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      • Open Access Article

        1 - Asymmetric effects of financial conditions on the growth of GDP in Iran (Quantile regression analysis)
        shirin aminian zohre tabatabaienasab Sayed yahya Abtahi Mohammad Ali dehghantafti
        In this study, the asymmetric effects of financial conditions on the growth of GDP in Iran are investigated. For this purpose, in the first stage, to extract the weights; It includes 12 variables for the construction of Iran's financial conditions index (IFCI) in order More
        In this study, the asymmetric effects of financial conditions on the growth of GDP in Iran are investigated. For this purpose, in the first stage, to extract the weights; It includes 12 variables for the construction of Iran's financial conditions index (IFCI) in order to investigate the current issue in the form of the final quantile model for the period of 1991-2021. Based on the results; in the first and second (lower) quadrants; Financial condition indicators (IFCI) have a negative effect on GDP growth, and in the third and fourth quarters, the intensity of its impact on GDP growth increases. In other words, the financial condition indices (IFCI) of the first (Q1) and second (Q2) quarters have a strong negative temporal correlation with the GDP growth. The fluctuations of downside risks are more severe than those of upside risks, especially in bad financial conditions. According to the chart trend of forecasting the GDP growth of the last quarter, the financial shocks are affected by the first, second and third order shocks. As the financial conditions worsen, the average GDP has decreased, and finally the costs have increased despite a financial crisis. These fluctuations affect the amount of investment by affecting the indicators related to production. Due to the different infrastructures, a separate study of how production is influenced by the uncertainty of the government's monetary policies, government's financial policies, and government's currency policies can provide a correct view of how Iran's financial market changes due to these fluctuations in the macro decisions of the country. Manuscript profile
      • Open Access Article

        2 - تحلیل مقایسه ای کانال های انتقال سیاست پولی در شرایط تحریم اقتصادی ایران: رویکرد رگرسیون کوانتایل
        حسین باستین سید عبدالحمید ثابت مسعود صالحی رزوه عبدالکریم حسین پور
      • Open Access Article

        3 - Investigating the Effect of Investors' Behavioral Tendencies on Stock Market Liquidity: (Quantile Regression Approach)
        Ebrahim Asghari Mohammad Mehdi Abbasian Fredoni Seyedhossein Naslmosavi
        Behavioral financial theory shows that changes in securities prices have no fundamental reason and the behavioral tendencies of investors play an important role in determining prices.In recent studies, the rationality of investors has been seriously challenged, and the More
        Behavioral financial theory shows that changes in securities prices have no fundamental reason and the behavioral tendencies of investors play an important role in determining prices.In recent studies, the rationality of investors has been seriously challenged, and the results of studies suggest that prices are determined more by psychological attitudes and factors than fundamental variables, so the study of stock market psychology has become more important. Therefore, the purpose of this study is to Investigating the effect of investors' behavioral tendencies on stock Market liquidity in the capital markets of selected Islamic countries. The statistical sample consists of the capital markets of 14 selected Islamic countries during the period 2008 to 2020.Quantile regression method was used to estimate the research model using Eviews 9.0 software. The results show that the behavioral tendencies of investors have a positive and significant effect on stock market liquidity. Also, among the macroeconomic variables, the growth rate of money supply and the growth rate of industrial production have a positive and significant effect on stock market liquidity and the inflation rate has a negative effect on stock market liquidity. Based on the results, investors' behavioral tendencies increase the volume of transactions and stock market liquidity. In fact, the results of the research reinforce the argument that the behavioral tendencies of investors can be the source of changes in liquidity. Manuscript profile
      • Open Access Article

        4 - Effects of globalization, economic growth, financial development on ecological footprint in Iran (quantile regression analysis)
        Maryam Mohammadi Nia Gholamreza Abbasi Bijan Basri Reza Rahimi
        Background and Objective: Economic growth and financial development have brought unfortunate consequences, especially in the field of environment and natural resources, because most of the economic activities are closely related to the environment, and in fact, it can b More
        Background and Objective: Economic growth and financial development have brought unfortunate consequences, especially in the field of environment and natural resources, because most of the economic activities are closely related to the environment, and in fact, it can be said that the fate of the environment and the economic growth of societies are dependent on each other. In this study, the effects of globalization, economic growth, and financial development on the ecological footprint in Iran have been investigated. Material and Methodology: Quantile regression model was used for this research and for the time period of 1360-1400. This method has gradually become a comprehensive method for statistical analysis of linear and non-linear models of response variables in different fields. Findings: Based on the results; in the first and second (lower) quadrants; Economic globalization, economic growth, energy consumption, financial development, and population density have a positive effect on Iran's ecological footprint, and from the third and fourth quarters onwards, the intensity of its influence on Iran's ecological footprint increases. In other words, the indicators of globalization, economic growth and financial development in the first quarter (Q25) and second quarter (Q50) have a positive temporal correlation with Iran's ecological footprint. Then, as the lag components move away and move towards the third (Q75) and fourth (Q95) quartiles, the correlation between the study indicators and Iran's ecological footprint increases. Discussion and conclusion: In Iran, due to the abundance of energy and natural resources, the price of energy is low, which has caused excessive and incorrect use of energy. Granting banking facilities with easy conditions, tax exemptions and such for producers of gas and electric appliances with high energy efficiency and imposing heavy taxes on the other hand, lack of financial support and lack of licensing for producers of energy-intensive appliances with low energy labels, granting customs discounts for Importing gas appliances with high efficiency and not allowing entry or high customs duties for importing gas appliances with low efficiency can be useful in reducing energy consumption and ecological footprint. Manuscript profile
      • Open Access Article

