INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Tracking efficiency which is measured in terms of tracking error serves as an additional criterion while evaluating and selecting an index exchange traded fund. However, there is no universally accepted tracking error measure and use of alternative measures may lead to different selection by investors. The present study investigates the tracking efficiency of select Indian Index Exchange Traded Funds listed in National Stock Exchange based on daily NAV of ETFs for a five-year period from 1.1.2016 - 31.12.2020. Kendall’s coefficient of concordance is calculated and tested for statistical significance. M50 index ETF appears to be the best among the lot for each of the sample years as well as for the overall period. The result clearly indicates that there is no association among the ranks given by different methods of measuring tracking error and hence the methods are independent. As a result, the investors need to exercise additional caution in using any one particular method over the others as this may involve error in selecting an efficient fund.
Keywords:
Tracking efficiency, Tracking error, Exchange Traded Funds, National Stock Exchange
Cite Article:
"Impact of Tracking Efficiency Measures on Selection of ETFs – A Study ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 8, page no.d130-d136, August-2023, Available :http://www.ijnrd.org/papers/IJNRD2308331.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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