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Informal employment typically poses many problems for communities and governments. For example, most informal workers face problems relating to poverty and economic insecurity due to the lack of a social security organization and labor law in the informal sector. Informal employment also has detrimental effects on governments, such as incorrect estimates of GDP and tax cuts. Accordingly, identifying the factors affecting informal employment will greatly help economic policymakers to control this phenomenon. This study attempts to examine the determinants of informal employment in urban and rural areas of Iran between 2013 and 2019. To this aim, applying the urban and rural household income-expenditure survey in the mentioned period, the share of informal employment in the total employment was calculated. Preliminary data processing illustrates that, on average, 45.1% of urban employees and 74.6% of rural employees are engaged in informal occupations. The results of estimating the research model indicate that employees' level of education and marital status have an indirect (favorable) effect on informal employment in urban and rural areas. There is also a U-shaped relationship between age and informal employment. At the same time, being a man in urban areas and being a woman in rural areas increase informal employment.

The necessity to create stable and transparent economic conditions has made combating money laundering a universal policy on the agenda of parliaments and governments by all countries. This is currently the specific issue of the Iran monetary and banking system. In this regard, the infrastructural approach includes all effective dimensions of international anti-money laundering mechanisms such as Basel Committee indices and recommendations of the Financial Action Task Force, and the experiences of other countries show that applying factors of this approach can enhance Iran monetary and banking system internationally and decreases money laundering risk. In order to identify the challenges in this area and reach a model which includes a set of infrastructural factors in fighting money laundering, this study uses qualitative and quantitative parts; in qualitative part, the criteria raised by experts through face-to-face interviews and multi-stage coding, content analysis, and Fuzzy Delphi method, and in quantitative part, the criteria raised by questionnaire and factor analysis technique, and the RMSEA index have been used for fitting the model. Based on international guidelines, the proposed infrastructural model consists of functional, contextual, and structural dimensions and findings indicate that a systematic application of the proposed model improves the efficiency of anti-money laundering system and helps optimal management of anti-money laundering challenges of banks. In this regard, the relative weights of legal, political, geopolitical, and risk-taking components of the structural dimension highlight the importance and necessity of focusing on this dimension and its components of the Iran banking system.

Human capital is a hidden variable. In different economic studies, various proxies have been used as a proxy for human capital, including the average literacy index, the number of graduates or the average number of years of schooling. This study will review the economic literature first, and then the three pillars of human capital index including education variables, skills and health will be analyzed for the Iranian economy. In addition, by using fuzzy approach and Mamdani Fuzzy Inference System, the human capital index in the Iranian economy during the 1981-2019 period will be estimated. The results of this calculation shows that during the period under study, the human capital index has continuously grown; in 1981, the index was estimated at 0.13 and 0.59 in 2019. On this basis, it can be stated that human capital in the Iranian economy during the 1981 to 2019 period has grown significantly. This accumulation of human capital can be seized in the production processes, leading to increase in production and productivity..

This paper investigates the factors affecting export diversification in Iran. As deducted from heterogeneous trade theory, the main variables of interest in this paper's baseline specification are entry and trade costs. For this purpose, Theil index is calculated for export diversification. This index is obtained for ten selected two-digit commodity codes in the HS coordinate system. Then the basic model is introduced and estimated by the generalized least squares (GLS) method. Estimated results show that diversification depends negatively on domestic and foreign market entry costs. Therefore, reducing the unnecessary rules for setting up enterprises, customs regulations, creating transportation and financial facilities can help to improve the Iran's export diversification.

In this study, we examine the correlation between stock returns of Export-oriented (EOIs) and Import-oriented (IOIs) industries and exchange rates, to derive stock-exchange optimal weights, attempting to manage the risk of investors in the capital market. To do so, the ADCC and DCC models are used. The data consists of the stock return of the listed industries, and the daily exchange rate from 2008 to 2020. The results suggest that EOIs have a dynamic asymmetric conditional correlation, and IOIs have a dynamic symmetric conditional correlation with the exchange rate. Moreover, the results indicate that in both currency crises, the weight of optimal portfolio in all industries except pharmaceuticals, in non-crisis period is over 50% and in the crisis period is less than 50%. Accordingly, and to reduce the risk of the portfolio, in the non-crisis period, investors should invest more than half of a one-Rial portfolio to dollar exchange, and in the crisis period, they should allocate less than half of a one-Rial portfolio to this currency. In case of the currency crisis, it is suggested that investors invest in the stock of basic metals, because this industry is a pioneer in attracting currency crisis and increasing stock value of the industry through future cash flow and replacement value, and reduce the stock of pharmaceuticals and computers in their portfolio, due to attracting negative effects of the exchange market.

One of the essential factors that lead to severe disruptions in financial markets is price bubbles and subsequent crashes. Numerous models for detecting bubbles have been developed, one of which (LPPLS) has lately attracted considerable interest. This study aims to utilize this model to detect price bubbles in Tehran Stock Exchange's index (TEDPIX). Confidence multi-scale indicators for this model are presented by fitting the LPPLS model to the data of the TSE index from 2009 through 2020. The bubble is detected when the number of fits that are in our filter conditions increases which means the growth of the indicator's value. By applying this method on TSE data two significant crashes in 2013 and 2020 are detected. The proposed technique can be useful for market participants to detect financial crashes and bubbles.

