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Predict the Financial Stability of Banks Using the Iraq Civil Financial Soundness Indicators for the Period 2008-2012 | ||
| journal of kirkuk University For Administrative and Economic Sciences | ||
| Article 1, Volume 7, Issue 1, 2017, Pages 200-232 PDF (670.57 K) | ||
| Authors | ||
| Bashar Th.AL.Shakargi; Mohammed Younus Mohammed | ||
| Abstract | ||
| This study sought to identify the financial soundness indicators for the banking sector guide , known as the financial health indicators , and the assessment and monitoring of the strengths and weaknesses of the financial systems, These figures are relatively new economic statistics that reflect a mixture of influences , which are derived from the measurement frameworks college safety analysis , which was developed to monitor the financial and banking companies , and financial soundness indicators play an important role in predicting financial stability . The study also sought to identify the concept of financial stability is a broad concept that includes various aspects of finance and the financial system , infrastructure, institutions and markets , legal systems and official frameworks and supervision of financial regulation and control , and the researcher this application study on a sample of the Iraqi private banks for the period 2008-2012 , The number of sample banks has reached (15) banks . Was determined to test the model analysis indicators ( financial ratios ) , has been used as the arithmetic mean for the classification of banks into stable and unstable by comparing the arithmetic mean of the bank sector average rate for each variable, The result (6) community banks Iraqi stable of the total (15) banks of the study sample , one of the main conclusions of the study , also found standard deviations , was to find a correlation between financial ratios of the research sample , as well as the use of the progressive choice Stepwise method of counting was born Wald Method to model logistic regression , and was the most prominent recommendations , should be used to predict financial stability permanently models as tools for early warning on the state of the bank , as current research proved that the logistic regression model is of the same predictive accuracy high models after its application to the research sample banks. | ||
| Keywords | ||
| Financial Stability; Financial Soundness; indicators; Predict | ||
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