نشریه اقتصاد مالی
پیاپی 64 (پاییز 1402)

Network analysis is one of the methods of attention of analysts to analyze complex relationships in data in an intuitive way. One of the applications of network analysis is illustrating the relationships between different classes of assets. Identifying stock market dynamics is essential for actors, investors, and financial policymakers. The stock market is considered a complex system that shows its complex dynamics. The complexity of the stock market can have several reasons that the interdependence of stocks can be one of the most prominent of these factors. One of the most important concerns of people in the capital market is finding a way to present and analyze stock data of different companies. There are different companies in the stock market and portfolio managers and investors, in choosing the right stock portfolio, need to consider the best way to form a stock portfolio. This article discusses the formation of diverse and non-diverse portfolios through network theory. To conduct this research, the adjusted final price of 138 listed companies for the period 2017-01-01 to 2021-07-06, equivalent to 1648 trading days, has been used. To describe the effect between stocks, the Adjacency Matrix is used and using the optimal threshold, diverse and non-diverse portfolios are obtained. We implement the results of selected stocks for the portfolio using the Hierarchical Risk Parity (HRP) approach based on clustering methods and the results with three methods of Minimum Variance (MVP), Uniform Distribution (UNIF), and Risk Parity (RP) for both in-sample and out-of-sample periods are compared for both diverse and non-diversified portfolios. Finally, the results have been compared using the four criteria of Sortino, Sharpe, Maximum DD, and Calmar. The results show the superiority of the non-diversified portfolio approach in market downturns and the superiority of the diversified portfolio approach in other periods.

Considering the increasing development of the stock exchange market and its potential for creating economic growth and development of the country, it is very important to study the factors affecting this market and this issue is very important for all users of this market. The main purpose of this study is to investigate the effect of the manufacturing Purchasing Managers Index (PMI) on the stock price index in Iran. Therefore, the present study has used the monthly data from 2018:10 to 2022:11 and using the Granger causality method and Johansen co-integration to investigate the relationship between Purchasing Managers Index and total stock price index and manufacturing stock price index.The results indicate that there is a one-way causality from the growth of the manufacturing purchasing managers index to the growth of the total stock price index and the growth of the manufacturing stock price index. Also, based on Johansen's cointegration test, there is a long-term positive relationship between the growth of manufacturing purchasing managers index and the growth of total stock price index, and also between the growth of manufacturing purchasing managers index and the growth of manufacturing stock price index. Given that the increase in PMI indicates economic prosperity in the manufacturing sector, this positive relationship shows that, as expected, stock price indices react positively to improvement signals in the manufacturing sector and negatively to negative signals.

The purpose of this research is to explain and validate the effective factors in the tax audit quality improvement model. Since an important part of each country's macro decision-making is budget information and its related resources, and also a major part of social inequalities is caused by the lack of transparency in incomes and income gap, therefore identifying the factors that improve the quality model of tax audit And the evaluation of their relations can be a step in the direction of helping to fully secure the spending credits of the government's general budget, providing and increasing stable incomes, promoting tax justice and improving the structure of income distribution, helping the country's growth and development and realizing social justice. . The current research is an applied research. The data collection for the process of testing the designed model was done through a questionnaire and according to the categories obtained from the subsets of the main categories, and to measure the validity of the designed model from the structural equation model (analysis of quantitative data through confirmatory factor analysis ) and to test the hypotheses, PLS and SPSS software were used to analyze the correlation between variables and other tests. The findings of the research showed that the causal factors affecting the improvement of the tax audit quality model have a positive and significant effect on the central phenomenon categories affecting the improvement of the tax audit quality model. Also, the findings showed that the categories of the central phenomenon, background and intervening factors effective on the improvement of the tax audit quality model have a positive and significant effect on the strategic factors effective on the improvement of the tax audit quality model. Also, the findings showed that strategic factors have a positive and significant effect on the results.

