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Predicting Financial Failure of Yemeni Banks

Omar, Maisarh Yaseen (2008) Predicting Financial Failure of Yemeni Banks. Masters thesis, Universiti Utara Malaysia.

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From year to year, strong attention has been paid to the study of the problems of predicting and preventing bank bankruptcy. Bank failures are usually followed by unfavorable consequences on stakeholders outside the failed banks themselves. Sometimes the consequences are felt by non-banking system as a whole. A failure can result in much harm to employment, earnings, financial development and other associated public interests. Based on the logistic regression (LR) model, Earlier Warning System (EWS) is employed for Yemeni banks during 2002-2006 using micro-level data to identify a set of indicators that best explain the probability of an individual bank in Yemen to fail (become bankrupt) or remain sound across time. In the finding, capital adequacy, management quality and profitability found to be able to identify problem banks in Yemen. Bank's size has the opposite effect of failure probability. It is hoped that the financial ratios and result of the model will be useful to bankers and regulators in identifying problem banks in Yemen.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Bank Bankruptcy, Bank Failures, Yemen
Subjects: H Social Sciences > HG Finance
Divisions: College of Business (COB)
Depositing User: Mr Husni Ismail
Date Deposited: 02 Sep 2009 03:28
Last Modified: 24 Jul 2013 12:06
URI: http://etd.uum.edu.my/id/eprint/214

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