Department of Economics
The performance of commodity trading advisors: A mean-variance-ratio test approach
In this paper, we provide evidence that the mean-variance-ratio (MVR) test is superior to the Sharpe ratio (SR) test by applying both tests to analyze the performance of commodity trading advisors (CTAs). Our findings show that while the SR test concludes that most of the CTA funds being analyzed are indistinguishable in their performance, the MVR statistic shows that some funds outperformed others. Moreover, the SR statistic indicates that one fund significantly outperformed another even when the difference between the two funds was insignificant or even changed directions over sub-periods. Conversely, the MVR statistic can detect such changes when they occur in the sub-periods. In addition, we have conducted simulations to show that the MVR test possesses good power. © 2012 Elsevier Inc.
Fund management, Hypothesis testing, Sharpe ratio, Uniformly most powerful unbiased test
Source Publication Title
North American Journal of Economics and Finance
Bai, Zhidong, Kok Fai Phoon, Keyan Wang, and Wing-Keung Wong. "The performance of commodity trading advisors: A mean-variance-ratio test approach." North American Journal of Economics and Finance 25 (2013): 188-201.