Recent research has demonstrated that many mean-variance and shortfall-based optimal portfolio selection fail to out-perform the Naive (1/n) Portfolio in out-of-sample testing. This paper revisits this line of inquiry by applying the Naive and Sharpe Portfolios to 1100 sector-specific S&P 500 re-sampled data sets from the 2007-2021 time frame. Using April 2020 as the baseline train-test split break point, the Naive Portfolio delivers statistically significantly superior Sharpe Ratios in the test data in ten of the eleven sectors. However, the Sharpe Portfolio delivers statistically significantly superior shortfall values in all eleven sectors in the test data. Using March 2020 and May 2020 as alternative breakpoints gave similar results to the baseline analysis. Interestingly, when the data set was truncated at February 2020 (i.e., before the Covid correction) the Sharpe Portfolio returned statistically significantly better Sharpe Ratios than the Naïve Portfolio in the test data in all but the Energy sector; as in the baseline analysis, the Sharpe Portfolio returned statistically significantly superior shortfall values for all eleven sectors. Thus, the Sharpe Portfolio can deliver acceptable out-of-sample performance, but the conditions for success appear to vary by sector and test data erraticism.
Haley, M. R. (2025). Sector-Level Out-of-Sample Performance of the Naive and Sharpe Portfolios Using a Covid-Correction Breakpoint. Financial Economics Letters, 4(1), 42. doi:10.58567/fel04010003
ACS Style
Haley, M. R. Sector-Level Out-of-Sample Performance of the Naive and Sharpe Portfolios Using a Covid-Correction Breakpoint. Financial Economics Letters, 2025, 4, 42. doi:10.58567/fel04010003
AMA Style
Haley M R. Sector-Level Out-of-Sample Performance of the Naive and Sharpe Portfolios Using a Covid-Correction Breakpoint. Financial Economics Letters; 2025, 4(1):42. doi:10.58567/fel04010003
Chicago/Turabian Style
Haley, M. R. 2025. "Sector-Level Out-of-Sample Performance of the Naive and Sharpe Portfolios Using a Covid-Correction Breakpoint" Financial Economics Letters 4, no.1:42. doi:10.58567/fel04010003
Share and Cite
ACS Style
Haley, M. R. Sector-Level Out-of-Sample Performance of the Naive and Sharpe Portfolios Using a Covid-Correction Breakpoint. Financial Economics Letters, 2025, 4, 42. doi:10.58567/fel04010003
AMA Style
Haley M R. Sector-Level Out-of-Sample Performance of the Naive and Sharpe Portfolios Using a Covid-Correction Breakpoint. Financial Economics Letters; 2025, 4(1):42. doi:10.58567/fel04010003
Chicago/Turabian Style
Haley, M. R. 2025. "Sector-Level Out-of-Sample Performance of the Naive and Sharpe Portfolios Using a Covid-Correction Breakpoint" Financial Economics Letters 4, no.1:42. doi:10.58567/fel04010003
APA style
Haley, M. R. (2025). Sector-Level Out-of-Sample Performance of the Naive and Sharpe Portfolios Using a Covid-Correction Breakpoint. Financial Economics Letters, 4(1), 42. doi:10.58567/fel04010003
Article Metrics
Article Access Statistics
References
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. https://doi.org/10.1093/rfs/hhm075
Haley, M. (2008). A Simple Nonparametric Approach to Low-Dimension, Shortfall-Based Portfolio Selection. Finance Research Letters 5, 183--190. https://doi.org/10.1016/j.frl.2008.04.002
Haley, M. (2016). Shortfall Minimization and the Naive (1/N) Portfolio: An Out-of-Sample Comparison. Applied Economics Letters 23, 926–929. https://doi.org/10.1080/13504851.2015.1119788
Haley, M. (2017). K-Fold Cross Validation Performance Comparisons of Six Naive Portfolio Selection Rules: How Naive Can You Be and Still Have Successful Out-of-Sample Portfolio Performance?. Annals of Finance 13, 341--358. https://doi.org/10.1007/s10436-017-0301-4
Haley, M. R. (2018). A Moment-Free Nonparametric Quantity-of-Quality Approach to Optimal Portfolio Selection: A Role for Endogenous Shortfall and Windfall Boundaries?. Journal of the Operational Research Society 69, 1678-1687.
Haley, M., and Whiteman, C. (2008). Generalized Safety First and a New Twist on Portfolio Performance. Econometric Reviews 27, 457--485. https://doi.org/10.1080/07474930801960360
Hwang, I., Xu, S., and In, F. (2018). Naive Versus Optimal Diversification: Tail risk and Performance. European Journal of Operational Research 265, 372-388. https://doi.org/10.1016/j.ejor.2017.07.066
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. https://doi.org/10.1017/S0022109012000117
Platanakis, E., Sutcliffe, C., and Ye, X. (2021). Horses for courses: Mean-variance for asset allocation and 1/N for stock selection. European Journal of Operational Research, 288, 302-317.
Roy, A. (1952). Safety First and the Holding of Assets. Econometrica, 20, 431--449.
Sharpe, W. (1994). The Sharpe Ratio. Journal of portfolio management, 21, 49-58.
Stutzer, M. (2000). A Portfolio Performance Index. Financial Analysts Journal, May/June, 52--61.