درخت حوزه‌های تخصصی

This study aims to investigate the relationship between liquidity and asset price fluctuations in the Iranian financial market applying innovative methods of averaging. The findings are useful for policymakers because the surveys can be used in monetary policy decisions. The data used in this research are quarterly from March 2006 to April 2020. To this end, the statistics from the economic time-series database of the Central Bank of the Islamic Republic of Iran and other related sources have been used. Bayesian Model Averaging (BMA) has successfully been used in the experimental growth literature as a way to overcome the sensitivity of the results to the characteristics of different models. The variables are the real liquidity as a dependent one and fluctuations in total stock price, total housing price, central bank assets, the government debt to banks, exchange rate, and the coin price are considered independent ones. In terms of the movable assets, the results show a positive and significant relationship between fluctuations in real total housing prices and liquidity and a negative relationship between Bahar-e Azadi Iranian Gold Coin fluctuation and liquidity. For immovable assets, the real net fluctuation of central bank assets and the government debt to banks have a positive relationship with liquidity. There is a negative relationship of real total stock price fluctuation and real exchange rate fluctuation with the liquidity.

This paper primarily aims to introduce a model to enhance the performance of the stock market portfolio of the Iran Social Security Organization. Performance indices were measured using documentary-based research and expert interviews based on theoretical saturation to evaluate the stock portfolio performance of the Iran Social Security Organization relative to companies listed on the Tehran Stock Exchange (T.S.E.) during 2016-2020. The Delphi technique was employed to ensure the validity of the indices. Drawing on the analytical hierarchy process (A.H.P.), the indices were prioritized and ranked based on the weight vector. The Iran Social Security Organization was found to have poor stock portfolio performance based on risk, return, liquidity, Sharpe ratio, and T.O.P.S.I.S. Hence, several solutions were identified based on expert interviews through thematic analysis to improve the stock portfolio performance of the Iran Social Security Organization. The solutions were validated through the Delphi technique, prioritizing and quantifying the performance improvement indices using the A.H.P. Based on expert views and T.O.P.S.I.S., a stock portfolio performance improvement model was proposed for the Iran Social Security Organization. Handling the non-profitable, low-return, and out-of-strategy companies is the optimal solution for the portfolio performance improvement of the I.S.S.O., with portfolio modification based on liquidity, effective stock market-making, return-based stock risk management, synergy between the portfolio and value chain completion, and value-added creation approach to stock management and exchange having the second-fifth ranks, respectively.

The stock market, as a symbol of the capital market, is one of the most important sectors of the economy of any country and, unlike the money market, is responsible for the long-term financing of corporate capital. The capital market collects funds from surplus sectors and channels them to institutions that need financing. This study investigates the feasibility of establishing a market for the Kabul Stock Exchange. It is a survey in terms of nature and descriptive method and is applied in relation to the purpose. For the feasibility study of the present study, six platforms were identified using Delphi method. Non-random and purposive sampling was used, and according to Morgan’s table, 180 people were selected from three groups of university professors, experts from the ministries of Finance, Economy, Trade and Industry, the Central Bank and a number of people in Kabul. The validity and reliability of the questionnaire was confirmed by Delphi method and Cronbach’s alpha test. SPSS statistical software was used to analyze the data. From the results of one-sample t-test, it can be seen that all H1’s sub-hypotheses were confirmed in relation to the six platforms, which means that in the current situation, Kabul city is not in a favorable situation in terms of infrastructure and requirements for legal, economic, technical and technological, cultural, social and human capital platforms for the establishment of the stock market, and the conditions for the establishment of Kabul Stock Exchange do not exist. The Friedman test showed that the degree of readiness for the establishment of Kabul Stock Exchange depended on the human capital, economic, legal, cultural, technical and technological or social platforms.

The daily unofficial exchange rate is crucial role in economic agents' decision-making and expectations in Iran. Hence, policymakers have tried to manage the unofficial market by promoting the official exchange rates as a leading price. In this regard, they have established official platforms for foreign exchange transactions. This study investigates the causal relationship between exchange rates discovered on the platforms and unofficial exchange rates by employing the Hong time-varying causality test based on the DCC-MGARCH method. Empirical results show a unilateral causal effect between the unofficial and official exchange rates. The instantaneous causality test results show an instantaneous unilateral causality from unofficial to official exchange rate over the whole period. However, the reverse is only found for some special sub-periods, such as when the extent of sanctions decreases, and the possibility of the Central Bank's intervention increases.