Classical economics and the study of financial markets from a normative point of view have their foundations laid in the rationality of economic agents. The main hypothesis revolves around decision making under rationality. on the other hand,investors do not act as if they are rational,the contrary,exhibit many biases that lead to poor investment decisions in specific contexts.These cognitive errors are due to investors’ inability to certainly know market movements for the next periods, which inclines them to make biased decisions.This paper wishes to analyze the behavior of investors from Tehran Stock Exchange to see if they are prone to behavioral bias under the conditions of information shock. To achieve the research goal, data of 106 sample companies were collected in the period 2013-2020 and analyzed by descriptive-correlation analysis using multiple regression test. The results showed that there was only a significant relationship between internal information shock (fundamental changes in institutional ownership) and behavioral bias of investors' Loss aversion and Self-control Bias and no significant relationship was found with other internal and external shocks. Also, there is no significant relationship between internal and external shocks and behavioral bias of Information Salience.

The aim of the current research is to identify the needs, find talent, attract and retain human resources talent in the country's banking network in order to provide a policy model for the talent management system. The research method is qualitative and to analyze the text of the interviews and identify the criteria and indicators, the analysis and theme analysis technique was used, and the data were analyzed during three stages of primary, secondary and selective coding. The statistical population includes 15 academic experts related to talent management and human resource managers of banks, and a combination of targeted judgment methods and snowball methods were used to select the sample. According to the results, the model of the talent management system in the country's banking network is based on three main components of input, talent management process and output, and banks should move towards talent management based on the dimensions of these components and in this context Don't be hasty.

The purpose of this research is to compare the accuracy of models of discounting cash profits, discounting cash flows, residual profits and growth of abnormal profits in explaining the changes in the share prices of companies listed on the Tehran Stock Exchange during the years 1391 to 1398, considering the effect of the type of industry on the performance of these models. done. To carry out this research, the statistical sample, which included 105 companies, was divided into two groups: strategic industries and non-strategic industries. Then the aforementioned models were compared in relation to strategic industries and non-strategic industries. Also, the performance of each model was compared between strategic and non-strategic industries. The results of running the models and carrying out T-tests and variance analysis show that in strategic industries, the intrinsic values estimated by the models of discounting cash profits and discounting cash flows have the highest correlation with the stock market value. But in non-strategic industries, the intrinsic values estimated by any of the studied models had no significant correlation with the stock market value. On the other hand, the correlation coefficient of the intrinsic values estimated by all four models except the residual profit model with the stock market value was significantly higher in strategic industries than in non-strategic industries. The results show that in the Tehran Stock Exchange, profit cash items as well as cash flows are accepted more than other accounting information as criteria for buying and selling stocks. Also, the results of the research show that the profits and cash flows of companies active in strategic industries are more stable than in non-strategic industries.

The purpose of this article is to investigate the correlation between TEPIX index and Brent oil prices in the weekly period from September 2009 to December 2016. In this regard, the DCC-GARCH and CWT approachs have been used. The results show the correlation between the two indicators changes under the influence of economic and political conditions of society. Also, this situation is affected by the corona pandemic conditions from February 2020 to May 2020, so that in this period the correlation between the two indicators is negative and in the period before and after this period is positive. The results of the wavelet approach also show the dependence between the market pairs under study is low in the short term and higher in some periods in the medium and long term. Therefore, investors should invest in these two markets, depending on the time horizon and the economic and political conditions.

Companies need sufficient resources to continue operating, including sufficient cash to pay lenders. If the company does not have enough ability to acquire resources to meet its needs, it will suffer financial helplessness. When faced with financial helplessness, companies manipulate accounting profit as one of the performance evaluation items. In this situation, the management manages the profit by manipulating the accounts, the purpose of which is to give good information and news to the capital market, in order to prevent the decrease of the company's value. If the accounts are manipulated, the existence philosophy of the financial statements will be damaged and their reliability will be lost. Therefore, in the present research, the effects of cash flow types and controlling shareholders on the relationship between profit management and financial performance have been analyzed in order to predict financial bankruptcy in Tehran stock exchange companies. For this purpose, the data of 128 selected companies during the period of 1390 to 1398 have been used. Data analysis was done in two parts; In the first part, using the panel data regression method, the effect of cash flow types and controlling shareholders on the relationship between profit management and financial performance of companies has been estimated. The results of this part showed that the profit management variable had positive effects and the performance variables, controlling shareholders, capital cash flows, equity cash flows and free operating cash flows had a negative effect on the bankruptcy criteria of companies; In addition, it was observed that the types of cash flows examined in this research had a moderating effect on the relationship between profit management and corporate bankruptcy. Next, in the second part of the analysis, based on the coefficients obtained in the previous part and using the firefly algorithm, it is discussed. The results of this part also showed that the percentage of success of the firefly algorithm in predicting the bankruptcy of companies was equal to 98.12%. Based on this, it is suggested that policies based on control and preservation of various cash flows and the use of controlling shareholders be used to reduce the possibility of bankruptcy of companies.

