Does Mutual Fund Management in India Correspond to its Investment Objective Classification?

Author:

Agudo Luis Ferruz1,Lázaro Cristina Ortiz1

Affiliation:

1. Department of Accounting and Finance, Faculty of Economics and Business Studies, University of Zaragoza, C/Gran Vía, 2, Zaragoza, 50005, Spain

Abstract

The aim of this article is to investigate the mutual fund market in India and verify whether or not the fund classification obtained from the name given to identify them corresponds to that which would be obtained were prior management to be taken into account. This industry has undergone spectacular growth in recent years, making this study extremely interesting, not least because institutional control could be less in times of expansion. The methodologies employed in the study are factor analysis and cluster analysis. The former determines that risk would clearly identify two groups of funds in the same manner as public classification of the funds. Cluster analysis, on the other hand, identifies funds that are, in fact, very close to one another, when for the bulk of investors they are not.

Publisher

World Scientific Pub Co Pte Lt

Subject

Economics and Econometrics,Finance

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine learning fund categorizations;Proceedings of the First ACM International Conference on AI in Finance;2020-10-15

2. Mutual Funds and Risk Management;Capital Markets and Investment Decision Making;2019

3. A Window into Thai Mutual Fund Managers’ Perception and Decision-Making Process;Review of Pacific Basin Financial Markets and Policies;2017-08-14

4. Jumping over a low hurdle: personal pension fund performance;Review of Quantitative Finance and Accounting;2015-12-10

5. Identification of Factors for Investments in Mutual Funds through Banks;Asia-Pacific Journal of Management Research and Innovation;2015-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3