        5 - A Study of the Bidirectional Relationship between House Prices and Rental Prices in Iran: A Bootstrap Approach using Quantile Regression with MCMB-A Method
        roya aleemran seyed ali aleemran
        The objective of this research is to examine the bidirectional relationship between house prices and house rental prices in Iran from the first quarter of 2002 to the fourth quarter of 2019. Granger causality tests and the bootstrap approach of quantile regression, spec More
        The objective of this research is to examine the bidirectional relationship between house prices and house rental prices in Iran from the first quarter of 2002 to the fourth quarter of 2019. Granger causality tests and the bootstrap approach of quantile regression, specifically employing the MCMB-A Method, are utilized for the investigation. The results of the Granger causality test indicate a two-way causal relationship between house prices and house rental prices. The bootstrap method of quantile regression reveals that, across all deciles, house rental prices exert a significant positive impact on house prices. Notably, the coefficient of house rental prices exhibits an increasing trend from the first to the sixth decile, reaching its maximum value in the sixth decile, and subsequently decreasing from the seventh to the ninth decile. Additionally, across all deciles, house prices demonstrate a significant positive impact on house rental prices. Throughout the deciles, the coefficient of house prices experiences a decreasing trend from the first to the fourth decile, reaching its lowest value in the fourth decile, followed by an increasing trend from the fifth decile to the ninth decile, reaching its maximum value in the ninth decile. Manuscript profile
      • Open Access Article

        6 - نابرابری مصرف در خانوار روستایی ایران
        علیرضا کیخا محمد جواد خسروسرشکی
        این مطالعه با هدف بررسی نابرابری مصرف خانوارهای روستایی ایران و تعیین عوامل موثر بر آن انجام شده است. ابتدا نابرابری مصرف را با استفاده از آمار درآمد و هزینه خانوار منتشر شده توسط مرکز آمار ایران در سال 1398 اندازه گیری می کنیم و سپس تأثیر عوامل جمعیت شناختی مهم خانوار More
        این مطالعه با هدف بررسی نابرابری مصرف خانوارهای روستایی ایران و تعیین عوامل موثر بر آن انجام شده است. ابتدا نابرابری مصرف را با استفاده از آمار درآمد و هزینه خانوار منتشر شده توسط مرکز آمار ایران در سال 1398 اندازه گیری می کنیم و سپس تأثیر عوامل جمعیت شناختی مهم خانوار از جمله جنسیت، تحصیلات و نسل سرپرستان خانوار را بر نابرابری مصرف با استفاده از تحلیل ضریب جینی و رگرسیون چندکی مورد محاسبه قرار می­دهیم. تحلیل ضریب جینی نشان داد که گروه سنی و نسل سرپرستان خانوار در مقایسه با سایر ویژگی های جمعیت شناختی، بیانگر بهتری از نابرابری مشاهده شده در خانوارهای مورد مطالعه است. استفاده از رگرسیون کوانتایل برای بررسی اثرات نامتقارن عوامل جمعیتی مذکور بر توزیع مصرف سرانه خانوارها نشان داد که بخش‌های مختلف توزیع مخارج مصرفی به صورت نامتقارن به این عوامل پاسخ می‌دهند. درآمد خانوار تأثیر مثبتی بر توزیع مخارج مصرفی خانوار دارد، با این حال، اندازه اثر آن در سمت راست توزیع 60 درصد بزرگتر از سمت چپ است. اگر سرپرست خانوار زن باشد، یک میلیون و سیصد هزار تومان از سرانه مخارج خانوار نسبت به خانوار با سرپرست مرد کاسته می شود که علامت این ضریب در چندک­های مختلف منفی است با اینکه اندازه آنها متفاوت است. در نهایت، خانوارهای دارای تحصیلات عالی یا رده‌های سنی بالاتر، میانگین هزینه‌های سرانه بیشتری نسبت به سرپرستان کم تحصیلات یا جوان‌تر دارند. Manuscript profile
      • Open Access Article

        7 - Does oil price uncertainty affect the Tehran Stock Exchange index? Quantile regression approach based on wavelet transform
        Ali Sargolzaei Narges Salehnia Massoud Homayounifar S. Mohammad Qaim Zabihi
        Abstract Investigating the effect of oil price uncertainty on the Tehran Stock Exchange index is of great importance because with increasing uncertainty in oil prices, the systematic risk of the stock market index increases. On the other hand, in oil exporting countrie More
        Abstract Investigating the effect of oil price uncertainty on the Tehran Stock Exchange index is of great importance because with increasing uncertainty in oil prices, the systematic risk of the stock market index increases. On the other hand, in oil exporting countries such as Iran, oil revenues are among the most important and influential factors in macroeconomic variables and, consequently, financial market indicators. The present study investigates the effect of oil price uncertainty on the Tehran Stock Exchange index using the wavelet-based quantile regression model (MODWT-MRA) during the period April 2011 to April 2021 in Iran.. The results of the model estimate showed that with the increase in oil price uncertainty, the Tehran Stock Exchange index will decrease. According to the results, the effect of oil price uncertainty on the Tehran Stock Exchange index in the first few quantiles has a smaller coefficient than the final quantiles, so the negative effect of oil price uncertainty on the Tehran Stock Exchange index in recent months is more than the first months. Also, the coefficient value on the component 5 scale is much higher than the component 1 scale; Therefore, the negative effect of oil price uncertainty on the Tehran Stock Exchange index in the short run is much greater than the value of this effect in the long run. This is because in the long run, the investor will adjust to the uncertainty. Manuscript profile
      • Open Access Article

        8 - سنجش اثرگذاری عوامل اقتصادی درون شرکتی در شرایط نوسانات نفتی بر جریان نقدینگی در بورس تهران
        علی دهقانی فاطمه خیل کردی عبدالمجید عبدالباقی عطاآبادی