African Journal of
Business Management

  • Abbreviation: Afr. J. Bus. Manage.
  • Language: English
  • ISSN: 1993-8233
  • DOI: 10.5897/AJBM
  • Start Year: 2007
  • Published Articles: 4192

Full Length Research Paper

An application of logistic regression to find outstanding fund managers

Che-Yang Lin 1, Ya-Chen Hsu2* and Meng-Chun Kao1
  1Department of Finance, Yuanpei University, 306, Yuanpei Street, Hsinchu City 30015, Taiwan. 2Department of Business Administration, Yuanpei University, 306, Yuanpei Street, Hsinchu City 30015, Taiwan.
Email: [email protected]

  •  Accepted: 16 June 2010
  •  Published: 18 April 2011

Abstract

 

This paper investigates how mutual fund managers’ characteristics influence their funds performance. The majority of mutual funds available to Taiwan investors are actively managed. Apparently, investors will expect the active equity fund managers to provide better performance than passive managers do. We apply logistic regression, which adopt the performance of Polaris Taiwan Top 50 Tracker Fund (TTT) as the benchmark, to examine the relationship between fund managers’ characteristics and fund performance. The results show that fund size and the fund manager’s gender, seniority, and educational background significantly influence fund performance. All else equal, investors can expect higher odds for their fund performance beating TTT if their funds are managed by a female or a senior fund manager, or by a manager graduated from domestic public college or from overseas college.

 

Key words: Polaris Taiwan top 50 tracker fund, logistic regression, mutual fund performance, mutual fund manager.