Portfolio optimization is a widely recognized strategy for investing that involves selecting a combination of assets that offers the optimal balance between potential gains and volatility. Traditional portfolio optimization typically focuses on a single period, considering only the current market conditions. However, multi-period portfolio optimization takes a more comprehensive approach by incorporating the dynamic nature of financial markets over multiple periods. Hence in this study, we focus on multi-period portfolio optimization. We conduct a bibliometric analysis of articles on multi-period portfolio optimization in the Web of Science (WoS) database. Through quantitative methods and the utilization of the Bibliometrix R package, we analyze publication trends, key research sites, and historical output in this field. Our findings provide valuable insights into the current state of research on multi-period portfolio optimization. This bibliometric analysis contributes to the existing literature on multi-period portfolio optimization and serves as a valuable resource for researchers, policymakers, and practitioners in the field of finance.

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.

One of the primary questions in asset management is to find good combinations of different assets and this has been an interesting area of research for over half a century. The proposed model of this paper uses decision makers & apos; feedbacks based on multiple criteria decision making technique to find an appropriate portfolio. We first select some important financial criteria and then using decision makers & apos; opinions and by implementation of some fuzzy network analysis we find appropriate weights of the asset. The proposed model uses two multiple criteria techniques namely TOPSIS and VIKOR and the model is examined for some real-world data from Tehran Stock Exchange. The results of the implementation of the proposed model have been examined against Markowitz traditional model. The preliminary results indicate that the proposed model of this paper performs reasonably well compared with alternative method.