جستجوی مقالات مرتبط با کلیدواژه « profitability » در نشریات گروه « مالی »

The purpose of this research is to investigate the impact of financial corruption, economic freedom, laws and regulations, and transparency of information on the profitability and financial stability of banks. This research is a library and analytical-causal study and is based on panel data analysis. In this research, the financial information of 109 companies admitted to the Tehran Stock Exchange during the period of 2016 to 2021 has been examined. The results of the research in connection with the confirmation of the first hypothesis of the research showed that financial corruption has a negative and inverse effect on the profitability of banks. Further, the results of the research in connection with the confirmation of the second hypothesis of the research showed that economic freedom has a positive and direct effect on the profitability of banks. Also, the results of the research in connection with the confirmation of the third hypothesis of the research indicated that laws and regulations have a positive and direct effect on the profitability of banks. Further, the results of the research in connection with the confirmation of the fourth hypothesis of the research showed that the transparency of information has a positive and direct effect on the profitability of banks. Also, the results of the research in connection with the confirmation of the fifth hypothesis of the research indicated that financial corruption has a negative and inverse effect on the financial stability of banks.

In this study, the relationship between the profitability of insurance companies (based on two key profitability indicators, including the return on assets (ROA) and the return on equity (ROE)) and its influencing factors, including claim ratio, operational expenses, and retention ratio, has been studied. Nineteen insurance companies listed on the Tehran Stock Exchange (TSE) and Iran Fara Bourse (IFB) were included in the research sample. A panel regression analysis was conducted using Eviews software to test hypotheses during 2016-2021. As a result of the estimation of the research models, the variable of loss ratio significantly and negatively affects the return on assets and return on equity of insurance companies listed in the Tehran Stock Exchange and Iran Farabourse. Also, operating costs have a negative and significant effect on the rate of return on assets and return on equity as profitability criteria of the sample companies. On the other hand, the holding ratio variable has had a positive and significant effect on the rate of return on assets and return on equity as profitability measures of insurance companies listed in the Tehran Stock Exchange and Iran Farabourse

The purpose of this study was to investigate the effect of firm size and financial leverage on the relationship between working capital financing and profitability in companies listed on the Tehran Stock Exchange using panel data during the period 2013-18, through the generalized torque method. (GMM). The variables of firm size and financial leverage are moderators whose effect on the relationship between working capital financing as an independent variable and profitability as a dependent variable is studied. The results of the study showed that there is an inverse U-shaped relationship between working capital financing and profitability. Also, the inverse U-shaped relationship between working capital financing and profitability is weaker in firms with small firms than in large firms. Also, the inverse U-shaped relationship between working capital financing and profitability in companies with high financial leverage is weaker than other companies. In other words, the relationship between profitability and financing through working capital is adjusted by the financial leverage and size, and this adjustment goes to a certain extent and is reversed from then on, which is the breaking point. The relation series is U-shaped.

The purpose of this article is to investigate the non-linear effect of the central bank's intervention index, taking into account credit risk, on the profitability of commercial banks in the country's banking network. For this purpose, the panel model with a threshold approach (PSTR) has been used based on the annual data of banks admitted to the Tehran Stock Exchange during the years 2010 to 2019. Based on the estimation results of the model in the linear part for banks admitted to the stock exchange in the first, second and third models; The growth of banking facilities, the size of the bank and the intervention of the central bank have a significant effect on profitability. Due to the confirmation of the nonlinearity of the model by the test (LM), the analysis of this part of the model has more validity. The estimation results of the non-linear part of the model (second regime) also show the existence of a significant effect of the variables; The growth of banking facilities, bank size, credit risk and central bank intervention in all three models have an effect on banks' profitability. So that for one percent increase in the growth of banking facilities, respectively; The rate of return on assets in the first model is -0.02, the rate of return on equity in the second model is -0.03, and the net interest income in the third model decreases and increases by 0.07. The increase in the intervention of the central bank has also led to a decrease in the profitability of commercial banks. Therefore, it is suggested that commercial banks act through measures such as reviewing and correcting the inhibiting factors and the speed of action in collecting existing receivables in order to reduce non-current receivables, merging the unprofitable bank with the profitable and successful bank, etc.

