The study aims to apply the financial ratios of the Altman model to predict financial failure on the private Syrian commercial banks listed on the Damascus Stock Exchange, in addition to identifying the impact of using the Altman model on the returns
of each bank’s loan portfolios separately, and to achieve this, the necessary data were collected from the published annual reports. There are 11 banks from the official website of the Damascus Securities Exchange, where the study included the years from 2011-2019, and the independent variable was represented by the Altman model and was measured using financial ratios (profitability - liquidity - financial independence - operational efficiency) and the variable dependent on the returns of loan portfolios It was measured through: Loan portfolio rate of return = total interest and commissions from loans/total loans. The results of the study showed that there was no significant, statistically significant effect of Altman’s model on the rate of return on the loan portfolio of the following private commercial banks: (Bank Audi - Syria, Bank Al-Sharq, Arab Bank-Syria, Fransabank-Syria, Bank of Syria and Overseas, Byblos Bank-Syria, International Bank for Trade and Finance, Bank of Syria and Gulf). And there is a positive, significant, and statistically significant effect of the Altman model on the rate of return on the loan portfolio of the following private commercial banks: (Qatar National Bank - Syria, Bank of Jordan - Syria, Bemo Saudi Fransi Bank).
The study aimed to know the effect of the governance of technological activities in the banks under study on the quality of loan portfolios provided to their clients and to achieve the purpose of this study, a questionnaire was designed and distribut
ed to workers in the private Syrian banks from administrative levels (managers, internal auditor, head of department, head of department) . The study sample consisted of (180) valid observations for the analysis, and using the appropriate statistical methods to transmit the data, the study reached the following: The presence of an impact of information technology governance at the level applied in the Syrian banks under study in accordance with the COBIT framework in its four fields combined, and individually, on the quality of the loans portfolios of those banks.
The research aims at identifying the factors affecting the returns of loan portfolios of private commercial banks in Syria during the period (2007- 2012), where it was studying the behavior of the dependent variable represented in (Yield Loan Portfol
ios) and the independent variables of (employment rate of deposits in loans, the size of the bank liquidity the age of the bank, the number of branches, and the capital adequacy ratio) is studied.
Research findings
There is a significant positive effect for independent variables, such as age of the bank, capital adequacy ratio (except Byblos Bank Syria) affecting loan portfolios returns on private commercial banks under study.
There is not a statistically significant effect for independent variables like employment rates of deposits in loans, the size of the bank, and liquidity (except Byblos Bank Syria), and the number of the bank branches (except Bank of Syria and overseas) returns on the loan portfolios private commercial banks under study
Loan portfolios occupies an important position within the balance sheet of
commercial banks, considering that the efforts and decisions of management aim primarily
at building a good loan portfolios, that achieve high returns for banks at the lowes
t levels
of risks.
The research aims to assess the extent of compliance to the theoretical, scientific and
practical principles in the composition of loan portfolios of the public and private
commercial banks in the Syrian Coast: the principle of diversification; principle
of relevance ;the criteria for granting credit; and Advanced Capital Adequacy Framework–
Basel II. The research aims to draw important conclusions and recommendations to help
Syrian commercial banks(public and private) in reducing credit risk.