The present study uses the PVAR model to investigate the impact of asymmetric oil price shock, tax revenues, resource curse, stock market and business cycles in oil exporting economies during the period 2000-2019. According to the estimation results; the response of the output gap to the shock of oil prices and exchange rates is a downward trend for up to 3 periods, after which it rises and in the long run this shock is gradually adjusted, but the problem that exists and the response of the output gap to liquidity also show this. is. Revenues from oil sales and foreign exchange earnings are not well managed in oil-rich countries, and the amount of liquidity injected into the market is spent on imports, which are generally done to combat inflation. In this case, many production sectors will be seriously damaged and will be taken out of the production cycle, and therefore part of the investments made in the economy will be unused and the amount of production will decrease, and on the other hand, when foreign exchange earnings decrease, the amount of imports. It has been reduced that part of the decrease in imports will be directed to capital goods and production machinery, leading to a decrease in investment and an increase in the production gap. Sectors that were taken out of production as a result of massive imports of consumer goods during the period of increasing oil revenues will not be revived in this period, which requires more attention of the country's officials to macroeconomic indicators.

The purpose of this research was to present a model of sustainability reporting with the foundational data theory approach in companies admitted to the Tehran Stock Exchange. This research is applied in terms of purpose, exploratory in terms of data, and foundational data in terms of implementation method. The statistical population in the qualitative section was 12 experts by snowball sampling and in the quantitative section 2184 managers and experts, of which 317 were selected by simple random sampling. The data collection tool was a semi-structured interview in the qualitative part and a questionnaire in the quantitative part. The causal results of the qualitative section include 5 components of environmental requirements, environmental incentives, environmental pressures, cultural, social and political characteristics of the country and the characteristics of the international environment, the contextual results of the qualitative section include 4 components of the characteristics of the company environment, economic characteristics of the country, financial incentives and accounting environment and The country's finance, the intervention results of the qualitative sector including 6 components of the company's structural characteristics, corporate governance characteristics, competition in the industry, the behavioral characteristics of managers and performance characteristics, the results of the qualitative sector strategies including 6 components of the establishment of the internal control system, training on the category of sustainability, specifying the institution responsible for sustainability , developing principles and standards of sustainability, strengthening and using new technologies and forming a sustainability committee in companies and the results of the consequences of the qualitative sector including 5 components of environmental protection for future generations, increasing social trust, quality of financial reporting, quality of financial reporting, improvement of quality of life Humans and the growth of the capital market. In the quantitative section, the highest rank was related to background conditions and the lowest to intervention conditions.

Many financial crises follow the bursting of the financial asset bubble, and it is important to examine the bubble behavior in these markets and make an early diagnosis to prevent adverse economic consequences; Therefore, the main purpose of this study was to investigate the effect of four economic and financial variables including GDP, auto index and parts of stock exchange indices, inflation rate and oil income on the exchange rate by quasi-experimental studies with two statistical models ARIMA and model The return itself is the TAR threshold. Considering that previous studies in this field, which have mostly dealt with the formation and explosion of bubbles, and in this field, studies have not been done or are limited; Therefore, in this study, first, data were collected quarterly in the time yield of spring 2011 to spring 1400 and were analyzed by descriptive statistics and econometrics. The results of ARIMA model analysis show that an increase in the exchange rate unit in a past period will lead to an increase of 1.94 exchange rates in the current period. The results of TAR model analysis show that there is a nonlinear relationship between the variables studied in the study and two thresholds for GDP (2130- and 15460) were estimated, indicating different effects of GDP, inflation rate, car index and parts. One of the indicators of the stock exchange and oil income in the regime is high, medium and low (threshold level of 2130-15460) on the exchange rate.

