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Showing 9 results for Macroeconomic Variables

Kiumars Aghaei, Amir Jabbari, Mohammad Karimi,
Volume 8, Issue 2 (7-2008)
Abstract

Recent discussions on macroeconomic policy in developing and developed countries have emphasized the crucial role played by the real exchange rate in the adjustment process. There is a growing agreement that sustained real exchange rate misalignment will usually generate severe macroeconomic disequilibria through affecting macroeconomic variables. This study aims to investigate the sources of macroeconomic variable fluctuations in Iran focusing on real exchange rate. We implement the model with a structural VAR model and variance decomposition technique using annual macroeconomic time series data of the Iranian economy from 1970 to 2005. The findings suggest that real exchange rate fluctuations in Iran are mostly explained by monetary shocks as well as oil price shocks. Moreover, the results show that major part of income fluctuations in Iran are due to the price shocks, oil price shocks, money shocks, and supply shocks. This paper recommends that diversifying the economy, developing infrastructure, stabilizing prices, increasing investment, reducing money fluctuations, and controlling money supply may well then contribute to improve growth performance in the economy. According to our results, money disturbances and oil prices effect significantly real exchange rate fluctuations. So, this paper suggests that conducting monetary policy requires a greater caution to stabilize the economy.
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Volume 9, Issue 1 (4-2009)
Abstract

This paper is an attempt to investigate the impacts of macroeconomic variables on capital market in Iran using quarterly observations for the period 1991Q2 to 2007Q1. The macroeconomic variables considered in the model include GDP, prices, money and exchange rate. Arbitrage pricing theory is considered to model the variables. Standard unit root tests are conducted to investigate the order of integration in time series used in the study. Cointegration analysis is employed to estimate the model. More specifically, the autoregressive distributed lag (ARDL) framework and error correction model (ECM) are employed. The results show that stock price has a positive effect on GDP and price level, but a negative effect on money stock and exchange rate. The estimated coefficient of the error correction term is 15 percent indicating the speed of adjustment in response to deviation from the long run equilibrium is relatively low.
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Volume 9, Issue 1 (4-2009)
Abstract

This paper investigates the determinants of private investment in Iran over the period of 1382-2004. First, the variables are tested for unit root and then the long run private investment equation is estimated using cointegration technique. The variables considered in the model include GDP, government investment, inflation, infrastructure and institutions such as rules and regulations, property rights, corruption and social Securities. The results indicate that GDP and infrastructure positively affect private investment while the institution factors such as rules and regulations, property rights, social securities and corruptions negatively affect private investment.
Esmaeil Pishbahar, Maryam Baghestani,
Volume 14, Issue 3 (9-2014)
Abstract

The purpose of this study is to investigate the economic effects of world food and oil price shocks on macroeconomic variables (industrial output growth, inflation, stock price indices, lending rate, and real exchange rate) in Iran. For this purpose, the Structural Vector Auto Regressive (SVAR) method is used to examine the autonomous and simultaneous effects of food and oil prices within 3 models. This study uses monthly data from 21th March 2001 to 20th March 2011. The results show that oil price shock has small effect on industrial output growth. The biggest effect of the oil and food price shocks is observed on the exchange rate. About 5 percent of the variation in oil and food prices is explained by inflation shock. Furthermore, results from the simultaneous study of shocks to the oil price and global food price indicate that oil shocks significantly affect global food prices.  
Mr. Abdolreza Iesvand Heidari, Dr Mir Hossein Mousavi, Dr Saleh Ghavidel, Esmaeel Safarzadeh,
Volume 22, Issue 3 (9-2022)
Abstract

The purpose of this article is to investigate the effects of macroeconomic variables such as exchange rate, interest rate, economic growth and real money residual growth on the financial stability in the Iranian insurance industry. For this purpose, Markov switching method is used. The ability to account for changes in the relationship between macroeconomic variables and the financial stability of the insurance industry over time is one of the most important features of the Markov switching method. The period under study is from the first quarter of 2005 to the fourth quarter of 2015. The results show that the effects of macroeconomic variables during the first regime (including the first quarter of 2005 to the third quarter of 2008) and the second regime (including the fourth quarter of 2008 to the fourth quarter of 2015) on financial stability of the insurance industry are different. So that the effects of exchange rate, interest rate and economic growth on the financial stability of the insurance industry in the first regime are the opposite of those of the second regime. This is while the growth of the real balance of money has a direct link to the financial stability of the insurance industry in each round of the regime, but in the second regime, which is a recessionary regime, its effect on financial stability is insignificant. Also, the findings show that the stability of the first regime is more than the second regime, so that if the insurance industry is in regime one in the previous period, with a probability of 94% it will be again in regime one.