Risk parity is perceived as one of the stock portfolio selection models that have received a lot of attention since the US financial crisis in 2008. The philosophy of this model is to allocate the same amount of portfolio risk between the constituent assets. In the present study, the combined portfolio selection model of relative robust risk parity is introduced, which uses the worst-case scenario approach on the covariance matrix parameter appearing in the robust risk model in portfolio robustness. According to historical data, several scenarios are considered for the covariance matrix. The objective function value of the hybrid model for each portfolio (feasible point) is the worst result (with most volatility) among the set of scenarios. Finally, the model selects a portfolio for which the worst possible result has the least relative volatility. The research portfolio consists of 8 industries from Tehran Stock Exchange in the period 2011 to 2020. This portfolio has a higher Sharpe ratio than conventional models of mean-variance and weight parity, and is more resilient to market declines than the two models and produces less loss. Therefore, risk-averse investors are advised to use this stock portfolio selection model as a cover to face severe market declines.

One of the most critical investment issues faced by different investors is choosing an optimal investment portfolio and balancing risk and return in a way that, maximizes investment returns and minimize the investment risk. So far, many methods have been introduced to form a portfolio, the most famous of the Markowitz approach. The Markowitz mean-variance approach is widely known in the world of finance and, it marks the foundation of every portfolio theory. The mean-variance theory has many practical drawbacks due to the difficulty in estimating the expected return and covariance for different asset classes. In this study, we use the Hierarchical Risk Parity (HRP) machine learning technique and compare the results with the three methods of Minimum Variance (MVP), Uniform Distribution (UNIF), and Risk Parity (RP). To conduct this research, the adjusted price of 50 listed companies of the Tehran Stock Exchange for 2018-07-01 to 2020-09-29 has been used. 70% of the data are considered as in-sample and the remaining 30% as out-of-sample. We evaluate the results using four criteria: Sharp, Maximum Drawdown, Calmer, Sortino. The results show that the MVP and, UNIF approach within the in-sample and, the UNIF and HRP approach out-of-sample have the best performance in sharp measure.

Compared with net earnings, the components of earnings are more informative in companies whose components have different qualities of persistence and volatility. We examine the issue of whether net earnings together with their components have more information content than only net earnings. We construct a model to describe the effect of components volatility and their persistence through disaggregation of earnings value relevance and predictability. The analyses in our study are based on 600 firm-year observations in Tehran Stock Exchange (TSE) for the period 2005- 2019. Data are derived from RAHAVARD NOVIN Iranian software and firms' financial statements. The statistical tests for data analyses are the difference of means test (t-test) and regression analyses. The results of the current study indicate that as the persistence and volatility of selected components of earnings (sales, employee expenses, other selling, general and administrative expenses, and income taxes) increase, earnings disaggregation can improve earnings predictability. Furthermore, when the volatility of employee expenses increases, disaggregated earnings can improve earnings value relevance. As the value relevance of net earnings has been declined over the past decades, the results of the current study suggest that earnings disaggregation plays a major role in improving earnings value relevance and their predictability.

It is necessary for decision-makers to have a rating system in the banking industry in order to reflect the banks' status and performance. Although most institutions across the countries have rating banks and financial institutions, there is a lack of a comprehensive rating system across Iranian banks. Rating requires identifying the appropriate criteria according to the environmental and macroeconomic conditions. For this purpose, 35 components are determined through the opinion of 34 banking and academic experts using the Delphi method and rating is done by the TOPSIS method for 15 banks listed on the Tehran stock exchange over the period of 5 years from 2015 to 2019. The results show that in addition to the quantitative aspects, the qualitative aspects and aspects related to environmental and macro aspects are effective in the native model of banks ratings. Also, there is a positive and significant relationship between banks stock prices variation and the suggested ratings. The obtained results showed that there is a positive and significant correlation between the comprehensive model and early warning system so that the bank's position can be relatively described in the early warning system by identifying it within the model. This evidence addresses the need for a comprehensive consideration of proposed indicators to evaluate and rate banks.

The purpose of this study is to identify the pattern of quantitative changes in budget bills in the Iranian parliament. Analyzing the Iranian parliament's role in budgeting shows that 30 percent of the general budget increases have occurred in the parliament in the 24 past years. The parliament has played a stabilizing role and increasing public expenditures. Political alignment periods have not made a significant difference in budget changes in parliament. In the political change years (the last year of the government and the first year of the parliament), the total growth of the general budget expenditures of the bill has been significantly higher than the other years. Organizations outside the executive branch have more bargaining and rent-seeking power. They have the largest budget increases in the parliament by a share of 76 percent. The study shows that the parliament in Iran has unlimited powers in amending the budget bills. This conclusion is without considering the qualitative changes in the notes of the single article of the budget؛ if these qualitative changes are also considered, the role of the parliament will increase in the budget changes.

Banks have a considerable ability to use financial leverage compared to non-bank firms to earn high profits and returns with support of the central bank as a last resort lender. The ability of banks to use leverage depends on internal characteristics such as size, profitability and risk, as well as environmental variables such as inflation, which affect the Business cycle. This study aims to find the effects of these variables on the dependency of banks on financial leverage in recession and booms periods. To this end, Hodrick-Prescott filter was used to extract business cycles. The Generalized Method of Moments (GMM) based on the data from 18 Iranian banks during 2005-2018 was used in order to test the research hypotheses. The results show that larger banks are more inclined to leverage and economic conditions have no significant effect on this desire. Banks with better financial stability and less risk rely on lower financial leverage in times of economic prosperity. The effect of profitability criteria on the leverage of banks depends on economic conditions. In times of economic prosperity, banks with better profitability have a higher incentive to leverage. Also, how the inflation affects the financial leverage of banks depends on the economic conditions. During an economic boom, inflation encourages more reliance on leverage in banks.

