The performance of commodity trading advisors: A mean-variance-ratio test approach

Zhidong Bai*, Kok Fai Phoon, Keyan Wang, Wing Keung WONG

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)188-201
Number of pages14
JournalNorth American Journal of Economics and Finance
Volume25
DOIs
Publication statusPublished - Aug 2013

Scopus Subject Areas

  • Finance
  • Economics and Econometrics

User-Defined Keywords

  • Fund management
  • Hypothesis testing
  • Sharpe ratio
  • Uniformly most powerful unbiased test

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