Selection of optimum methods which have appropriate speed and precision for planning and de-cision-making has always been a challenge for investors and managers. One the most important concerns for them is investment planning and optimization for acquisition of desirable wealth under controlled risk with the best return. This paper proposes a model based on Markowitz the-orem by considering the aforementioned limitations in order to help effective decisions-making for portfolio selection. Then, the model is investigated by fuzzy logic and genetic algorithms, for the optimization of the portfolio in selected active companies listed in Tehran Stock Exchange over the period 2012-2016 and the results of the above models are discussed. The results show that the two studied models had functional differences in portfolio optimization, its tools and the possibility of supplementing each other and their selection.

This study aims to analyze the ability to determine the weight of securities of stocks, bonds, mutual funds and deposits in the implementation of employer pension funds in Indonesia based on variables of asset allocation, portfolio turnover, board size, institutional ownership and diversification of the portfolio performance. The data collection method used was non-participant observation. By using a data pooling technique which combined time series data over period 2016-2018 and a cross section data of 64 Employer Pension Funds (DPPK, Employer Pension Funds), 192 observed analysis units were obtained. The effect of the variables was analyzed by using Structural Equation Modeling (path) as the analysis technique and using LISREL (Linear Structural Relationships) program. The test results showed that the asset allocation strategy had a positive effect on the investment portfolio performance. The same also happened to institutional ownership and diversification variables which also had a positive and significant effect on the investment portfolio performance. However, this study showed that there was no positive effect on the board size and portfolio turnover on the investment portfolio performance. Theoretical and managerial implications and also the limitations of this study are discussed at the end of this study.