The main purpose of this study is to estimate the probability of banking crisis using the second generation of early warning systems (logit models), for 13 selected high-middle income countries over the period of 1980-2016. In this regard, two types of logit models; binomial and multinomial, are estimated. The results of estimated binomial logit model show that three leading indicators of the crisis are broad liquidity ratio, stock price index and inflation, which are the main causes of crisis in the studied countries. These variables account for about 17 percent of the probability of a banking crisis. Then, to avoid post-crisis bias, the multinomial logit model is estimated. The empirical results confirm that above three leading indicators are warning. Also, among the above three variables, only stock price index variable with a probability of 12.68%, causes the economy to exit the banking crisis and change its situation from the crisis/recovery period to the tranquil period. The multinomial logit model exhibit significantly better in-sample predictive abilities than the binomial logit model.

Since the beginning of the 2010s, the investment in Iran has experienced a continuous and severe fall and the level of the total real investment at the end of 2018 has approximately reached its 2002 level. In this paper, we show that the fluctuation of the investment (in machinery) up to the beginning of 2010s can be explained by the use of a regression model which includes macroeconomic variables as well as measures of instability in macro environment. However, this model is not able to predict the investment drop during the 2010s and it seems that other factors play a crucial role in the severe fall of the investment in this decade. We will introduce “Political Conflicts” and “Economic Policy Uncertainty” as two indices which are constructed by applying the text analysis method to the press and digital media from 2002 to 2019. The trend of these two indices show a high degree of uncertainty during the recent decade. We will show that the “Political Conflicts” index can explain the investment drop in the 2010s.

This study investigated the factors that leads to economic uncertainty which may influence the petrochemical companies returns in various market conditions regarding their various levels of capital. To meet this object, we used quarterly data on government’s current expenditures, general government revenues, liquidity, GDP, and exchange rate, as the political variables for the years 1384-1397. Considering the type of available time series, we exercised the ARIMA-GARCH model to create an indicator to show the uncertainty of economic policies. We used the result to estimate the quantile regression model, along with other factors affecting corporate returns, including the price of the OPEC oil basket and the real rate of returns and market exchange rate. The results of this study indicated that in the bearish market, the greatest negative effect of each economic policy uncertainty is on the companies with lesser capital. Moreover, the intensity of this effect decreases as the market tends to change from bearish to bullish, and finally the economic policy uncertainty will have the least impact on companies with bigger capital.

In oil-exporting countries, it is important to have a clear evaluation of the oil sector at the national and regional levels. In input-output literature, the traditional and extraction methods are often used to analyze the status of economic sectors. These methods have two major shortcomings: double-counting of linkages and having a flaw to show the changes in income of the labor. In this paper, to overcome these shortcomings and to provide a more realistic picture of the status of the oil sector at national and regional levels, a comparative comparison has been used between Iran and Canada focusing on their two major oil-exporting provinces, Khuzestan and Alberta. For this purpose, the production-to-production approach based on the Sraffa-Pasinetti-Leontief theoretical model which its main concept is the induced effect of value-added will be used. The results show that the oil sector creates 0.0435 and 0.0372 units of induced value-added in Iran and Khuzestan. In Canada and Alberta the corresponding figures are 0.3173 and 0.4382. Therefore, this sector has more interdependency with the other sectors in both national and regional levels in Canada (as a well-developed country) than Iran (as a developing country). However, services and industry sectors absorbed more decomposed induced value-added of the oil sector in comparison to other sectors. Therefore, national and regional policies should be implemented to have diversified products and prepare the requirement of having the most of interdependency prerequisites between the sectors.

Many of the common natural resources of the world are in critical conditions. The solution to this crisis is the development of effective management institutions. However, there is no consensus on these institutions. Some economists believe that creating a privately owned entity can solve the management problems of these resources. Others support the control of resources by the central government. Some institutionalists consider the local management strategy as the solution to this crisis. In this study, an empirical meta-analysis was performed to examine what solution the Iranian studies on the management of water (as a common natural resource) have favored more and what factors they have considered for its success or failure. For this purpose, about 120 articles were collected from the Database of National Publications (Magiran), Noor Specialized Magazines Website (Noormags), Scientific Information Database (SID) of ACECR, and Comprehensive Portal of Humanities using ‘water management’ as the keyword. Seventy-three of these articles were related to the subject of the current study. The results of this research showed that most of these studies (about 70%) used a local participatory management solution and in order to investigate the reasons for its success or failure, they paid more attention to physical factors than institutional rules and arrangements. Thirty percent of the studies supported the market or government solution. In conclusion, this study suggests that more comprehensive approaches such as Ostrom’s analysis be used in future studies to find the most appropriate management method and its effectiveness in analyses so that common resources such as water can be managed more efficiently.

Out of 64 possible catastrophic events in the whole world, about 34 of them have been experienced in Iran; more than 80% of the regions are exposed to natural disasters risks such as earthquakes exposure. Domestic insurance capacity does not cover this volume of risk and the need for external reinsurance capacity is always felt. Catastrophe bonds structure as a financial & insurance innovative solution (Alternative Risk Transfer Instruments) allows an issuing institution to transfer catastrophic exposures and risk to capital market's investors by creating capital relief and additional risk capacity for our insurance industry. We adjusted the formal cat bonds structure with the Islamic jurisprudence. According to the systematic review research method 8 steps, the Sukuk model was implemented based on the extracted concepts from 23 Farsi articles and 50 English articles. After that interviews by 18 experts who were selected by purposive & Snowball sampling, The Delphi method was used to obtain the opinion of experts and their opinion was modified and implemented in the final model. In the open coding stage, 415 concepts were extracted which were classified into 10 categories and finally presented in 4 Propositions/themes. The trustworthiness and authenticity did base on the four-stage model of Lincoln and Guba and also its complementary step. We finally suggested that the catastrophe bond instrument could be issued in the form of a cat takaful (CT) sukuk contract template, as a solution for transferring catastrophic risks to the Islamic financial market.