Dr Leila Torki, Baran Mazaheri,
Volume 22, Issue 4 (12-2022)
Abstract

Aim and Introduction 
Financial sanctions have long been a powerful tool for countries to achieve their political goals and secure their interests. Countries usually apply economic sanctions when they intend to force the target country to change certain policies that are not acceptable to the sending countries. The impact of financial sanctions may be far beyond the scope of a country's economy, so that in addition to affect the economy, it can also have a negative effect on the politics, culture, and social welfare of the target country. Iran has always been under the pressure of many sanctions. Therefore, due to the many sanctions that have been imposed on Iran over the years, the concern of many economists has always been how these sanctions affect Iran's economy. The economic and legal dimensions of sanctions as well as their diversity make it difficult to evaluate the implications related to sanctions on macroeconomic variables.
By examining the studies conducted in the field of financial sanctions and their effects on economic variables, it was found that most of these studies had investigated the effect of sanctions on two or more macro-economic variables, However, in the present study, the most important macroeconomic variables are included in the model and analyzed. Another innovation that distinguishes this research from other studies is the research method used in this research, which has not been used in Iran for the subject under study.
 Methodology
First, the optimal interval of the model is determined using the Hannan-Quinn statistic, then the Bayesian vector regression model is estimated using the optimal interval, and then the effect of financial sanctions on the variables of the model is investigated. In order to create a comparative framework, the results of the Bayesian VAR model are analyzed, and the results of both BVAR and VAR models are compared. It should be noted that Eviews 12 and 16, Excel and Matlab 2021 softwares were are used to estimate the model and analyze the results and form the instantaneous response function.


Findings
After estimating the Bayesian vector auto-regression model with the SSVS prior, the results of the instantaneous response functions are as follows:
The effect of the shock on the variable of fixed investments is negative and decreasing. The effect of the shock on the price index variable of consumer goods and services is positive and increasing. The effect of the shock on the export variable is negative and decreasing. The effect of the shock on the import variable is negative and decreasing. The effect of the shock on the GDP variable is negative and decreasing. The effect of the shock on the variable of overdue loans to the private sector is positive and increasing. The shock effect in the monetary base variable is negative and increasing. The effect of the shock on the country's external debt variable is negative and increasing. The effect of the shock on the variable of the currency market pressure index is negative and increasing.
After estimating the vector auto-regression model, the results of the instantaneous response functions are as follows:
The effect of the shock on the variable of fixed investments is negative and increasing. The effect of the shock in the price index variable of consumer goods and services is negative and increasing. The effect of the shock on the export variable cannot be investigated. The effect of the shock on the import variable cannot be investigated. The effect of the shock on the GDP variable is negative and variable. The effect of the shock on the variable of overdue loans to the private sector is negative and variable. The effect of the shock on the monetary base variable is negative and variable. The effect of the shock on the country's external debt variable is negative and increasing. The effect of the shock on the variable of the currency market pressure index is positive and variable.
As it is clear from the results, the information obtained from the auto-regression vector model is very inaccurate and with high variance, and the reason for this is, as previously stated, the existence of many parameters and the reduction of the degree of freedom of the model, which causes the accuracy to decrease. The estimate as well as the dispersion function becomes instantaneous. But Bayesian models solve this problem by shrinking the model and increase the estimation accuracy. As it is clear from the instantaneous response functions obtained by this method, the graphs have less dispersion and are much closer to the middle line, and also by examining the results, it can be said that the results are consistent with experimental studies and predictions taken is closer.

