysis, 42, 621–656. DOI: 10.1017/S0022109000004129.
   Web of Science ®Google Scholar
• Kirby, C., and Ostdiek, B. (2012), “It’s All in the Timing: Simple Active Portfolio Strategies that Outperform Naïve Diversification,” Journal of Financial and Quantitative Analysis, 47, 437–467. DOI: 10.1017/S0022109012000117.
   Web of Science ®Google Scholar
• Lassance, N., Martín-Utrera, A., and Simaan, M. (2023), “The Risk of Expected Utility Under Parameter Uncertainty,” Management Science, forthcoming.
   PubMedGoogle Scholar
• Ledoit, O., and Wolf, M. (2004), “A Well-Conditioned Estimator for Large-Dimensional Covariance Matrices,” Journal of Multivariate Analysis, 88, 365–411. DOI: 10.1016/S0047-259X(03)00096-4.
   Web of Science ®Google Scholar
• ———(2008), “Robust Performance Hypothesis Testing with the Sharpe Ratio,” Journal of Empirical Finance, 15, 850–859.
   Web of Science ®Google Scholar
• ———(2020), “Analytical Nonlinear Shrinkage of Large-Dimensional Covariance Matrices,” The Annals of Statistics, 48, 3043–3065.
   Web of Science ®Google Scholar
• Markowitz, H. (1952), “Portfolio Selection,” The Journal of Finance, 7, 77–91. DOI: 10.2307/2975974.
   Web of Science ®Google Scholar
• Martellini, L., and Ziemann, V. (2010), “Improved Estimates of Higher-Order Comoments and Implications for Portfolio Selection,” The Review of Financial Studies, 23, 1467–1502. DOI: 10.1093/rfs/hhp099.
   Web of Science ®Google Scholar
• Politis, D., and Romano, J. (1994), “The Stationary Bootstrap,” Journal of the American Statistical Association, 89, 1303–1313. DOI: 10.1080/01621459.1994.10476870.
   Web of Science ®Google Scholar
• Tu, J., and Zhou, G. (2004), “Data-Generating Process Uncertainty: What Difference Does It Make in Portfolio Decisions?” Journal of Financial Economics, 72, 385–421. DOI: 10.1016/j.jfineco.2003.05.003.
   Web of Science ®Google Scholar
• ———(2011), “Markowitz Meets Talmud: A Combination of Sophisticated and Naive Diversification Strategies,” Journal of Financial Economics, 99, 204–215.
   Web of Science ®Google Scholar