A manager’s personality and psychological attributes may influence his or her performance, thereby affecting the quality of financial reporting by companies. On the one hand, today there is an increasing requirement for protecting the interests of investors as providers of investment and the most important group of accounting information and financial report users. The development of audit committees is among the mechanisms expected to be effective in protecting the interests of different groups of accounting information and financial report users. In order to act effectively, an audit committee must be independent. Therefore, the present study aims to examine the role played by the independence of audit committee members as a quality of an audit committee to identify how it may moderate the relationship between managers' narcissism and real earnings management in the firms listed in the Tehran Stock Exchange (TSE) using a statistical sample consisting of 642 observations (year-firm) over the period 2013-2018. The findings obtained through hypothesis testing using statistical analysis of panel data suggest that independence of audit committee members does not moderate the relationship between CEO's narcissism and real earnings management through abnormal cash flow, real earnings management through abnormal production, and real earnings management through abnormal discretionary expenses. Thus, the independence of audit committee members as a moderator cannot moderate the relationship between CEO's narcissism and real earnings management

In this research, the impact of clear rumor declarations on the measurement of abnormal stock returns behavior has been investigated in Tehran Stock Market by means of event research so that to reveal well abnormal stock returns behavior. Following testing 169 clear rumor declarations during the period (2017-2019), Using Spss statistical software version 26 and Eviews version 12, the results of regression analysis and correlation tests indicate that content of clear rumor declarations may affect abnormal stock returns behavior. Confirmation of good rumors has increased the efficiency of abnormal stock returns 10 days after the date of the given declaration and approval of bad rumors has led to reducing the efficiency of abnormal stock returns upon declaration day. Similarly, the results showed that if rumors were disclosed during working hours in Tehran Stock Market they would reduce the efficiency of abnormal stock returns on the same day. After comparing the results of the research, the need to educate and promote the shareholding culture among shareholders is felt more than ever before. They also need to shift their focus from focusing on rumors to principled investing in futures stocks to avoid cross-sectional fluctuations, destructive rumors and other market risks and achieve a good return stock

This work aims to analyze the relationship between stocks in the financial market of the Tehran Stock Exchange embedded in their transfer entropy. In this regard, the behavior of the transfer entropy between indices of 180 corporations of the Tehran Stock Exchange has been studied. Then the footprint of crises of the market has been searched in the trends of the transfer entropy. The result has been compared with the result of the analysis imposed on the stocks included in the Dow Jones industrial index in the stock exchanges of the United States. In order to investigate the financial crisis of the Tehran Stock Exchange, the stock price data of 180 companies in this market that were active in the period from 2008 to 2018 are analyzed. It is observed that the average pairwise transfer entropy of indices in the Dow Jones group declines over the financial crises in the United States. In Iran, despite the United States, the financial crises have not left a footprint in the pairwise transfer entropy over the studied period. Such an observation suggests future studies on the pairwise and possibly collective behaviors of indices in Iran and the United States.

The modeling of strategies for buying and selling in Stock Market Investment has been the object of numerous advances and uses in economic studies, both theoretically and empirically. One of the popular models in economic studies is applying the Markov Switching models for forecasting the time series observations based on stock prices. The semi-parametric estimators for these models are a class of popular methods that have been used extensively by researchers to increase the accuracy of estimation. The main part of these estimators is based on kernel functions. Despite the existence of many kernel functions that are capable in applications for forecasting the stock prices, there is a widely use of Gaussian kernel in these estimators. But there is a question if other types of kernel function can be used in these estimators. This paper tries to introduce the other kernel functions that can be a good replacement for this kernel function to increase the ability of Markov Switching models. We first test six popular kernel functions to find the best one based on simulation studies and then offer the new strategy of buying and selling stocks by the best kernel function selection on real data.

Investor sentiment is one of the non-fundamental factors that affect the financial markets, which itself is influenced by various factors, including oil price changes. This study aims to investigate the impact of oil price on investor sentiment in stock market industries in the Tehran Stock Exchange (TSE) using monthly data from April 2010 to June 2020. To investigate this issue, stock exchange industries were grouped into three categories: total industries, oil-related industries, and non-oil industries, and the effect of oil prices on investor sentiments in these three groups was examined using the pooled mean group (PMG) technique. The PMG approach considers both the short- and long-run relation between series and provides reliable results in the context of dynamic heterogeneous panel models. The implementation of PMG in all three models shows the impact of oil prices on investor sentiment over both the short and long run. Findings suggest also that oil price has positive and significant in all three models in the long run and the oil price coefficient is higher in oil-related industries than non-oil-related industries. These results are the opposite of the results obtained by similar studies, which can be due to the special features of countries, e.g. being oil exporters or oil importers

Since moral hazard in behaviors of banking system may jeopardize efficiency of debt mechanisms to fund rising, it is important to examine the empirical and theoretical evidences of moral hazard in the Iranian banking system. Risky behavior of banking system is caused by the asymmetric information problems between creditors and central bank. This paper considers the simultaneous effects between changing risk and leverage that justifies existence of moral hazard in the Iranian banking system. To do so, we use dynamic panel data model for the period 2006-2019 in Iranian banking system. According to the obtained results, there is a significant positive relationship between the level of risk and leverage. This relationship implies the existence of moral hazard that can be caused unsuccessfully performance of central bank in supervision and supporting in the banking system.

