MANAGERIAL ABILITIES AND FACTOR INVESTMENT STYLE PERFORMANCES OF MALAYSIAN MUTUAL FUND MANAGERS

Author:

Ling Pick-SoonORCID,Abdul-Rahim RuzitaORCID

Abstract

Background and Purpose: Studies focusing on mutual fund managerial abilities and investment style strategies are still scarce in the literature. Thus, this study aims to provide new evidence and insights into the managerial abilities and investment style performances of Malaysian fund managers.   Methodology: A total of 444 Malaysian equity mutual funds (EMFs) were evaluated using Carhart’s model incorporated with Treynor-Mazuy (T-M) and Henriksson-Merton (H-M) market timing models for the study period, from January 1995 to December 2017.   Findings: Fund managers displayed superior stock selection skills with 32 percent and 43 percent of funds for T-M and H-M respectively, with perverse market timing ability which accounted for 39 percent and 42 percent of funds for T-M and H-M respectively. Perverse timing ability had reduced the superior stock-picking skills of fund managers. This suggests that the EMFs performance could further improve if respective fund managers perform better in market timing ability. The finding also indicates that size effect (SMB) and value effect (HML) play significant roles in investment style strategies, while results of momentum factor (WML) propose that Malaysian fund managers have followed the contrarian strategy.   Contributions: This study contributes in several ways especially in the literature of portfolio management as the evidence is obtained from the largest mutual funds sample size and the longest study period. Moreover, this study also used the highest frequency data to study the effects of market timing which were overlooked in previous studies.   Keywords: Adjusted carhart, Malaysian market, market timing, mutual fund, stock selection.   Cite as: Ling, P-S., & Abdul-Rahim, R. (2021). Managerial abilities and factor investment style performances of Malaysian mutual funds.  Journal of Nusantara Studies, 6(1), 118-135. http://dx.doi.org/10.24200/jonus.vol6iss1pp118-135

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SciTech Solutions

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