Discussion and Conclusion
The lack of appropriate quantitative indicators has caused most of the studies related to the investigation of the effects of sanctions to be focused on the explanation of the channels of the impact of the sanctions on the economic environment. Sanctions affect various economic sectors such as trade, investment, employment and economic growth regardless of success or failure in achieving the ultimate goal. Therefore, for accurate policies in these areas, it is necessary to evaluate the exact amount of the effects of sanctions on these sectors based on quantitative models, along with the influence channels.
According to the results of the auto-regression Bayesian vector model with SSVS prior, financial sanctions have a negative effect on the GDP and cause it to decrease. With the decrease in the productive capacity of the economy, fixed investments also decrease. A decrease in economic growth causes a recession. A decrease in private consumption, private investment, and a decrease in economic growth can greatly strengthen the recessionary conditions, therefore, it is recommended that the government, while managing the budget, avoid excessive reductions in construction costs, so that by strengthening the effective demand in the economy, it can bring it out of stagnation.
On the other hand, financial sanctions reduce the country's exports and imports and increase the country's foreign debt. Therefore, it is suggested that the import of luxury goods, which have a high value, should be put on the agenda in the conditions of prohibited sanctions and self-sufficiency in the production of some imported products. Besides, increasing the diversification of export goods can partially compensate for the decrease in exports. In this case, the policy of supporting domestically produced goods and export-oriented goods is recommended.
Since financial sanctions increase the pressure index of the currency market, it is suggested to prevent the entry of luxury goods and to put autarky in the production of these goods. In this regard, the creation of knowledge-based companies and the creation of career guidance and specialized employment offices in universities and the policies of training human resources in the specialties needed by society should be included in the goals of the country's vision.
Dr Leila Torki, Mrs. Vala Sanizadeh,
Volume 23, Issue 1 (3-2023)
Abstract

Aim and Introduction:
The choice between interest rate and money supply as the objective of monetary policy has always been a question in economic literature. Based on the results of many economic studies, the interest rate is a more appropriate target. Due to the instability of the demand for money, since the mid-1980s, the money supply has lost its generality, and instead, the use of interest rates has been used.
 In Iran's economy, due to the prohibition of using bonds because of their usurious nature and determining the interest rates of bank deposits in a mandatory manner, it has not been possible to use the interest rate as the goal of monetary policy in recent years. In most of the researches, the monetary base growth rate is used as the target of the central bank's monetary policy.
This research tries to use dynamic stochastic general equilibrium approach in Iran, to examine the effects of implementing monetary policy through the regulated interbank interest rate and transaction of government debt securities and to compare its effects on the macroeconomic variables with the effects of common monetary policy of the central bank (setting the growth rate of the monetary base through changing the rate legal reserve).
Methodology:
In this research, a stochastic dynamic general equilibrium model of an open economy has been designed to analyze the effects of different monetary policy regimes on the macro variables of the Iranian economy. This model analyzes the characteristics of the Iranian economy such as the dependency on oil revenues, the persistent budget deficit and the misalignment of central bank's balance sheet. Also, based on the new Keynesian school, price stickiness has been considered in the model by Calvo's method (1983) for domestic, import and export intermediary companies.
Results and Discussion:
According to the graphs of impulse-response functions, as a result of the positive impulse of the interbank interest rate, the demand of banks for borrowing and the monetary base are reduced. The bank resources are limited, and the facilities granted to the companies are reduced. Due to the stability of the company's demand, as a result of the additional demand for facilities, the interest rate of the facilities will increase.
By reducing the facilities granted to companies, the company must hire fewer factors based on optimization due to the higher cost of financing. The demand and wages of household labor will decrease. Due to the decrease in the demand for labor and capital by the company, the non-oil production also decreases. As a result, the inflation rate increases with the decrease in supply. On the other hand, with an increase in the real interest rate based on Euler's relationship and a decrease in household income due to a decrease in wages and employment of labor by companies, consumer spending decreases. Therefore, in response to the decrease in the demand of the whole economy, the price level gradually decreases and the economy returns to equilibrium. Due to the fact that in the model, imports are limited to consumer goods, with the reduction of household consumption expenses, imports also decrease.
According to the graphs of the impulse response function, with the increase in the growth rate of the monetary base, the resources available to banks increase, and bank facilities get available to companies in order to cover expenses. The facilities granted to the companies will increase, and due to the constant demand of the company, the cost of financing will decrease by reducing the interest rate of the facilities. As a result of optimization, by reducing the final cost of hiring agents, the company should employ more agents. So, the demand for household labor will increase. By hiring more factors by the company, non-oil production in the economy increases after impulse.
Conclusion:
The positive impulse of the interest rate of the interbank market (as a contractionary policy of the central bank) has a negative effect on the non-oil production by increasing the cost of financing of companies and reducing the facilities granted. As the supply of the entire economy decreases, the inflation rate also increases after the impulse is applied.  
The positive momentum of the growth rate of the monetary base (as the central bank's expansionary policy) is expected to increase the lending of banks, and to reduce the interest rate of the facilities, if bank resources increase. 
By comparing these impulse response functions under the application of each monetary policy regime, it seems that the effect of the impulse of the monetary base growth rate compared to the impulse of the interbank interest rate on the economy disappears in shorter periods.
These results are expected due to the fact that the targeting of interbank interest rates has less effect on the macroeconomic variables in Iran due to the restrictions on the issuance of government debt bonds and the implementation of open market operations by the central bank. 

