印度共同基金业自上而下投资技巧与基金alpha的实证研究

P. Malhotra, P. Sinha
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引用次数: 1

摘要

共同基金是印度第二大最受欢迎的投资选择,并引起了相当大的研究兴趣。迄今为止,印度研究的重点一直局限于自下而上的投资方法,这种方法奖励基金经理挑选赢家股票,并产生更高的回报。虽然根据不同的宏观趋势改变投资组合的分配有助于产生较高的回报,但却没有得到应有的重视。这项研究填补了这一重要的研究空白。本文通过将alpha分解为行业选择的alpha和股票选择的alpha,分析了基金经理在稳健样本上的行业选择能力。Alpha估计值是在2011年至2020年10年期的34只开放式印度股票共同基金的稳健样本上计算的,使用三种资产定价基本模型——面板数据方法下的单因素、四因素和五因素Alpha。这项研究给我们带来了四个主要发现。首先,行业选择在横截面和时间序列回报中解释了超过五分之二的alpha;第二,行业选择在资产定价模型中表现出超过四个季度的持久性;第三,在选择正确行业的alpha方面,较年轻的基金有公平的竞争;第四,广泛的行业配置继续解释了高回报,因为在持续的COVID-19大流行期间,行业配置经历了整合,基金增加了对防御性股票的敞口,这与宏观经济条件下的投资组合配置一致。研究的局限性/启示作者发现了强有力的证据表明,在阿尔法的情况下,可归因于行业选择成分的持久性,这一发现与实证文献报道的持久性结果一致。虽然一些基金在选股技巧上更胜一筹,而另一些则擅长选择正确的行业,但这两种技能加在一起会造就赢家基金,吸引更多的投资者流入,因为投资者追求卓越的业绩。作者还发现,在基金经理产生的行业配置alpha的情况下,没有证据表明存在规模不经济。研究结果为投资者在共同基金投资决策中提供了一种新的方法;通过评估行业选择技巧,投资者可以获得更高的回报,因为它往往提供了一个更全面的画面,涉及一个长期存在的问题——为什么有些基金表现优异,并继续为投资者的财富做出贡献?由于金融知识普及程度低,共同基金已成为印度投资者青睐的一种投资选择,而作为一种有纪律的投资选择,共同基金更受青睐。这项研究揭示了选择赢家基金的一个相对未解决的维度。随着大流行的开始,正确部门分配的重要性变得更加重要,这进一步证明了研究结果的可信性。原创性/价值研究是从一个被广泛引用的印度共同基金数据库中提取的二手数据进行的。实证分析和得出的结论是建立在真实的统计分析基础上的,是对现有文献的补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Top-bottom investing skill and the fund alpha in Indian mutual fund industry: an empirical investigation
PurposeMutual funds are the second most preferred investment option in India and have garnered considerable research interest. The focus of Indian studies thus far has been restricted to the bottom-up approach of investing which rewards a fund manager for picking winner stocks and generates superior returns. While changing portfolio allocation as per varying macro-trends has been instrumental in generating superior returns, it has not been given the desired attention. This study addresses this important research gap.Design/methodology/approachThe authors analyze the industry selection ability of the fund manager on a robust sample by decomposing alpha into alpha due to industry selection and alpha attributable to stock selection. Alpha estimates are computed on a robust sample of 34 open-ended Indian equity mutual funds for a 10-year duration 2011–2020 using three base models of asset pricing – single-factor, four-factor and five-factor alpha under panel data methodology.FindingsThe study leads us to four major findings. One, industry selection explains more than two-fifth of the alpha both in cross-section and time series of returns; two, industry selection exhibits persistence for more than four quarters across asset pricing model; third, younger funds have level playing when alpha from picking right industries is concerned; four, broad industry allocation continues to explain superior returns as sector allocation undergoes consolidation during ongoing COVID-19 pandemic and funds increase exposure to defensive stocks, consistent with folio allocations as per macroeconomic conditions.Research limitations/implicationsThe authors find strong evidence of persistence in the case of alpha attributable to the industry selection component, and the findings are consistent with the persistence results reported in the empirical literature. While some funds excel in stock-picking skills and others excel in picking the right industries, both skills together make for winner funds that attract larger investor flows as investors chase superior performance. The authors also find no evidence of diseconomies of scale in the case of industry allocation alpha generated by the fund managers.Practical implicationsThe results suggest a fresh approach for investors while making mutual fund investment decisions; the investors can achieve superior returns by assessing industry selection skills as it tends to provide a more holistic picture concerning a perennial question – why some funds outperform and continue to contribute to investor's wealth?Social implicationsMutual funds have become a favored investment option for Indian investors more so as a disciplined investment option owing to dismal financial literacy rates. The study throws light on a relatively unaddressed dimension of choosing winner funds. The significance of right sector allocation assumed even more significance with the onset of the pandemic which lends further credence to the findings of the study.Originality/valueResearch has been conducted on secondary data extracted from a well-cited database for Indian mutual funds. Empirical analysis and conclusion drawn are based on authentic statistical analysis and adds to the existing literature.
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