List of Articles متغیرهای اقتصاد کلان

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  1 - Designing and presenting a model to determine the effect of macroeconomic and banking variables on the occurrence of asset freezing in the country's banking system
  Fateme Davoudi Farkoosh mohammad ebrahim Mohammadpoor zarandi mehrzad minouei
  In this article, the goal is to design and present a model to determine the effect of macroeconomic and banking variables on the occurrence of asset freezing in the country's banking system using meta-heuristic models. The current research is applied in terms of purpose More

  In this article, the goal is to design and present a model to determine the effect of macroeconomic and banking variables on the occurrence of asset freezing in the country's banking system using meta-heuristic models. The current research is applied in terms of purpose, in terms of research method, correlation analysis type and in terms of overall research design, post-event and retrospective. In order to answer the research questions, the annual data of macroeconomic and banking variables, during the period of 1399-1390, were collected and using the test of regression models in EViews, Smart PLS software and also the neural network model. It was estimated in SPSS Modeler software. The estimation results of the regression model of the first hypothesis in EViews software showed that the economic variables of GDP, unemployment rate and interest rate, consumer price index, currency strength at the error level of one percent and the economic growth rate variable at the error level of ten percent have a significant relationship. They have a dependent variable (asset freezing). Also, the estimation results of the structural model of the first hypothesis in the PLS software are significantly aligned with the output of the Eviuse software. So; The first research hypothesis is confirmed. Also, the results of the regression model estimation of the second hypothesis in EViews software showed that the intra-bank variable of the bank size ratio, return on equity, and the amount of liquidity at the error level of ten percent, and the variables of capital adequacy, return on assets, bank capital, at the error level of one percent. The percentage has a significant relationship with the dependent variable (asset freezing). Also, the estimation results of the structural model of the second hypothesis in the PLS software are significantly aligned with the output of the Eviuse software. So; The second research hypothesis is also confirmed. Manuscript profile
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  2 - The Design and Calibration of a New Keynesian DSGE Model with Stock Market Dynamics in Iran Economy
  Ahmad Salahmanesh Seyed Aziz Arman Ebrahim Anvari Abdollah Pourjavan
  Financial markets especially capital market can make strong connections with other parts of the economy. After 2007/2008 financial crisis and global extensive economic recession, the economists show interest in the financial markets function again. The purpose of this s More

  Financial markets especially capital market can make strong connections with other parts of the economy. After 2007/2008 financial crisis and global extensive economic recession, the economists show interest in the financial markets function again. The purpose of this study is to design and calibrate a Dynamic Stochastic General Equilibrium new Keynesian model with Stock market dynamism to investigate the stock market channal effectiveness mechanism on macroeconomics variables. So an open DSGE model containing households, firms, banks, government and central bank was designed and after log-linearization, then the model’s parameters were calibrated using quarterly data 1996:3-2013:2 and experimental studies results. This study shows that a negative shock to stock price index in the DSGE model via financial accelerator and bank capital channel will result in decrease production, consumption, investment, deposits and inflation and therefor the macroeconomic variables such as consumption, investment and production have stronger relationship with stock market dynamism Manuscript profile
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  3 - Evaluation of long term relations between Tehran Stock Exchange index and macroeconomic variables
  Majid Abdi
  Stock Exchange as the most important element of the capital market, is affected by economic conditions. Returns and Exchange price of the exchange, is the result of the economic situation and macroeconomic variables. Also, index of Stock Exchange, which reflects the gen More

  Stock Exchange as the most important element of the capital market, is affected by economic conditions. Returns and Exchange price of the exchange, is the result of the economic situation and macroeconomic variables. Also, index of Stock Exchange, which reflects the general state of market, always, has been affected by macroeconomic variables. The main objective of this study is to investigate the relationship between the index of Stock Exchange and macroeconomic variables. For this purpose, quarterly data related to the index and macroeconomic variables during years 1992-2012 as a time sequence are used. Method used in this research is Autoregressive model. Distributed Lag (ARDL) is. Phillips - Perron test showed that, all variables in the lower bound has a unit root with Distributed Lag, but at the upper bound they are static. The results of Granger causality error correction model, represents a long term equilibrium relation and cointegration between the index and variables of consumer index, money supply, exchange rates, GDP, liquidity, governmental payments, coin price and manufacturer index prices. Manuscript profile
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  4 - Forecasting Future Trends of the Stock Market Using the Probit Regression Approach with Emphasis on Value at Risk
  Seyed Ali Mousavi Loleti Emran Mohammadi Saeed Shavvalpour
  Forecasting has always been recognized as an important issue in financial markets and is considered a unique factor in estimating future unknown values. The aim of this research is to identify and forecast the conditions of the Tehran Stock Exchange(TSE) and the factors More

