Designing and implementing a credit risk measurement model in the country's banking system will play an effective role in increasing the productivity of the country's banks in the optimal allocation of resources. Therefore, credit has an important role in the performanc More
Designing and implementing a credit risk measurement model in the country's banking system will play an effective role in increasing the productivity of the country's banks in the optimal allocation of resources. Therefore, credit has an important role in the performance of the country's banking sector. Therefore, based on this argument, the present study designs and explains a model for the contagiousness of companies' financial distress risk and credit risk in the country's banking system. For this purpose, the limit (limit) theory of Akhtar and Dali (2017) research was used to measure the contagiousness model of financial distress risk. The hypotheses were tested using the statistical method of regression analysis with combined data using the information of 23 banks listed on the Tehran Stock Exchange during the years 2014 to 2019. The findings of the first hypothesis of the study indicate that there is a significant relationship between the risk of financial helplessness of banks and the credit risk of the country's banking system. Also, the result of the second hypothesis showed that the risk of financial helplessness of banks is transmitted to the Iranian banking system in the form of credit risk.
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The present study has designed and explained the stock price forecasting model using stochastic processes. The statistical population of the study is all companies of the mass real estate industry in the Tehran Stock Exchange from 1390 to 1398. Data were analyzed in Evi More
The present study has designed and explained the stock price forecasting model using stochastic processes. The statistical population of the study is all companies of the mass real estate industry in the Tehran Stock Exchange from 1390 to 1398. Data were analyzed in Eviews10 and MATLAB software. Predicting stock price behavior and the whole industry index by autoregressive methods and moving average in terms of random processes showed that the explained pattern can not be used to predict stock price behavior but in some random steps, the forecasting error was negligible. Regarding the forecast of stock price behavior, the last three steps of the process, winter have a significant effect on stock price forecast; But the first step has a significant effect on predicting the behavior of the industry index. In the first steps, the error of predicting the behavior of the industry index is very small and the explained model can be used to predict the behavior of the index in the first months of the year.
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This paper focuses on the corporate governance and profitability indexes of investment in iranian commercial banks. In this paper we discuss the state of corporate governance in Iranian commercial banks and try to find a link between corporate governance mechanisms and More
This paper focuses on the corporate governance and profitability indexes of investment in iranian commercial banks. In this paper we discuss the state of corporate governance in Iranian commercial banks and try to find a link between corporate governance mechanisms and those indexes. We found that there are some relationships between auditing quality measures, characteristics of CEO and board of directors as measures of corporate governance mechanisms and asset quality measures, efficiency measures, profitability measures, liquidity measures and capital sufficiency as measures of profitability indexesof investment in Iranian commercial banks. We report that the finding can improve the governance roles and performance evaluation of Iranian commercial Banks.
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Fluctuations in commodity prices in global markets have always influenced the behavior and decisions of investors in financial markets. In this research, using the Copula family models, financial contagion or volatility spillover on global price of petrochemical product More
Fluctuations in commodity prices in global markets have always influenced the behavior and decisions of investors in financial markets. In this research, using the Copula family models, financial contagion or volatility spillover on global price of petrochemical products and base metals on the on the stock price index of eight selected industries of Tehran Stock Exchange listed companies during a period of 10 years (2008-2018) has been reviewed. The research method is descriptive-analytical in nature and applied in terms of purpose. The research hypotheses were tested using an econometric approach based on Copula models and programming in MATLAB software. The results show that the effects of overflow of these variables on the index of selected industries are significant but different.Examination of different models of Copula method showed that T-Student model is most suitable for transmitting spillover effects, which indicates the symmetrical effects of price variables in global markets of petrochemical products and base metals on the index performance of selected industries. And then Clayton and Gumble models are in the next rank.
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