In recent decades, the effect of financial development on real sector growth has been discussed from different aspects. This paper focuses on financial structure and explains the role of bank-based and market-based financial structures on economic growth by classifying the literature. Using the FMOLS method for the period 1979-2016, the effects of financial structure and banking structure on per capita GDP and sectors’ growth (agriculture, industry, and services) in Iran are estimated. Empirical findings indicate that discriminating policies and bias in financial structure in favor of a specific sector has a negative effect on real sector growth, especially agriculture and industry. Therefore, in support of the design of a balanced financial structure, it is recommended that the state should avoid any intervention or discrimination in favor of a specific sector. In the case of banking structure, the findings show that increasing the financial strength of banks encourages economic growth.

Regional development policy based on the existing capacities of knowledge and innovation in the regions is one of the neglected issues in Iran's development policy. At present, there is no serious difference in providing solutions for different provinces, while the provinces of the country are different both in terms of the level of knowledge and innovation and its absorption capacity. In this research, based on the review of existing studies and new principles of measuring regional innovation capacity, a suitable framework for measuring innovation capacity is presented and accordingly, the innovation capacity of the country's provinces is measured. Results showed that in proportion to the decrease or increase in the level of development of regions, the innovation capacity of regions also increases or decreases. Innovation capacity has also decreased in proportion to the increasing geographical distance from the center of the country. Hence, Sistan and Baluchestan province has the lowest level of innovation capacity and provinces around Tehran such as Semnan, Karaj, Qazvin and Qom, have relatively high levels of innovation capacity. Nevertheless, Ilam and Bushehr provinces are in the first to fifth place among 31 provinces in terms of innovation capacity due to two important factors: 1. Small population and 2. Existence of oil and gas industries.

The unstable state of macroeconomic indicators such as gross domestic product (GDP), investment, and inflation rate, as well as the disproportionate level of high volume of cash held by private individuals versus the low volume of liquidity in manufacturing firms, have always been a significant problem in Iran's economy. In this respect, the relationship among the stock market, bank deposits, and speculation in the foreign exchange market, and also, the central bank's role in directing liquidity between them to affect the macroeconomic indicators are important. The current study evaluates this subject for 1988–2018 using a system of simultaneous equations and the three-stage least squares (3SLS) method. The findings indicate that there has been a significant negative relationship among the stock market, bank deposits, and foreign exchange speculation. The stock market and bank deposits have had a significant positive effect on investment and GDP, and in contrast, foreign exchange speculation has shown a significant negative impact. Conversely, bank deposits have negatively impacted the consumer price index (CPI), whereas foreign exchange speculation has shown a substantial direct effect. Finally, despite the existence of a significant negative relationship between three financial markets in the Iranian economy confirmed by the obtained results, the central bank has forfeited a considerable portion of its potential effectiveness in directing liquidity between parallel financial markets to affect nominal and real economic indicators due to interest rate repression.

According to the Heckscher-Ohlin-Vanek (HOV) theory, besides labor force and capital other production factors such as energy and indicators of environment quality may affect exporting potentials of goods and services in an economy. Accordingly, the objective of this paper is to explore the effects of the main determinants, particularly carbon dioxide emission intensity, which is a proxy for environment quality, on the net exports of the selected manufacturing products (auto parts and petrochemical products) between Iran and its major trading partners. Basically, an econometric model for Iran’s net exports is applied to these trading products specifying two panel regression equations using the data of 21 Iran’s partners over 2000-2019. Empirical results have been obtained by estimating two regression equations of auto parts and petrochemical products net exports using panel GLS method. Based on the empirical results, there is a significant and negative effect of the ratio of Iran’s carbon dioxide intensity to that of its trading partner on net exports of auto parts, which implies a decrease in the trade deficit of these products. In contrast, the results show that the environmental quality significantly and negatively affects the net exports of the petrochemical products implying a rise in the ratio of Iran’s carbon dioxide intensity to that of its trading partner, which decreases Iran’s net exports of the petrochemical products.

This article examines the theory of network-based economics (two-sided markets) and considers payment cards in Iran as a case study. Based on the monthly data of the Central Bank of Iran and the payment cards of electronic networks in Iran (SHAPARAK) from Dec. 2014 to March 2019, demand elasticity and monopoly power have been estimated. The results show that the elasticity of the cardholder and the card acquirer with respect to the interchange fee rate is 0.55 and nearly 1 (1.04), respectively. These results show that the cardholders have smaller elasticity to interchange fee compared to acquirer of payment cards. The estimated market power indicates that the payment card network in Iran is highly monopolistic. The payment card platform in Iran (SHAPARAK) does not impose its market power on the buyer side (card holders) and subsidizes them in order to create balance in transactions, but this platform impose exclusive power on merchant side (card acquirer) of payment cards. With this policy, card holders are attracted to the market which increase trading on the platform and platform profits. In general, on the buyer side of Iran payment card we have P = MC but on the merchant side P> MC. Therefore, the regulatory authorities in Iran must regulate SHAPARAK market power.

The present study investigates the effect of coronavirus outbreak and exchange rate and oil price variables on the stock market index using Markov Switching model during the period 1398/11/30 – 1399/03/27. The results show that exchange rate growth has no significant effect in the high regime of the stock market index and has a negative and significant impact in the low and medium regimes. The growth of oil prices has had a negative and significant effect on all stock market index regimes. Also, in the high regime of the stock market index, the prevalence and increase in the coronavirus cases will lead to a decrease in the stock market index, and on the contrary, in the low regime of the stock market index, the prevalence and increase in the coronavirus cases will increase the stock market index. In the high regime of the stock market index, the coronavirus outbreak can lead to a decrease in the stock market index and the outflow of capital from the stock market and transfer to other parallel markets such as currency and housing can occur, and speculation increases.

