The current study seeks to assess the influence of monetary policy carried out by the Central Bank of Iraq (CBI henceforth) on stock market performance (SMP henceforth) from 2008 to 2021. Three monetary policy variables have been considered: money supply, inflation, and interest rate. Meanwhile, the number of transactions has measured the Iraqi Stock Exchange Market (ISX henceforth) performance. This study has used the Autoregressive Distributed Lag (ARDL henceforth) model by utilising monthly data. The results show that in the long term, the money supply and interest rates both have a negative impact on ISX performance. On the other hand, the findings have reported that inflation significantly and positively affects ISX performance. However, there was no indication of a relationship among the underlying variables in the short term. For investors and the appropriate authorities, these findings may have important implications.

The main purpose of the current study is to examine the factors affecting banking stability. The study has focused on panel data of a sample of 10 banks listed on the Iraqi Stock Exchange (henceforth ISX) over the period of 2010-2020 to investigate the impact of bank size, credit risk, bank efficiency, market concentration, regulatory quality, and Gross Domestic Product growth (henceforth GDP) on the Iraqi banking stability. Utilizing the Random Effect Model, the results were in two different directions. In terms of the variables bank size, credit risk, and market concentration, the outcomes have shown that these factors have a significantly negative effect on banking stability. Thus, these factors are considered to be determinants of Iraqi banking stability. In contrast, the output of the regression model has clearly illustrated that variables namely bank efficiency, regulatory quality, and GDP have significantly no effect on the stability of the Iraqi banking system. The results of the study may have a great benefit to the Iraqi banking sector and the relevant authorities.

The current study aims to examine the factors affecting the capital structure of (16) banks listed on the Iraqi Stock Exchange (ISX) during the period 2009 to 2014. Several factors could have an impact on the capital structure. While this study concentrates on four characteristics of Iraqi banks and attempts to identify their effect on financing decision of these banks. Growth, profitability, liquidity, and size have been used as independent variables. However, the study depends on leverage as a dependent variable to measure the capital structure of banks. Using multiple linear regression model by (SPSS) program different results have been revealed. The findings show that growth is not one of the determinants of capital structure and it has no effect on the leverage of these banks at all. While there is a statistically negative relationship between capital structure choice with profitability and liquidity. On the other hand, the findings indicate that the size affects capital structure of the banks positively and significantly. The study could have a great contribution to financing decision of the banks listed on ISXfor choosing the optimal capital structure.

Nowadays business environment characterized by different types of risks and relatively high business uncertainty levels. This is because of the changes that have taken place by globalization and liberalization. To avoid these risks, it has been a very important matter for financial institutions to give much more attention to performance evaluation and use advanced tools for early detection of a business failure. Therefore, in the financial literature, business failure prediction has been widely studied. From this standpoint, this paper attempts to investigate whether the banks listed on the Iraqi Stock Exchange (ISE) expose to business failure by using Sherrod and Kida models. The population of this paper is restricted to banks listed on the (ISE)from 2011 to 2014. Sixteen banks were selected from the total of twenty-three. We entirely relied on secondary data which obtained from financial statements of the selected banks. The study reveals that the exposure of selected banks to the risk of bankruptcy is very low based on Sherrod’s Z-score model. In contrast, the selected banks have serious problems and their exposure to bankruptcy is very high according to Kida’s Z-score model. The study also has concluded that the latter model is unreliable to be applied by banks listed on ISEas its results do not compatible with works of selected banks. The finding of the study can be useful for managers, stockholders, investors, and concerned users to visualize the ability of banks’ sustainability.