 The performance of commodity trading advisors: A mean-variance-ratio test approachZhidong Bai, Kok Fai Phoon, Keyan Wang and Wing-Keung Wong The North American Journal of Economics and Finance, 2013, vol. 25, issue C, 188-201 Abstract: 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. Keywords: Sharpe ratio; Hypothesis testing; Uniformly most powerful unbiased test; Fund management (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ecofin:v:25:y:2013:i:c:p:188-201 DOI: 10.1016/j.najef.2012.06.010 Access Statistics for this article The North American Journal of Economics and Finance is currently edited by Hamid Beladi More articles in The North American Journal of Economics and Finance from Elsevier |
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