This paper concentrates on the modelling of optimal stock portfolio selection based on Risk Assessment and Behavioral Financial Approach Mental Accounting and 28 expert’s opinion. In this approach developing the model approved by the opinion of academic and practical experts using quantitative and qualitative methods. Using quarterly return data of industrial indices for ten years in form of eight training and two test years indicates that the performance of DMSS and MVO based portfolios is equal however by regarding the value at risk and liquidity constraints in modeling, DMSS based portfolios perform higher than MVO portfolios.

Added over the period 2006-2018. We focused on different proxies of corporate governance indicators, such as the Directors' Effectiveness, the Transparency and the Disclosure, Responsibility. Basel Principles have been used to make corporate governance indicators and Stern & Stewart and Chew (1995) method have been used to make banking economic value added. We used the PCA method to choose important indicators. The results of PCA estimation identified ten important variables affecting banks' economic value added. Due to the importance of banks' age in creating economic value-added, banks are divided into two classes according to age. The GMM method is used to estimate the models. Eight models were designed to examine the impact of different corporate governance measures on the banking economic value added. The results indicated that corporate governance indicators were significant in explaining changes in the Iranian banking economic value added. The result also shows that according to the banks' age, the effectiveness of the board structure is greater than others. This illustrates the importance of board structure more than other criteria.

One of the most fundamental factors in pricing and evaluating the performance of companies is their profitability and profit is used as a basis for predicting the future performance of companies. Therefore, an accurate profit prediction is really crucial and decisive. There are various approaches to this prediction. The first approach would be calculating profit according to accounting standards by using historical cost and the second, calculating profit according to fair value. In this circumstance, this question arises that whether fair values are used instead of historical cost, would it lead to a more accurate and better prediction of the company's future performance?The purpose of this study is to investigate the effect of using the fair value in calculating profits on the performance of investment companies with the help of benchmarking international financial reporting standards for small and medium-sized units.This research uses the data of 95 companies listed on the Tehran Stock Exchange, whose activity is an investment, from 2015 through 2019 and compares the predictability of fair value-based profits with the profit based on accounting standards in predicting the company's operating cash flows and future profits. The data is first collected in Excel software, then the research variables are calculated and finally, research models are tested and analyzed by Eviews10.The results show that fair value-based profit has no greater ability to predict the performance of investment companies in comparison to profit based on Iranian accounting standards.

The present study aims to investigate the needs of users in connection with the information of intangible assets in current financial statements with an emphasis on the way of disclosing non-financial information. For this purpose, the effect of the two independent variables of causal links’ discussion and level of non-financial performance on the financial performance of the firm, as the dependent variable, has been studied. The research is applied in terms of its objective and it is a survey in terms of the research design. The research population includes PhD students of accounting in top-ranking universities of Iran. Statistical methods, including test ratio, single-sample t-test, independent t-test, and one-way and two-way variance analysis have been used to test hypotheses. The findings show that the disclosure of non-financial intangible information along with causal links does not affect the judgment of investors with a low or high level of knowledge. However, it should be noted that the recall of the performance in terms of non-financial criteria by investors, who have a causal link discussion, is higher than others.

Corporate social responsibility (CSR) is a fundamental factor for the survival of any organization. Companies and institutions are active in a society that provides them various opportunities to earn profits and realize their goals. The increasing importance of corporate social responsibility and the costs required by companies to operate and participate in these issue has led to the purpose of this study to investigate the impact of corporate social responsibility on the managers' behaviors in companies listed on the Tehran Stock Exchange. This study is based on purpose, application and data analysis in the field of causal descriptive studies. In this study, the reflection of managers’ myopic and optimistic behaviors is considered as managers' behaviors. Therefore, two hypotheses were developed to investigate this issue, and data from 174 listed companies were analyzed from 2008 to 2018. The regression model of the research was evaluated using a panel data method with a fixed-effects approach and logistic regression method. The result showed that the fulfillment of corporate social responsibility has a significant negative effect on the optimistic behavior of managers and decreases this type of behavior by managers. On the other hand, the results confirmed that accomplishing corporate social responsibility does not have a significant effect on managers' myopic behavior.

Since the auditing profession is a process engaged in judgment activities, knowing the reasoning concepts to achieve a level of rationale in audit judgment is the theoretical and fundamental concept in this profession. In this regard, tactfulness is one of the decision-making components in an auditor's judgment that assigns a level of reasoning for making an intellectual decision and promotes the level of judgment quality in auditing. Accordingly, the purpose of this research is Auditors’ Wise Tactfulness in Professional Judgments by Total Interpretive Structural Modeling (TISM). The mixed-methods approach was used for the research in which, in the qualitative part, two experts population as panel members, and, in the quantitative part, 30 independent auditors as the statistical population participated. In the qualitative part, the meta-analysis approach was used to identify the themes related to wise tactfulness in professional judgment, and then, the basic themes selected were examined based on two criteria, concordance coefficient and average, in three rounds reciprocally until theoretical saturation was met. At this point, 14 themes were accepted among 20 basic themes. In the quantitative part, the themes accepted were coded first and then were distributed among the respective population, based on a matrix questionnaire, to identify the most effective trait of auditor's wise tactfulness in professional judgment using the Total Interpretive Structural Modeling approach. According to the results, the theme adherence to the principles of professional ethics as a basic theme of professional thinking was selected as the most influential trait of wise tactfulness.

