فهرست مطالب yagob aghdam mazrea

Money laundering is an illegal activity in which the proceeds of wrongdoing enter the global economy and gain legal legitimacy. The effects of money laundering on the economy can be mitigated by planning programs and solutions. This phenomenon causes serious damage to a country's economy in the long run, and the existence of money laundering in a country's economy indicates a structural weakness in that country's economy. Therefore, the purpose of this study is to predict the causal relationships between organizational risk management structures (control environment, risk assessment, control activities, information and communication and monitoring) and money laundering risk of organizations. The statistical population of this study includes company managers, auditors and faculty members of universities (experts in the field of capital market, banking and auditing) and a standard questionnaire was used to collect data. After performing the reliability and validity tests of the sample data, the relevant analyzes were performed based on the structural equation modeling approach. The results showed that money laundering risk of organizations is affected by organizational risk management structures (control environment and information and communication).

The purpose of this study is to model the default risk correlation in the financial network based on the reduced model. In this study, we focus on the spread of default in the financial network and examine the effect of financial system heterogeneity on the stability of the financial system, and finally, by implementing intervention policies, we offer suggestions to reduce risks and rebuild the network. This research is among the applied researches. The statistical sample of the studied information is 407 companies listed on the Tehran Stock Exchange in the period of 1393-1398. In order to test the relationship between variables and the significance of the model, regression analysis and MATLAB software was used for modeling. Research findings show that the companies that have the most contact with network members will have the greatest impact on network instability. The results showed that the increase in the dispersion of interdependencies of receivables and liabilities, to the depth of 5 relationships in companies, has a negative effect on the stability of the financial system and the high variance of positions and the degree of financial epidemic by increasing both epidemic range and probability