One of the factors cause to decrease liquidity, economical crisis and inflation is banking debit memos. As Iranian economy is bank-oriented, so constantly macro memos may lead to economical downturn. Recently a list of banking debit memos published, so it is concurrent to detect the effective factors on collecting non-current debts in order to make better economy. The present study is applied, descriptive-survey and adaptive analytic one. The population included 16 banking managers and experts (quality aspect) and 169 kegal managers and community of banking debts. The quality findings shown that there are three main organizational factors(intra-organizational and external-organizationl sub factors), predictive factors (physical and non-physical sub-factors) and social one(positive and negative). The quantitative findings expressed that intra-organizationa, external-organizationa, physical, non-physical and positive social factors cause to positive effects and negative social factors consist of negative effects on collecting non-current large debts depends on declaration banking debit memos

The global financial crisis of 2008 and the sharp reduction in interest rates have affected the profitability of foreign banks. This situation has created a new set of concerns for policy makers, but there is no empirical evidence that shows the effect of profitability on economic growth. On the other hand, central banks, regulatory authorities, and macroeconomic policies are interested in evaluating and monitoring the stability of the banking sector, as well as the role of inter-banking competition to resist economic shocks. Given that the banking sector plays an important role in the financial system of any country, the aim of this research is to investigate the effect of profitability and stability of the banking sector of our country, considering the role of competition on economic growth. To this aim, 15 banks in Tehran's capital market were selected through screening. The data was collected from a 10-year period between 2012 and 2021. The results based on OLS and GMM methods show that bank profitability has no significant effect on economic growth, while bank stability has a significant effect on economic growth. Moreover, the results reveal that the profitability of banks through competition does not have a significant effect on economic growth.

The development of technology has always been associated with positive effects and has significantly improved the quality of life of users. The banking industry is also inevitably affected by this development. Despite such problems as some low-speed services, a small variety of products and services, and the immense cost of providing banking services, it seems that in order to improve performance and reduce costs, it is vital to make more use of emerging financial technologies. This study, spanning from 2016 to 2020 and using the generalized method of moments, investigated the effects of the emergence of new financial technologies in banks. These technologies involve the new generation mobile applications (CDA), the open banking project (FT), the ratio of accumulated profit to income (BM), and the volume of non-performing loans (NPL) on profitability indicators such as return on equity before tax (RE) and return on assets before tax (RA). The investigation took into account both state and private banks. The results indicate that the change in the ratio of accumulated profit/loss to the total assets, the change in the use of new generation mobile application services by customers, and the time when banks started working with open banking platforms have a positive effect on the profitability index of state and private banks. The findings also show that the ratio of non- non-performing loans have a negative impact on this index. In addition, the impact of customers' use of the new generation of mobile application services and the time when banks started working with open banking platforms were greater in private banks compared to state banks

The exchange rate affects the economic activity, foreign trade and wealth of economic enterprises. The aim of this study is to explain a model to investigate the effect of exchange rate shocks on the profitability of export-oriented production groups. In this regard, the data on exchange rate, tax, oil revenue, export and profitability were collected for 19 export-oriented production groups from 2008 to 2019. To achieve the research goal, the Panel Vector Autoregressive Model (PANEL VAR) using the generalized method of moments (GMM) was used to analyze the data. The results of the the Impulse Response Function show that the effect of exchange rate volatility, tax and oil revenue on the profitability variable is initially negative, but has a positive effect over time and is neutralized after several periods. But, the export impulse has positive effect on profitability. According to the results of variance decomposition, it can be said that the exchange rate fluctuations have more explanatory power for profitability fluctuations.