The aim of this paper was to investigate the relationship between trade openness and inflation in selected developing and developed countries from 1990 to 2017 using a Panel data approach for testing Romer's hypothesis of relationship between inflation index and Trade Openness. The results of the paper show that the Romer hypothesis is rejected in both the studied groups (developed and developing). The results showed that the effect of trade openness on inflation rate was positive and significant in both groups. But the impact of trade openness on inflation has been greater in developing countries. The effect of money supply on inflation was positive and significant in both groups. According to other results of this study, GDP had a significant and negative effect on inflation. Also, the exchange rate has not been a determinant of inflation in developed countries but in developing countries it has had a positive effect on inflation.

In some economic theories emphasizing the positive relationship between financial and real sector development in economy, privatization of financial markets and institutions and increasing private sector share is the dominant approach to financial development. However, private banks performance in some countries have shown different results compared to the goals had been set. Lack of proper economic and institutional environment has led to adverse results of private banks. Considering mentioned issues, this study aims to assess the impact of private banking on the economic growth rate in Iran based on the seasonal data form 2003 till 2018 using Autoregressive Distributed Lag (ARDL) technique. Results of the study have shown that financial development has a positive impact on the growth rate of economy, while, as the market share of private banks has increased, it had a negative effect on the economic growth. The main cause of this negative relationship is undesirable institutional environment which private banks are working in. Therefore, preparing suitable institutional framework is a condition to gain the private banks’ advantages. Central bank constant supervision alongside the enforcement authority prohibiting private banks from managing economic firms and the presence in the alternative markets are the main preconditions.

Economic complexity is a concept that is used to express the ability of countries to produce complex products through the proper construction of technology structures in order to collect its diverse technologies and apply them. In this article, by using economic complexity approach, we aimed to identify the products in Iran’s technological capabilities frontier that leads the country to produce more diverse and complex products. For this purpose, by using four-digit SITC classification data, 86 products were identified. By producing and exporting them, the country can reach a higher accumulation of technological capabilities and thus a higher degree of diversification and economic complexity. Also, according to three criteria, the total number of competitors, the volume of world trade and the number of importing countries from selected products, 16 products in the world and 11 products in the region were picked up as the products in priority.

Replacement of labourers by robots and automation has been one of the oldest concerns in the labour market, and many people have attributed rising unemployment to the growth of innovation and technology. Some researchers have linked the impact of technology on employment to breadth and depth of markets. Available evidence suggests that the impact of innovation and technology on employment depends on the international competitiveness of countries and the quality of their workforce. Since the economic complexity index measures both exports and the level of available knowledge in economies, it can be a good candidate for considering the breadth and depth of markets. The present study examines the effect of economic complexity on unemployment by controlling for GDP and inflation and asks whether there is a level of innovation determining the relationship between the economic complexity and unemployment. For this purpose, we use a panel threshold regression for a period 2008- 2017. Findings show that the relationship between economic complexity and unemployment is non-linear. Moreover, there is the evidence of substitution of labour by robots when the innovation index is in the range of [0.456, 0.493).

One of the prevalent theoretical models for understanding the historical roots of the underdevelopment of various societies is the new institutionalist theory of institutional quality improvement which emphasizes the fundamental origins of economic growth. According to this theory, societies with inclusive institutions will experience a sustainable economic growth and development by creating a creative destruction process and a generative rent distribution while moving toward evolutionary cycles. Societies with extractive institutions, however, will lag behind and decline in the long run due to the dominance of rent relations and the non-generative rent distribution while moving toward vicious cycles. During the second Pahlavi period, despite its short-term experience of economic growth, Iran moved to vicious cycles instead of evolutionary ones; therefore, in order to investigate this issue, the reasons for the lack of sustainable economic growth during this period will be addressed using the theory of institutional quality improvement. To this end, one of the most important institutional barriers to economic growth in this period will be addressed through examining the process of creative destruction on the political and economic market. The results of this study indicate that despite experiencing the short-term economic growth achieved under the shadow of extractive institutions during this period due to factors such as power struggles, dominance of personal relations over affairs, the non-generative rent distribution etc., the process of creative destruction did not take shape on the political and economic market, so that despite the abundance of sources of income and foreign aid, Iran could not maintain its economic growth and development.

The significant difference between the growth rate of liquidity and the rate of economic growth creates a kind of inflationary potential in the economy. Part of this difference occurs as overt inflation, but the other part will remain latently as potential inflation in the economy. Potential inflation should have appeared in the economy but was delayed, and this could cause inflation shock and inflationary uncertainty in the country's economy. Therefore, potential inflation is one of the main problems of any country that the fear of bursting and its occurrence causes instability and economic turmoil. The uncertainty resulted leads to huge bewilderment of investors and to reduced investment and employment. Residual factor and institutional quality is one of the factors affecting potential inflation. Because, with the improvement of the Residual factor, the appropriate institutional quality and the high rule of law and order, the concerns related to the growth of liquidity are eliminated. In this case, the growth of liquidity is commensurate with the economic growth and more growth in liquidity than economic growth is prevented. The purpose of this study is to investigate the effect of residual factor and institutional quality on the potential inflation of selected countries rich in natural resources for the period 1996-2019 using the fully modified ordinary least squares (FMOLS) method. The results of this study indicate that the variables of residual factor, institutional quality and exchange rate have a negative and significant effect on potential inflation. Also, according to the research results, the variable of government spending has a positive and significant effect on potential inflation.

