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COMPARISON OF INVESTMENT PERFORMANCE MEASURES USING THE EXAMPLE OF SELECTED STOCK EXCHANGES

Abstract

In the following paper, the main objective is to examine whether the selection of the performance measure influences the evaluation of individual investments and the performance rankings generated on that basis. This study presents the values of 16 performance indicators along with their detailed descriptions. All calculations were made using the R program, and the source code can be found at the end of the article. Nine selected stock indices were analysed during the period January 1997–December 2015, and the monthly logarithmic rates of return for these indices were calculated. For 14 out of the 16 measures analysed, it was shown that the choice of effectiveness measure had no influence on the evaluation of individual investments; therefore, it is not important whether the investor uses the Sharpe ratio or the Calmar ratio as an indicator of efficiency, since both measures are almost identical in rank for a particular investment. This has not been confirmed for the Upside Potential ratio, which means that using this indicator may lead to different investment decisions in which the objective is to maximize efficiency. Moreover, based on the analysis, it was found that the OMXC 20, DAX 30, and OMXS 30 indexes had the highest efficiency during the period January 1997–December 2015, while the AEX, WIG 20, and PSI 20 indexes were characterized with having the lowest levels of efficiency.

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Category:
Articles
Type:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:
Nauki o Finansach. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu no. 23, pages 30 - 46,
ISSN: 2080-5993
Language:
English
Publication year:
2018
Bibliographic description:
Potrykus M.: COMPARISON OF INVESTMENT PERFORMANCE MEASURES USING THE EXAMPLE OF SELECTED STOCK EXCHANGES// Nauki o Finansach. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu. -Vol. 23., iss. 2 (2018), s.30-46
DOI:
Digital Object Identifier (open in new tab) 10.15611/fins.2018.2.03
Verified by:
Gdańsk University of Technology

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