Mr Ahmad Pourmohammadi, Dr Zohreh Tabatabaiie Nasab, Dr Yhya Abtahi, Dr Mohammad Ali Dehqantafti,
Volume 24, Issue 2 (5-2024)
Abstract

Introduction
Despite the increasing debate around the role of alternative renewable sources of energy such as solar and nuclear power, oil still has a central role for a vast portion of the world’s countries. Therefore, oil price is one of the key prices in the international economy, and its effects and mechanisms on macroeconomic variables has been an important topic of economic research. In oil-exporting countries, oil price fluctuations have implications for all macroeconomic and prudential policies but due to the government ownership of natural resources, fiscal policy is especially important and can be a main mechanism for transferring these fluctuations to the economy. In this regard, this study aims to analyze the complex relationships and dynamic co-movements between international oil price movements and macroeconomic variables, emphasizing the role of fiscal policy in a time-frequency approach in the years 1978-2020. For this purpose, we implement two novel wavelet analysis techniques, namely, multiple wavelet coherence (MWC) and partial wavelet coherence (PWC), which are used to explore the real relationship between variables. The use of the wavelet tool is superior to traditional tools because it allows the analyst to determine how the series interact at different frequencies and how they evolve over time. To the best of our knowledge, the current is the first paper to implement the wavelet framework to analyze the effects of oil price dynamics on macroeconomic variables in Iran. Therefore, this study makes a modest contribution to the empirical literature by unveiling the main transmission mechanism of oil prices at different time horizons.
Methodology
The econometrics techniques that have been previously used are focused on time domain analysis. This analysis may return incomplete and ambiguous information on the relationship between economic variables. Therefore, this study is focused on time and frequency domain analysis using the wavelet transformation approach that has been left out for the relationship dynamics among these variables.
The origin of wavelets can be traced back to Fourier analysis, which is the foundation of modern time-frequency analysis. Fourier transform, examine the periodicity of phenomena by assuming that they are stationary in time. But most economic and financial time series exhibit quite complicated patterns over time. The wavelet transform approach was introduced to overcome the limitations of the Fourier transform. In fact, if the frequency components are not stationary traditional spectral tools may miss such frequency components. The wavelet analyses do not follow the initial checks to observe if the series have unit root or not. The superior feature of the wavelet analysis is related to its flexibility in monitoring several non-stationary signals.
Wavelet Analysis is a method that allows simultaneous decomposition of original time series according to both time and frequency domains. This is very important for economics and finance, as many of the variables in this field can operate and interact differently on dissimilar time scales. So, in this paper, we used two innovative wavelet approaches to study and compare the interdependence between oil prices, non-oil GDP, public expenditure, and trade balance. This approach implements the estimation of the spectral features of time series as a function of time, displaying how the various periodic components of time series vary through time. To check the relevance of the coherence of multiple independents on a dependent one, we use multiple wavelet coherence (MWC), a similar method to the multiple correlations. The partial correlation is one of the tools that can be used in a simple correlation concept. In the wavelet, the researchers can attain this using partial wavelet coherence (PWC). This approach is able to identify the partial wavelet coherence between the two-time series y and x1 after eliminating the influence of the third time series x2. Hence, we use partial wavelet coherence to identify the wavelet coherence between oil prices and government expenditure when canceling out the effect of non-oil GDP and trade balance.
Results and Discussion
The results of the wavelet analysis show that there is a strong coherence between oil prices and the macroeconomic variables at different frequencies. multiple wavelet coherence, shows a high coherency between the four variables in the short-run (1-4 years) and in the long-run horizons (8-16 years). In fact, multiple wavelet coherence between variables shows that there is always a relationship between variables over time and different scales with different coefficients.
Partial wavelet coherence between oil and non-oil GDP has been significant by removing the effects of government expenditure in the short term during the years 1988 to 1992 and also  2000 to 2012. In the scale of 6 to 8 years from 2010, the partial coherence shows an approximate value of 0.6, which is maintained at this frequency until the end of the period. This issue shows the greater correlation between oil price fluctuations and non-oil GDP by removing the effects of fiscal policy fluctuations in these years. Also, by removing the effects of the trade balance, there is a partial wavelet coherence between the pairs of oil price and non-oil GDP from 1996 to 2012 in the short-term time horizon.
The partial wavelet coherence between oil price and trade balance by removing the effect of fiscal policy and also by removing the effect of non-oil GDP indicates a limited relationship between the pair of oil price and trade balance by removing the effects of other two variables during the study period. In both cases, the relationship between the two variables is limited to the early years of the study period, and there is no independent relationship in other areas.
The results of the partial wavelet coherence between oil price and government expenditure showed that by removing the effect of non-oil GDP, the highest correlation of the variable occurred in the short-term and medium-term region. In the short-term time horizon, during the years 1979 to 1992, a strong wavelet coherence can be seen between the oil prices and government expenditure, which was repeated during the years 2010 to 2011. Also, by keeping the variable effects of the trade balance constant until the end of the 80s, there is a co-movement between oil price and government expenditure independent of the effects of the trade balance. This net correlation between the two variables well indicates the role of fiscal policy in the transmission of oil price fluctuations in multiple time scales.
Conclusion
The most important effective factor in increasing oil price fluctuations is the unforeseen and increasing risks related to oil and its related industries. Since the world has seen rapid and successive developments in recent years (including the spread of disease, war, etc.), severe fluctuations have been observed in the global oil markets during these years. Therefore, in a fluctuating environment, oil prices have forced governments and policymakers to formulate policies to deal with the uncertainty of oil prices. To implement such policies, it will be useful to examine the relationship between oil price dynamics and its transmission mechanisms in the economy. In this regard, the present article analyzes the relationship between oil price dynamics and macroeconomic variables, emphasizing the role of fiscal policy in Iran through time-frequency analysis and the new approach of multiple and partial wavelet coherence.
The results of multiple wavelet coherence show the co-movement between oil price and other variables of the model in different time scales. In such a way that this co-movement shows the greatest intensity in short and long-time horizons. Also, the partial wavelet correlation results between the variables of oil price and non-oil GDP as well as government expenditures showed that by removing the effects of other variables, the co-movement between the pair of variables can still be observed in all time horizons. While regarding the trade balance, this net relationship with oil price was not observed.
In general, based on the partial wavelet coherence results, it can be shown that fiscal policy and economic growth are the main channels of oil price fluctuations transmission in this period, which are in line with the studies of Hossein et al. (2008) and El Anshasi (2008) who showed that Fiscal policies are the main propagation mechanism that transmits the oil price shocks to the economy.
Therefore, the reduction of oil price correlation by removing the effects of fiscal policy and business cycles shows the importance of the channel of fiscal policy and GDP in the transmission of oil price fluctuations. Therefore, it is recommended that the policymakers who adjust various economic stabilization schemes for greater stability, while paying attention to the main channels of oil financial resources flowing into the economy, should consider different frequency bands as well.