Natural capital has been introduced in growth models recently in order to address the growth differences among the countries. In this context, the objective of this study is to examine the role of introduced indices for natural capital in Iranian economic growth. To get the objective, Solow neoclassical growth model using the data for 1980-2015 was applied. The applied indices include ecological footprint, biological capacity, ecological footprint-capacity difference, ecological tension, and agricultural land. The findings showed a significant fluctuation of the natural capital indices contribution to growth. Production elasticity with respect to ecological footprint found to be in the rage of 0.02-0.04 while the corresponding values for biological capacity and agricultural land tends to increase, ranging from 0.10 to 0.15. The corresponding values for physical capital fall into the range 0.12-0.17. In addition, the appropriateness of CES production function revealed the validity of constant returns to scale assumption in Iranian economy.

Value at Risk model based on a switching regime approach was used in this study to optimize portfolios consisting of industry index (petroleum products, investment, chemical products, and metal products). For this purpose, the VaR of returns on index should first be extracted through parametric models of the (GARCH) family in each of the above industries by using regime transitions. After the risk of return on index is obtained for each industry, the optimal portfolio is created in the next step based on VaR minimization, and the optimal value of each industry is determined in the portfolio. According to the results, (MRS-FIEGARCH) model had no superiority in VaR estimation over the other parametric models of the GARCH family. In fact (MS-EGARCH-t) was introduced as the optimal model. Among the designated industries, returns on indices followed regime transitions only in chemical products and investment by showing asymmetric reactions to external shocks. Moreover, the optimal weights were on the rise in the industries where VaR decreased over time, whereas the optimal weight of the portfolio decreased in the industries where VaR increased over time. The higher share of an optimal portfolio belonged to the industries where stock returns had lower rates of VaR. The risk-return-ratio was employed to show that the optimal portfolio with a risk rate was measured by considering the switching regime was superior over the optimal portfolio with a risk rate extracted without considering the switching effects. To create an optimal portfolio, it is then recommended to make investments in the industries characterized by higher stability in prices and lower fluctuations in stock returns in the long run. This approach can be employed to obtain the best results from optimal portfolio preparation in the worst-case scenario of the market fluctuations.

Information flow is a key parameter in an economic activity that acts as the main factor in the capital market emergence, stability, and efficiency. The purpose of the current research is to investigate the effect of the environmental points of cooperate governance on the pricing of information asymmetry. In this regard, we have extracted data related to companies accepted in the "Tehran Stock Exchange" from 2009 to 2018, and a panel-data regression model was utilized to test research hypnosis. The results show that information asymmetry and environmental points of cooperate governance have a significant effect on the expected return (cost of capital) on an investment. In addition, the effect of environmental points of cooperate governance on the relationship between the information asymmetry and the cost of capital has been verified. Finally, the results show that environmental points of cooperate governance leads to the differences in the cost of capital in the different levels of information asymmetry.

The present study's main objective is to assess the relationship between corporate reputation and different types of earnings management (accrual-based, real, and reductive earnings management). In other words, this paper attempts to figure out whether corporate reputation can contribute to the amount of accrual-based, real, and reductive earnings management or not. This paper's method is descriptive-correlational based on published information from listed firms on the Tehran Stock Exchange during 2012-2018 with a selected sample of 187 firms (1309 observations). The method applied for hypothesis testing is linear regression using panel data. The obtained results from hypothesis testing show that corporate reputation has a negative and significant relationship with accrual-based, real, and reductive earnings management, which means highly-reputed firms, are less likely to embark on different earnings management types. Since this paper analyzes the emergent financial markets, like Iran, with extremely competitive audit markets to determine the effect of corporate reputation on different types of earnings management of listed firms on the Tehran Stock Exchange, it can provide useful information in this field.

The primary purpose of investors is maximizing the utility that is characterized by two essential criteria include risk and return. Regarding investors' uncertainty about the future, one of the main ways to reduce risk is to diversify the investment portfolio. In this research, we proposed an index conducted by Euclidean distance for assessing portfolio diversity. Besides, we designed a multi-objective model to select optimal stock portfolios with considering value at risk (VaR), which is one of the critical indicators of unacceptable risk, portfolio Beta as systematic risk, and portfolio variance as unsystematic risk simultaneously. The model presented in this paper aims to maximize diversification while minimizing value at risk and stock risks. Furthermore, maximizing returns are considered as a limitation of this model. Since the proposed model is nonlinear and concerning computational complexity, it is NP-hard; therefore, we utilized the PSO and the GE metaheuristic algorithms that are improved for solving multi-objective problems to solve the model. The results of the model implementation in multiple iterations showed that the average yield of selected portfolios by the model is higher than the desirable condition. The evaluation of stock performance indicators also shows the satisfactory performance of the multi-objective model.

The primary purpose of this study is twofold: Firstly, using the Markov Regime Switching model throughout December 2008 to February 2020, it investigates and compares the nonlinear impacts of exchange rate movements and monetary policies on Petroleum Stock Index, PSI, in Iran. Accordingly, some control variables, such as OPEC oil price, inflation rate, and international sanctions, have also been used to model these relationships more accurately. Secondly, it is an empirical attempt to trace the historical changes in the PSI behavior through distinguishing the precise regime numbers, and the relationships between the exogenous variables and the PSI. Our results confirm that the effects of both exchange rate movements and monetary policies on the petroleum stock market return are direct and significant. More interestingly, the more we move from regime one to regime three, the greater the effects of the research variables on the index, except for the impact of OPEC oil prices. Our empirical findings further suggest as the effects of sanctions intensify, the influences of monetary policy and exchange rate movements would have a more significant impact on the petroleum stock index returns.