开放式共同基金计划对印度共同基金行业的效率衡量

S. Goel, Mukta Mani
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引用次数: 2

摘要

本文考察了印度共同基金的绩效是否有效,并探讨了提高共同基金绩效的纠正措施。本文采用数据包络分析(DEA)方法对143个共同基金计划进行了11年的分析,并进行了5次DEA运行。夏普比率和詹森α是产出,而负荷费、费用率、最小初始投资和风险(β和α)是投入。实证分析表明,有效运行的共同基金计划较少,需要降低它们的负荷和费用率。有效方案最多的是ELSS投资类型,其次是Income, Growth和Balance。DEA为每个低效方案提供了一组对等组,并计算了投入的目标值。本研究是一项详尽的研究,对散户投资者、共同基金公司和政策制定者都有帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficiency measurement of open-ended mutual fund schemes with respect to Indian mutual fund industry
This paper investigates whether Indian mutual funds are performing efficiently and explores the corrective measures to improve their performance. It analyses 143 mutual fund schemes for 11 years through Data Envelopment Analysis (DEA) methodology by carrying out five DEA runs. Sharpe ratio and Jensen's alpha are the output and load fee, expense ratio, minimum initial investment needed and risk (β and α) are the inputs. Empirical analysis shows that fewer mutual fund schemes are performing efficiently and need to reduce their load and expense ratio. Also, maximum number of efficient schemes is of ELSS investment style followed by Income, Growth and Balance. DEA provides a set of peer group for each inefficient scheme and the targeted value of inputs has been computed. The present study is an exhaustive one and is useful for retail investors, mutual fund companies and policy makers.
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