Dr Amirreza Souri, Mrs Fatemeh Panahi,
Volume 25, Issue 1 (3-2025)
Abstract

Aim and Introduction
The purpose of this article is to compare two methods of bilateral differences and individual variables to investigate the impact of macroeconomic variables on the exchange rate. The model used in the research is the monetary model with sticky prices (SPMM), which is used in order to improve the accuracy of the estimates from the Elastic Net. Research variables include exchange rate, gross domestic product (GDP), real interest rate (IR), consumer inflation (IN) and liquidity (M2) for two groups of developed and less developed countries. It has been estimated seasonally during the period from 1996 to 2022.
Methodology
The model used in this article is the modified model of Biswas et al. (2022) and by using the SPMM model, the impact of macroeconomic variables on the exchange rate for developed and less developed countries is estimated in the form of bilateral difference methods and individual variables. In this regard, the model simulation analysis is explained first, and then the SPMM model is estimated and described using the variables of bilateral differences and individual variables.
Results and Discussion
The results of the research show that when the real model uses individual variables, the estimation of the model using the two-sided differences method increases the mean square error (MSE), and when the real model uses two-sided differences, the estimation of the model using the ndividual variables method produce higher MSE. In general, the findings of the research show that using individual variables to estimate the real model is more accurate, but the accuracy of the estimates may decrease in certain conditions. Therefore, it is important to consider various factors such as true model complexity, error term size, and sample size when choosing between individual variables and pairwise differences.
Conclusion
Other research findings show that model estimation using individual variables and elastic network leads to lower MSE than bilateral differences. In addition, the reduction of MSE among less developed countries are more than that of developed countries. Also, the impact of macroeconomic variables on the exchange rate is stronger in less developed countries than in developed countries


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