The performance of commodity trading advisors: A mean-variance-ratio test approach
Publication Type
Journal Article
Publication Date
2013
Abstract
In this paper, we provide evidence that the mean-variance-ratio (MVR)test is superior the Sharpe Ratio (SR) test by applying both tests to analyze the performance of commodity trading advisors (CTAs). The 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 over 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.
Discipline
Finance and Financial Management | Portfolio and Security Analysis
Research Areas
Finance
Publication
North American Journal of Economics and Finance
Volume
25
First Page
188
Last Page
201
ISSN
1062-9408
Identifier
10.1016/j.najef.2012.06.010
Publisher
Elsevier
Citation
BAI, Zhidong; PHOON, Kok Fai; WANG, Keyan; and WONG, Wing-Keung.
The performance of commodity trading advisors: A mean-variance-ratio test approach. (2013). North American Journal of Economics and Finance. 25, 188-201.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/3221