Risk-return based performance evaluation of stocks in BIST 100 and KOMPAS 100 indices of Borsa Istanbul and Indonesian stock exchange

1Citations
Citations of this article
19Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This study aims to provide empirical insights into stocks' performance in the BIST 100 index of Borsa Istanbul and KOMPAS 100 index of the Indonesian Stock Exchange. The risk-free rates and top 100 stocks closing price data of Borsa Istanbul (BIST) and Indonesia Stock Exchange (IDX) have been examined. The Daily data between July 1, 2015, and June 30, 2020 are used. The Sharpe ratio and normal distribution tests are employed in the analysis. The study results have revealed that the portfolio's return consisting of positive low-five and top-five average Sharpe ratio stocks generally has beaten the indices under review except that a positive low-five average Sharpe ratio stocks portfolio built from KOMPAS 100 constituents during bearish market. Besides, the average Sharpe ratio of each stock in the positive low-five and top-five portfolio has been greater than the average Sharpe ratio of the indices. Moreover, the portfolio's return with the positive top-five average ratio Sharpe ratio stocks has outperformed the portfolio's return with positive low-five average Sharpe ratio stocks. We recommend that the Sharpe ratio is computed every six months or three months for BIST 100 and KOMPAS 100 stocks since the return data follow a more normal distribution in shorter periods.

Cite

CITATION STYLE

APA

Öcal, H., & Kamil, A. A. (2021). Risk-return based performance evaluation of stocks in BIST 100 and KOMPAS 100 indices of Borsa Istanbul and Indonesian stock exchange. Scientific Papers of the University of Pardubice, Series D: Faculty of Economics and Administration, 29(2). https://doi.org/10.46585/SP29021283

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free