Predicting Financial Failure of Yemeni Banks

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...

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Main Author:	Omar, Maisarh Yaseen
Format:	Thesis
Language:	eng eng
Published:	2008
Subjects:	HG Finance
Online Access:	https://etd.uum.edu.my/214/1/Maisarh_Yaseen_Omar.pdf https://etd.uum.edu.my/214/2/Maisarh_Yaseen_Omar.pdf
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id	my-uum-etd.214
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	HG Finance
spellingShingle	HG Finance Omar, Maisarh Yaseen Predicting Financial Failure of Yemeni Banks
description	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.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Omar, Maisarh Yaseen
author_facet	Omar, Maisarh Yaseen
author_sort	Omar, Maisarh Yaseen
title	Predicting Financial Failure of Yemeni Banks
title_short	Predicting Financial Failure of Yemeni Banks
title_full	Predicting Financial Failure of Yemeni Banks
title_fullStr	Predicting Financial Failure of Yemeni Banks
title_full_unstemmed	Predicting Financial Failure of Yemeni Banks
title_sort	predicting financial failure of yemeni banks
granting_institution	Universiti Utara Malaysia
granting_department	College of Business (COB)
publishDate	2008
url	https://etd.uum.edu.my/214/1/Maisarh_Yaseen_Omar.pdf https://etd.uum.edu.my/214/2/Maisarh_Yaseen_Omar.pdf
_version_	1747826862221950976
spelling	my-uum-etd.2142013-07-24T12:06:08Z Predicting Financial Failure of Yemeni Banks 2008-05 Omar, Maisarh Yaseen College of Business (COB) Faculty of Finance and Banking HG Finance 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. 2008-05 Thesis https://etd.uum.edu.my/214/ https://etd.uum.edu.my/214/1/Maisarh_Yaseen_Omar.pdf application/pdf eng validuser https://etd.uum.edu.my/214/2/Maisarh_Yaseen_Omar.pdf application/pdf eng public masters masters Universiti Utara Malaysia Altman, E. I. (1968). Financial ratios, discriminate analysis and the prediction of corporate bankruptcy. Journal of Finance, 23, 589-609. Altman, E. I. (1977). Predicting performance in the savings and loan association industry. Journal of Monetary Economics, 3, 443-466. Arena, M. (2005). Bank failures and bank fundamentals: A comparative analysis of Latin America and East Asia during the nineties using bank level data. 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Predicting Financial Failure of Yemeni Banks

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