Determining a model to improve the performance of capital market specialists in the Tehran Stock Exchange using the fuzzy A N P method

AbstractThis research tries to determine and prioritize the effective factors on improving the performance of capital market specialists in the Tehran Stock Exchange by studying market timing and strategies for investors to make correct and responsible decisions regarding their capital. The method of conducting this research is based on the results, practical; based on Objective, descriptive; Based on the amount of researcher control, non-experimental; based on data type, quantitative; And based on the research method, it is retrospective. The sampling method was a targeted judgment method from among experts in the capital market, and finally ۱۵ people were selected. In this research, the test of the normality of the distribution was done by using the absolute value of the skewness and kurtosis of the variables, and the results indicated the normality of the data. Bartlett's test (K M O) was used to check the adequacy of the sample size. In comparing the market timing strategy models, the results showed that the season and date timing strategy, compared to the strategies of using the moving average and Sy Harding's seasonal timing, is more effective on the managers' performance and predicting the future movements of the market; But compared to Mark Walker's seasonal timing strategies and Hirsch's best six months timing (B.S.M), it has less efficiency.

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Key words: "market timing" ، "capital market experts" ، "Multi-Criteria Decision Making" ، "Scenario Design" ، "Fuzzy A N P"