Mutual Fund Performance and Persistence in Taiwan: A Non-Parametric Approach
Chi-Sheng Hsu and
Jwu-Rong Lin
The Service Industries Journal, 2007, vol. 27, issue 5, 509-523
Abstract:
This paper applies data envelopment analysis (DEA) to measure the performance of Taiwan domestic equity funds during the period 1999 to 2003. To test performance persistence, we first divide the sample funds into low efficiency (0--25th percentile), middle efficiency (26th--75th percentile), and high efficiency (76th--100th percentile) groups according to their rankings on technical efficiency (TE) and Sharpe ratios, respectively. Then, based on the previous one-, two-, and three-year performances of the sample funds, we employ iterative seemingly unrelated regressions to analyse the persistence of sample fund performance. The results show that there exists a significant ‘hot hands’ effect in Taiwan domestic equity funds under the TE measure, but not under the measure of Sharpe ratios. The paper concludes that the different results in performance persistence analyses between the above two measures is driven by the DEA taking transaction costs into consideration.
Date: 2007
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://hdl.handle.net/10.1080/02642060701411658 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:servic:v:27:y:2007:i:5:p:509-523
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/FSIJ20
DOI: 10.1080/02642060701411658
Access Statistics for this article
The Service Industries Journal is currently edited by Eileen Bridges, Professor Domingo Ribeiro, Ronald Goldsmith, Barry Howcroft and Youjae Yi
More articles in The Service Industries Journal from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().