  Forecasting has always been recognized as an important issue in financial markets and is considered a unique factor in estimating future unknown values. The aim of this research is to identify and forecast the conditions of the Tehran Stock Exchange(TSE) and the factors affecting them, focusing on the correlation between market prosperity and value at risk. To achieve this, in the first step of this study, the time series of the value at risk index on the capital market TSE was estimated using daily data and the first-order GARCH method from spring 2010 to June 2023. Then, the factors influencing prosperity in TSE were evaluated based on seasonal data from spring 2010 to June 2023 using the probit regression approach. In addition, value at risk index was calculated seasonally and the relationship between the probability of market prosperity and the value at risk index was examined using correlation coefficients.The research results show that the probability of market prosperity in the Iranian capital market has a significant negative relationship with the bank interest rate, liquidity growth and the occurrence of sanctions. There is also a significant positive relationship with the inflation rate and the growth of the exchange rate. Furthermore, the correlation analysis shows that market prosperity is directly related to equity value at risk. Assuming stable conditions, the research suggests that the probability of a prosperity market in the next three seasons is significantly higher than the occurrence of a recession. Manuscript profile
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  5 - اثرات متغیرهای کلان اقتصادی بر شاخص کل بورس اوراق بهادار تهران
  اسماعیل فدایی نژاد رضا فراهانی
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  6 - Price Bubble and the Effect of Economic Variables on the Exchange Rate in the Iranian Financial Market Using ARIMA and TAR Methods
  Yagoob Zahedi Nader Rezaei Vadoud Najjari
  10.30495/fed.2023.705599
  Abstract Many financial crises follow the bursting of the financial asset bubble, and it is important to examine the bubble behavior in these markets and make an early diagnosis to prevent adverse economic consequences; Therefore, the main purpose of this study was to More

  Abstract Many financial crises follow the bursting of the financial asset bubble, and it is important to examine the bubble behavior in these markets and make an early diagnosis to prevent adverse economic consequences; Therefore, the main purpose of this study was to investigate the effect of four economic and financial variables including GDP, auto index and parts of stock exchange indices, inflation rate and oil income on the exchange rate by quasi-experimental studies with two statistical models ARIMA and model The return itself is the TAR threshold. Considering that previous studies in this field, which have mostly dealt with the formation and explosion of bubbles, and in this field, studies have not been done or are limited; Therefore, in this study, first, data were collected quarterly in the time yield of spring 2011 to spring 1400 and were analyzed by descriptive statistics and econometrics. The results of ARIMA model analysis show that an increase in the exchange rate unit in a past period will lead to an increase of 1.94 exchange rates in the current period. The results of TAR model analysis show that there is a nonlinear relationship between the variables studied in the study and two thresholds for GDP (2130- and 15460) were estimated, indicating different effects of GDP, inflation rate, car index and parts. One of the indicators of the stock exchange and oil income in the regime is high, medium and low (threshold level of 2130-15460) on the exchange rate. Manuscript profile
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  7 - Analysis of Comovement between Tehran Stock Market and Global Macroeconomic Indicators Using a Time-Frequency Analysis
  Khadijeh Dinarzehi Mohammad Nabi Shahiki Tash Gholamreza Zamanian
  Study of the comovement between financial markets plays a crucial role in increasing the performance of trading strategies. Due to the strong dependence of Iran economy on oil prices and the fluctuation of the dollar exchange rate in the open market, it is very importan More

  Study of the comovement between financial markets plays a crucial role in increasing the performance of trading strategies. Due to the strong dependence of Iran economy on oil prices and the fluctuation of the dollar exchange rate in the open market, it is very important to study these macroeconomic level factors on stock market performance for portfolio management. In this research, using time-frequency domain analysis, while discovering the interdependence between financial markets, capital turnover trends in Tehran stock exchange are analyzed and the effect of exchange rate fluctuations and the price of the OPEC oil basket on the indices including TEPIX, industry, banking, automobile, and oil products are studied. The results show that the longer the investment horizon, the stronger this effect is, and the increase in the exchange rate causes the index to increase in order for the market to prosper more, while there is a weak interdependence between TEPIX and oil price. During the investment horizon of 4 to 9 months, any increase in USD encourages shareholders to trade more, while in similar conditions, the increase in oil prices, except in the banking and the petroleum sectors, cause money to flow out of the market in other sectors. Manuscript profile