The study sought to determine how bank financial performance (BFP) was affected by credit risk (CR), liquidity risks (LR), operational risks (OR), financing risks (FR), market risks (MR), in the presence of risk management (RM) as a moderator in conventional and Islamic banks in the Middle East and North Africa. To this end, stratified random sampling and systematic sampling methods were used, with a sample size of thirty conventional banks and thirty Islamic banks from the Kingdom of Saudi Arabia and the Arab Republic of Egypt acting as the unit of analysis. 344 participants that were targeted had completed questionnaires that could be analyzed. The database of the target banks was used to quickly and affordably choose samples. Structural equation modeling was done in conjunction with a tool named Smart PLS 4 (SEM). A 92% reliability coefficient was used to evaluate the instrument's dependability. By assessing study variables using commonly used terminology and consulting with subject matter experts on the research issue, the content validity of the findings was confirmed. PLS 4 was one of the clever analytical approaches used to characterize the study's findings. The following describes the relationship between risk management practices and BFP when utilizing a modified variable (RM): "The study showed that CR does not positively affect BFP in conventional banks when employing a modified RM variable. The study demonstrated that the risk ratio had no positive influence on BFP in Islamic banks using a modified RM variable. It has been established by study that LR has no positive impact on BFP. The study also demonstrated that the LR has no positive effects when the variable RM rate is used in conventional banks. The study's findings demonstrated that the OR does not change when the variable RM rate is used. It is advantageous for BFP in traditional banks. The study discovered that there is a negative correlation between OR and BFP in Islamic banks and that OR has no beneficial effect on BFP when the RM rate variable is included. The study's findings demonstrated a favorable correlation between OR and BFP. The research indicates that in typical banks, FR does not positively increase BFP when employing the adjusted RM variable. The study discovered that there is no correlation between FR and BFP in Islamic banks when the modified RM variable is used. Rather than suggesting a good association between FR and BFP, the results pointed to a negative investigation.

Measuring risk of financial institutes and banks plays an important role on managing them. Recent financial turmoil in United States banking system has motivated banking industry to monitor risk factors more closely. In this paper, we present an empirical study to measure the risk of some private banks in Iran called Bank Mellat using Value at Risk (VaR) method. The proposed study collects the necessary information for the fiscal year of 2010 and analyses them using regression analysis. The study divides the financial data into two groups where the financial data of the first half of year is considered in the first group and the remaining information for the second half of year 2010 is considered in the second group. The implementation of VaR method indicates that financial risks increase during the time horizon. The study also uses linear regression method where independent variable is time, dependent variable is the financial risk, and the results confirm what we have found in the previous part of the survey.