Profitability is one of the most important indicators for evaluating companies. In this research, after adding the factor of credit rating to the literature of factors affecting profitability in addition to liquidity variables, financial leverage, sales growth, company size and tax rate as factors influencing the profitability of stock exchange companies from multiple regression to analyze and analysis and measurement of the effect of variables on profitability have been used. The research period is 2019. The obtained results show that the variables of credit rating and financial leverage have a positive effect on profitability, and credit rating is a key variable in the factors affecting the profitability of stock exchange companies. While liquidity has a negative and significant effect on the profits of companies. Also, there is no significant relationship between the financial leverage variables of tax rate and profitability.

If the central bank and the relevant bank risk committee do not monitor and control the amount of liquidity created by a bank, it risks bankruptcy and ultimately all the banks in the country. Therefore, this study examines the impact of liquidity creation on the profitability and financial stability of banks. In terms of purpose and method, this research is applied post-event. A multivariate regression model and data panel approach were used to analyze the information of 15 banks listed on the Tehran Stock Exchange over the period 2013-2020. Berger and Bauman's (2009) method was used to calculate the liquidity creation index and the profitability and financial stability of banks were measured by the return on assets ratio (ROA) and Z-Score, respectively, as well as by control variables at the bank level (size, deposits, facilities, and non-interest income) and industry level (concentration index of banks). According to the results, banks are more profitable and stable when liquidity is created.

The vastness and complexity of human societies and the importance of figuring out the structure of interpersonal communications to explore the effect of these communications to achieve recognized, precise and predetermined goals have highlighted the role of consulting networks and their analyses over the past decades.  Today activities of large companies of the world are pertinent directly to the evaluation and analysis of social networks. Meanwhile, since organizations and enterprises are often formed and continue to operate to make profits, managers try so that nothing hurts their profitability. Service companies whose income is mainly derived from services they procure and are highly reliant on their human force need more than other companies to identify exact position and role of employees in formal and informal structures of the organization in attracting and maintaining customers in order to boost revenue through encouraging counseling networks and promoting knowledge and knowhow of employees in various levels of the organization. This study in an attempt to explore its prediction goals used a network structure and collected behavioral data of employees working in 36 branches of a private bank to detect their internal counseling network. Then network graph was made and profitability prediction analysis was performed by determining the association relatively strength of internal counseling networks and bank profitability via regression model. According to the results obtained from a nonlinear regression model, this study supported the association between the independent variables and the dependent variables.

The importance of banks' profitability can be examined at all levels of the economy. More profitability of banks not only allows them to provide credit and more activity in the field of obligations, but also makes it easier for bank policymakers to invest in risky environments. Obligations studied in this study include letters of credit, bank guarantees and other obligations that the non-gross income resulting from their opening and issuance is always considered. All banks and credit institutions listed on the stock exchange constitute the statistical population of the research and the statistical sample consists of 16 banks that in the period under review (five-year period from 2016 to 2020) audited financial statements. They are available in the comprehensive information system of publishers. Hypotheses have been tested using regression methods and correlation coefficient. The results indicate the efficiency and significance of the regression model and the existence of a correlation and positive correlation between the types of obligations and net profit (loss) of banks at the medium level. Among the types of variable obligations, letter of credit has the highest correlation with net profit (loss), so more attention to letter of credit in order to earn profit is important.

Achieving the optimal capital structure in order to gain maximum profitability and value while having minimum cost of capital is one of the important topics studied by financial professionals. In the field of the relationship between financing decisions and corporate profitability, there exists four major theories of Miller and Modigliani, agency theory, static balance theory (all observing the positive relationship between debt ratio and profitability) and hierarchical theory (negative relationship between debt ratio and Profitability). In this study, using data from 161 companies listed on the Tehran Stock Exchange in five industries (including ceramic tiles, cement, metals, oil and gas, and pharmaceuticals) between 2010 and 2017, the problem of estimating the profitability function by the capital structure has been addressed. In order to estimate the mentioned function, regression analysis as well as a combination of wavelet neural network algorithm and the Imperialistic Competition Algorithm have been used. The results indicate a negative relationship between debt ratios and return on asset (confirmation of hierarchical theory) in ceramic tile, cement, metals, and pharmaceutical companies. However, in the oil and gas industry, no significant relationship has been found between these variables. In addition, the performance of the wavelet neural network optimized by the imperialistic competition algorithm has shown to be more desirable than simple linear regression for all the investigated industries.

