جستجوی مقالات مرتبط با کلیدواژه « optimal portfolio » در نشریات گروه « اقتصاد »

This study attempts to investigate how the change in the economic growth rate results in the change in people’s asset portfolios with various degrees of risk-taking behavior. For this purpose, price information of seven classes of assets, such as land, housing, stocks, bank deposits, currency, bonds, and gold, was extracted from the Central Bank website and Statistics Center for the period 1991-2021. To review how to form the optimal portfolio for people with various degrees of risk-taking behavior, the optimal mix for the whole cycle was extracted using the mean-variance model (Markowitz model) and by Matlab software after calculating the return, expected return, asset risk, and correlation coefficients between their returns. To select the asset mix, investment goals, and personality traits of a person such as risk-taking behavior, it is necessary to consider the boom and bust cycles for different assets and their relationship with one another. The economic growth rate in two cycles (high and low economic growth rates) and people in three levels of risk-taking (low, medium, and high) were classified to review the change in the asset mix as a result of the change in economic growth, and the asset mix was calculated in the abovementioned cycles. The results from model estimation and statistical analysis indicate that land, bank deposits, and currency do not have a share in the optimal portfolio during the whole cycle. For people with low, medium, and high levels of risk-taking behavior, bonds, housing, and stocks had the largest volume in the optimal asset portfolio with 69%, 35%, and 68%, respectively. Also, the statistical analysis for various cycles of growth represented that the highest coefficient of importance for people with the low, medium, and high level of risk-taking behavior was for bonds with 65%, and 62% and housing with 64% for the cycle with high economic growth rate. As for the cycle of low economic growth rate, people with low, medium, and high levels of risk-taking behavior have bonds at 76%, and 34% and stocks at 65% as the largest share in the asset portfolio. Comparing the asset mix and their weight represents the lack of assets' stickiness and their importance coefficient in the optimal portfolio in various cycles of economic growth. Asset portfolio risk for people with various degrees of risk-taking behavior is lower in the cycle of high economic growth.

Financial markets, especially the capital market, may have strong links with other economic sectors. One of the most important aspects of investment is to determine the “optimal investment portfolio”. To date, some research has been conducted to determine the optimal portfolio with” artificial intelligence” and “Fuzzy Logic”. However, we determine the optimal portfolio based on Dynamic Stochastic General Equilibrium (DSGE) model. This study examines the design and calibration of the new Keynesian dynamic stochastic equilibrium model related to an optimal investment portfolio and the effect of shocks such as productivity shocks and foreign exchange earnings’ fluctuation shocks on macroeconomic variables. To this end, we design a DSGE model with sectors of households and firms, government and the central bank, and calibrate the model’s parameters after logarithm–Linearization using seasonal data of 1996-2016 and results of empirical studies. In the designed model, households maintain a portfolio of stocks, cash, securities, and other assets based on risk and return or an optimal portfolio. In the end, we assess the impulse response function of economic variables to shocks of productivity and foreign exchange earnings. Ultimately, the comparison of the present moments in the current study and moments of real data indicates the relative success of the model with regard to the realities of Iranian economy.

Having the portfolio of accessible assets is one of the main strategies and one of the central goals of the banks and financial institutions. Risk and return are two determinants of assets selection. The Banks such as all of the oder financial institutions are looking to select the portfolio of assets with the least risk and maximum return over time and under different economic conditions. This study try to find the evidence in order to banks are changing their portfolio in different economic condition and how their optimal portfolio is and how much they are affected by economic conditions. In fact, the main question is whether the banks are stuck in the asset and do not react in different economic conditions or have the necessary flexibility. For this purpose, the data of Tejarat Bank's is useng from the bank's balance sheet during the period 2001-2018. The research findings show that Tejarat Bank's asset portfolio has reacted to economic conditions in the period under review. During the low economic growth growh, the bank's asset portfolio hnstead during economic low growh had less risk and higher returns.

The existence of a stable source of income for the government is crucial for the financing of current and development expenditures. The major revenues of the government in Iran are derived from two sources of tax and oil revenues. Given that much of the oil revenue fluctuations are outside the control of domestic policymakers, it is better to focus on tax revenues in order to earn relatively stable revenues. However, tax revenues are also affected by cycles of boom and recession, and in terms of economic downturns, it is also difficult to earn money from this source. Thus, the solution for this problem is that the total tax revenue of the country is considered as a portfolio of income and applied to the methods of the financial economics to optimize it, in this way, an optimal combination Tax will be specified. Accordingly, in this study, by collecting information on different government revenues during the period of 1350-1396 and using the Markovitz model from two approaches to minimize risk and maximize returns, the optimal contribution of different tax bases for Iran has been calculated. The results show that the current share of the tax revenue base of the country is different from the optimal share.

The aim of this paper is to investigate the behavior of stock, exchange and gold coin markets and their correlations structure by using the DCC-GARCH model and the daily data for the period from 23 July 2011 to 22 September 2013 in Iran. Results show that there is a high correlation between returns of Exchange rate and gold coin. But the correlation between returns of stock market index and Exchange rate or gold coin is low. Policy implications on portfolio strategies under DCC model results are also discussed.

Management of Foreign exchange reserves is important for every country. This matter is also of particular interest for Iran as an Oil exporting developing country. This paper designs an optimal portfolio for that part of foreign exchange incomes which is used for investment. Using the data on foreign exchange daily returns, for the period 2000-2008, and applying univariate and multivariate Garch models, we estimate a model which maximizes expected returns subject to a Value-at-Risk constraint. The results are examined using Backtesting, and then the most acceptable model is suggested. The results that the multivariate GARCH model is the most efficient method for selecting the foreign exchange optimal portfolio in Iran.

In this paper an optimal portfolio selection is obtained so that it provides the maximal yield and at the same time satisfies the constraints on the value at risk. Value at risk is an important measure of extent to which a given portfolio is subject to different kinds of risk present in financial markets. The optimal weights of each share have been obtained using Genetic Algorithm (Gas). Actually GAs are stochastic parallel global–search algorithms based on the mechanism of natural genetics and the biological theory of evolution. Because GAs exploit strategies of genetic information and survival of the fittest to guide their search, they need not calculate the gradient or assume that the search space is differentiable or continuous. GAs simultaneously evaluate many points in the parameter space, so they are more likely to converge toward a global solution. Gas are very suitable for searching discrete, noisy, multimodal and complex space. The portfolio which is considered in this article has been selected from 12 various companies in the Tehran stock exchange. Simulation results show that the high performance of the VaR approach risk modeling and GA optimization method to selection an optimal portfolio under a pre-specified constraint on the value at risk.