Using Probit Regression Model to predict the failure of companies | ||
| مجلة جامعة الانبار للعلوم الاقتصادیة والاداریة | ||
| Article 1, Volume 8, Issue 15, June 2016, Pages 20-46 PDF (816.42 K) | ||
| Authors | ||
| Abdulrahman Obaid Juma; Iyad Hammad Abd | ||
| Abstract | ||
| The future of any company and ensure continuity on the financial position and profitability depends in addition to their ability to cope with future events and maintain adequate liquidity and its ability to meet its debt service، so the interest in the subject of various important to predict and which include predicting the failure of financial firms. This study aimed to identify the companies that is in a state of failure according to the financial indicators of these companies through the use of a mathematical model is developed Probit Regression Model. The hypothesis is that the predictable failure of the companies through the use of financial indicators of the company can reduce the failures The most conclusions that there are five companies were probability value her more than 50% the (Bank of Babylon، Iraqi Islamic Bank for Investment and Development، National for Tourist Investment، Baghdad Hotel، City Games Karkh)،which the probability of the remaining companies than 50%. Important recommendation of this study is that the Iraq Securities commission to exercise a greater role in order to encourage non-performing companies on the merger in order to face competition from successful companies. | ||
| Keywords | ||
| Probit Regression Model; failure of companies | ||
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