
This paper tried to analyze the performance of the investment companies listed in Tehran Stock Exchange that had active portfolio management from 2006 to 2010 by Sharp, Treynor, and Sortino ratios. For more profound study of their performances, this research used some of the measures, including turnover, liquidity, size and diversification of portfolio. After gathering needed test data and relevant statistical tests as Kolmogorov-Smirnov and Shapiro-Wilk, the results showed the distribution of data was not normal. Therefore, the hypothesis was tested by nonparametric tests. The results of the first hypothesis about the three mentioned above ratios and with Freidman and Wilcoxen tests showed the companies had better controls on systematic risk than other components. The result of the second hypothesis by using combined Anova and Multiple Anova showed portfolio turnover in the companies had positive and significant affect in the companies performances than other measures.It is possiblefor anyone to be able to find a company that has a high level of portfolio turnover and a high level of performance than other companies while it has a lower level of other measures.
This paper analyzes the performance of investment companies listed on the Tehran Stock Exchange that engaged in active portfolio management from 2006 to 2010, using the Sharpe, Treynor, and Sortino ratios. To gain a deeper understanding of their performance, the study also incorporates additional measures, including portfolio turnover, liquidity, size, and diversification. After collecting the necessary test data, statistical tests such as Kolmogorov-Smirnov and Shapiro-Wilk were conducted, revealing that the data distribution was not normal. Consequently, the hypotheses were tested using nonparametric methods. The findings of the first hypothesis, evaluated using Friedman and Wilcoxon tests, indicate that the companies demonstrated stronger control over systematic risk compared to other risk components. The results of the second hypothesis, analyzed using a combination of ANOVA and Multiple ANOVA, suggest that portfolio turnover had a more significant and positive impact on company performance than the other evaluated measures. This implies that investors can identify companies with high portfolio turnover and superior performance, even when other measures, such as liquidity and diversification, are relatively lower.
Loading comments…