In financial markets, the effect of profitability anomaly, distress anomaly, lotterynees anomaly and idiosyncratic volatility have been investigated individually. However, the potential relationship among these anomalies have not been analyzed yet. Recently it has been raised that growth options effect on the symmetry of the return distribution function and it can describe the potential relationship among anomalies and risk premium of anomalies. This relationship has been investigated in this research by use of the statistical properties governing over third order moments of return distribution function and isolating expected idiosyncratic skewness derived from growth options. For this purpose, data of 114 companies listed in Tehran Stock Exchange were collected during 2011 to 2016. Hypotheses were tested using portfolio approach and alpha evaluation of factor models. The findings shows that there is relationship between profitability, distress, lotteryness, idiosyncratic volatility and stock return, but the common capital asset pricing models cannot explain premium risk of these anomalies. These findings confirm profitability, lotteryness, distress and idiosyncratic volatility puzzle indirectly in the capital market of Iran and show that investors can earn extra return by using these anomalies.

Today, one of the most important management issues of organizations is the management of their supply chain financial flows, which plays a significant role in the growth of the organization. This issue has necessitated the necessity of paying attention to the sustainable supply chain management system from the financial perspective. The purpose of this study is to design a model for the relationship between the variables affecting the sustainable supply chain system from the financial perspectives and using the system's dynamics. In this research, after identifying the effective variables on the chain, a model was developed to show the dynamics of these variables using the system dynamics method. Validation of the model was carried out using evaluation tests and vsnym software at Pegah Tehran Company as a case study. In the following, scenarios for different modes of the proposed model variables were designed and implemented. The research results show that the designed model increases the supply chain sustainability based on financial factors, which ultimately affects the profitability of the chain.

Considering the importance of firm growth and the factors that influence it, the present study investigates the effect of financial factors on the growth of listed companies in the Tehran Stock Exchange in the period 2015 to 2018, and the book value to market value ratio used as a growth indicator of the companies. The statistical sample of this research is 433 companies listed on the stock exchange from 2015 to 2018. By the systematic elimination, only 82 companies were identified as eligible for our sample. Before analyzing the data, the variables' reliability tests and Chau and Hausman's tests were performed to determine the appropriate model for estimating the parameters and the effect of the independent variables on the dependent variable. Then, the panel data model with the fixed effects is used to test the hypotheses. As the results of the study show, there is a significant and direct relationship between cash flow, profitability, market share, industry sales, and financial leverage with companies' growth opportunities. Also, there is no significant relationship between the age and size of the companies and their growth opportunities.

Banks are the beating heart of financial activities, which facilitate trade and commerce and flourish markets, and enhance economic growth and prosperity by organizing and directing receipts and payments. Their situation inserts a significant effect on other economic sectors of the society. Therefore, the effect of financial incentives, relationships of banks and their innovation with the optimal allocation of financial resources lead to economic growth and development. In this way more depositors become attracted to banks and banking facilities increase by the competitive market and increased creativity of banks in using various applicants.    This study is intended to investigate the relationship between financial incentives in terms of government expenditure and taxes, special banking variables and innovations in order to increase profitability in selected listed banks during 2013 to 2019. The model is estimated through ARDL PANEL method. According to the estimation of the profitability model of selected banks in this research, the researchers found out that government expenditure, as an indicator of financial incentives, has a positive effect on the profitability of selected listed banks. The other financial incentive, the tax rate, has a significant negative effect on the profitability of listed banks. Furthermore, the results of model estimation showed that the effect of banking competition, capital adequacy index and innovation index, derived from the transactions made by Internet banking, effect profitability positively. However, the effect of credit risk variable on banks' profitability index is significantly negative.