Analyzing the Performance of Pakistan Equity Mutual Funds Using Multifactor Models: Pre-COVID Analysis

Muhammad Danial, Nadia Iftikhar, Syed Quaid Ali Shah
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Abstract

Previous literature has primarily focused on examining the determinants that impact mutual fund returns in developed and emerging economies. However, there is a dearth of empirical research on how multifactor models are associated with mutual fund returns in underdeveloped economies. The inconsistent literature regarding the efficiency of the literature posed a question of whether the fund managers can generate extra returns for the investors. To address this research gap, this study aims to analyze mutual fund returns using multifactor models, specifically the Capital Asset Pricing Model (CAPM), Fama-French three-factor model, Carhart four-factor model, Treynor-Mazuy and Fama Net-Selectivity. The first three models analyze the funds with four factors: market factor, growth factor, value factor and momentum factor. The results of the study indicate that the risk premium factor plays a crucial role in understanding mutual fund returns, as it exhibits significant value across all three models. However, the value and size factors were found to be insignificant in both the Fama-French and Carhart models. Additionally, the momentum factor was not significant in the Carhart model. Notably, the significant alpha observed in all multifactor models suggests the skill of mutual fund managers, which was further confirmed using the Treynor-Mazuy and Fama Net-Selectivity models to assess their timing and selectivity abilities in actively managed funds. Furthermore, the finding of the study suggests the inefficiency of the market. The investors could earn extra return from their investments. However, the managers play important role in generating the abnormal returns as suggested by Treynor-Mazuy and Fama Net-selectivity model significance. In addition to that, investors should consider the market risk premium in their investment returns.
利用多因素模型分析巴基斯坦股票共同基金的业绩:COVID前分析
以往的文献主要侧重于研究影响发达经济体和新兴经济体共同基金收益的决定因素。然而,关于多因素模型如何与欠发达经济体的共同基金回报相关联的实证研究却十分匮乏。有关效率的文献不一致,这就提出了一个问题,即基金经理能否为投资者带来额外回报。针对这一研究空白,本研究旨在利用多因子模型分析共同基金的回报,特别是资本资产定价模型(CAPM)、法玛-弗伦奇三因素模型、卡哈特四因素模型、特雷诺-马祖伊模型和法玛净选择性模型。前三个模型分析了基金的四个因子:市场因子、增长因子、价值因子和动量因子。研究结果表明,风险溢价因子在理解共同基金收益方面起着至关重要的作用,因为它在所有三个模型中都表现出显著的价值。然而,在 Fama-French 模型和 Carhart 模型中,价值和规模因子都不显著。此外,动量因子在 Carhart 模型中也不显著。值得注意的是,在所有多因子模型中观察到的显著阿尔法表明了共同基金经理的技能,这一点通过使用 Treynor-Mazuy 和 Fama 净选择性模型来评估他们在主动管理基金中的择时和选择能力得到了进一步证实。此外,研究结果表明市场效率低下。投资者可以从投资中获得额外回报。然而,正如 Treynor-Mazuy 和 Fama 净选择性模型的显著性所表明的那样,基金经理在产生异常回报方面发挥着重要作用。此外,投资者还应在投资收益中考虑市场风险溢价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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