Research Paper
International Economics
Zahra Aghili; Reza Akbarian; Ahmad Sadraei Javaheri; parviz Rostamzadeh
Abstract
In recent years, given the significance of the financial sector and its interdependence with other sectors, especially the international trade sector, this industry’s academics and planners have examined the impact of financial development on commerce and trade integration. Therefore, in the present ...
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In recent years, given the significance of the financial sector and its interdependence with other sectors, especially the international trade sector, this industry’s academics and planners have examined the impact of financial development on commerce and trade integration. Therefore, in the present study, using the data of 12 selected countries that are members of the Economic Cooperation Organization (ECO), Eurasia, and D8 during the period 1996-2020, and utilizing the augmented gravity model, the effect of a variety of financial tools, such as financial liberalization (FL) and open market operation (OMO), was discussed as a financial development to create trade integration between Iran and the selected countries. The results reveal that the index of financial liberalization has a positive and statistically significant impact on the degree of trade integration of the examined countries. In addition, the elasticity of trade integration is +0.01 than the OMO index. Another independent variable that has a positive effect on trade integration degree is economic size. Income convergence, population, the real exchange rate, and geographical distance have negative significant effects on trade integration in the countries under study. In order to establish the development plans of trade and financial sectors, the findings of this study may be of interest to policymakers and planners in ECO, Eurasia, and D8 nations, especially Iran; because the formation, growth, and strengthening of regional arrangements can offer a foundation for the entry of the region’s countries into the global economy and shield them from globalization’s challenges.
Research Paper
Macroeconomics
Ali Akbar Jafarizadeh Malmiri; Gholmreza Askarzadeh; Hamid Khajeh Mahmoodabadi; Yahya Abtahi
Abstract
The purpose of this study is to investigate the effectiveness of ETF funds on Iran's stock market. The index investigated in this research is the degree of fragility of the stock market in Iran. For this purpose, a model has been used at first, which shows how much the entry of an ETF market fund can ...
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The purpose of this study is to investigate the effectiveness of ETF funds on Iran's stock market. The index investigated in this research is the degree of fragility of the stock market in Iran. For this purpose, a model has been used at first, which shows how much the entry of an ETF market fund can affect the stability and fragility of the stock market. Then, in order to analyze the issue, a series of ETF funds in Iran has been selected. We used price data of 21 different stocks included in ETF funds and the price of related ETF from 30-Jan 2022 till 28-Dec 2022. Using OLS regression analysis, the results and analysis give a pattern that with the entry of ETF funds, the nonsystematic value has increased values. Therefore, we conclude that the entry of ETF funds into the market increases the fragility in the Iranian stock market.
Research Paper
Energy Economics
Seyyed Mohammad Reza Aghaei Marzebali; Abdollah Arasteh
Abstract
Many nations’ quick development and progress during the last century may be directly attributed to the widespread use of fossil fuels. Particularly, oil has stood out as a defining feature of human civilization. However, the increasing use of fossil fuels like oil and coal has led to serious problems ...
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Many nations’ quick development and progress during the last century may be directly attributed to the widespread use of fossil fuels. Particularly, oil has stood out as a defining feature of human civilization. However, the increasing use of fossil fuels like oil and coal has led to serious problems for the world’s ecosystems, national security, and economic prosperity. This article uses actual options to determine the best time to invest in renewable energy based on diesel price volatility, electricity price volatility, and oil consumption externalities. Different actual choice approaches for discretion assessment are addressed and compared, as well as the usage of devolution for decision making. Finally, Monte Carlo simulations are used to compare these techniques to conventional approaches. The findings show that investments in renewable energy have a positive net present value. The timelessness of investing choices is emphasized by the real options method. Under the present energy system in Iran, switching to renewable energy sources is preferable than maintaining reliance on oil to provide power. Switching to renewable energy sources can help Iran reduce its reliance on oil and promote sustainable economic growth. Furthermore, can help to address the negative externalities associated with fossil fuel use, such as air pollution and climate change. Therefore, it is essential to continue to evaluate and promote the development of renewable energy sources in Iran and around the world. By increasing the cost of using oil or reducing the cost of electricity, policies should encourage investment in renewable energy sources.
Research Paper
Econometrics
Pegah Mahdavi; Mohammad Ali Ehsani
Abstract
The understanding of applied modeling in causal effects is of particular importance in econometrics, according to recent developments and research in causal inference applications. We also provide an outline of econometrics’ use of causal inference. The majority of economists would agree that the ...
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The understanding of applied modeling in causal effects is of particular importance in econometrics, according to recent developments and research in causal inference applications. We also provide an outline of econometrics’ use of causal inference. The majority of economists would agree that the randomized controlled experiment is the gold standard for drawing conclusions, but actually, a significant portion of empirical work in econometrics relies on observational data, where, among other things, the possibility of confounding or loss of exogeneity must be taken into account. We focus in particular on two types of contemporary research: randomized experiments and observational studies. Our review of the dynamic causality study approach, the linear method, which includes LP and VAR, and nonlinear statistical modeling which includes BART, and their use in econometrics, are all reviewed in this paper. Modeling dynamic systems with linear parametric models usually suffer limitation which affects forecasting performance and policy implications. On the nonparametric framework, BART specifications can produce more precise tail forecasts than the VAR structure. Finally, BART has the lowest RMSE in linear and non-linear data generation processes, and also the performance of BART important variables in a set of macroeconomic data has an optimal performance than other regression estimators.