as social media has expanded ,Electronic word of mouth has gained prominence in marketing programs and strategies., in addition to increasing popularity on social media, This subject  has  made Electronic word of mouth  enhance marketing communications and target market success as an undeniable part of various business activities.Efficient and effective use of such an opportunity entails identifying the motivations of Electronic word of mouth in social media, and the present study has pursued such an objective.The present study deals with qualitative paradigm and qualitative content analysis method. Therefore, the qualitative data were collected through in-depth and semi-structured interviews with professors, experts, consumers in Tehran through targeted sampling and snowballing.A total of 25 people were interviewed. The analysis of qualitative data collected by sign coding method identified 33 concepts that were classified into 7 general categories: Financial incentive, emotional, ambitious, functional, social, altruistic, and pleasure motivation.  The validity of the research results was evaluated through peer review, paired survey and participatory research. Reliability was also tested using test-retest reliability.

The present study examines the impact of auditor social and human capital on audit services. This research is descriptive in nature and method and in terms of purpose, it is an applied research and since in the present study the current status of variables has been analyzed using past information through past information, it is in the category of descriptive studies. And post-event type is included. In the course of this research, two hypotheses were formulated and 112 Firms were selected through sampling by systematic deletion method for a period of 7 years between 2015 to 2021 and data related to research variables after compilation in Excel software using software Ivory version 10 were statistically analyzed. The results of the hypothesis test showed that the social and human capital of the auditor has a significant direct effect on audit services.

Prediction and clear understanding of the behavior of a phenomenon plays a major role in adopting strategies and decisions. All-round development and deepening of the capital market as the driving engine of economic development requires the public trust of participants in its efficiency and correctness in determining the fair price of securities. On the other hand, predicting company value, price fluctuations, or stock returns is very important in portfolio selection, asset management, and even stock pricing of newly listed companies.In this research, using the data of 159 companies during a 10-year period including 2011-2020 and the factors affecting the company's value, including financial ratios, corporate governance mechanisms, macroeconomic factors, and the stock market, the company's value has been predicted. In this research, two structures of deep learning methods including GRU and BLSTM are used for better evaluation. The results of examining the data collected using deep learning techniques indicated that the combined model with a lower RMSE error than the GRU model predicted the value of the company.

 The subject of the current research is a comparative study of the work of Sadr Alddin Eini with the title "Death of the usurer" or the usurer, and the story "Haji Agha" by Sadegh Hedayat, based on the similarities and contrasts as well as the metaphors used in each of these works. In relation to the negative economic and social effects of usury, the cultural and religious commonalities of both Iranian and Tajik nations should be mentioned in this regard, Sadr Alddin Eini's "The Profiteer's Death" in the Tajik literature of the former Soviet era as the best realistic work in promoting and increasing the value of modern prose. Tajikistan has provided assistance. "Haji Agha" by Sadegh Hedayat is also one of the exceptional works, which testifies to the author's special style and style, his realistic art. And these works are not only known as valuable works of these literatures, but also express a special style and method, especially a clear example of the school of realism in the prose of Persian speakers. Therefore, it can be said that Tajik and Iranian Persian literature deserves to be examined from a comparative perspective to reveal the generality and commonalities in them. The basis of the methodology of this research is historical-comparative analysis. Matching or comparing the source is rich in sources of human knowledge. In his various investigations, man has chosen comparison and comparison as a way to reach the original facts related to his research fields. The importance of comparative criticism is that it reveals the sources of intellectual and artistic currents of literature. The result of the present research shows that above all, the above-mentioned stories are very similar in terms of theme and content and the issues depicted. The authors depict the issue of usury in Central Asia and Iran and show its harmful nature in the economic life and people's lives.