DISCRIMINATE ANALYSIS AND PREDICTION OF CORPORATE BANKRUPTCY AS IT APPLIES TO BANKING INDUSTRY

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dc.contributor.authorSHUAIBU., SALEH DASS
dc.date.accessioned2014-02-25T11:07:13Z
dc.date.available2014-02-25T11:07:13Z
dc.date.issued1998-12
dc.descriptionA PROJECT PRESENTED TO THE POST-GRADUATE SCHOOL AHMADU BELLO UNIVERSITY, ZARIA, IN PARTIAL FULFILLMENT OF THE REQUIREMENT FOR THE AWARD OF THE DEGREE OF MASTER OF BUSINESS ADMINISTRATION (MBA). DEPARTMENT OF BUSINESS ADMINISTRATION INSTITUTE OF ADMINISTRATION AHMADU BELLO UNIVERSITY ZARIA. NOVEMBER, 1998en_US
dc.description.abstractThe project is about Discriminate Analysis and prediction of corporate Bankruptcy as it applies to Banking Industry. Essentially it is the use, simultaneously, of several financial ratios to discriminate between bankrupt and non bankrupt firms, and to predict the likelihood of failure of any corporate entity. The focal point is the applicability of this statistical technique to predicting Banking failure in Nigeria. The Bank chosen for this study in UNITED BANK FOR AFRICA (UBA) PLC. The research was conducted using a multiplicity of approaches. Library review was conducted to peruse the relevant books that had so far been written on the subject. The literature review brought to light the working of other researchers from the introduction of multiple Discriminate Analysis to date. Notably, the Osaze's index was used for assessing the likelihood of success or bankruptcy of UBA PLC. Data Analysis of the Bank was conducted in order to discover the degree of applicability of the method in Nigerian Banking industry. Finally the research reveals that U.B.A. PLC is a successful organisationen_US
dc.identifier.urihttp://hdl.handle.net/123456789/2582
dc.language.isoenen_US
dc.subjectDISCRIMINATE,en_US
dc.subjectANALYSIS,en_US
dc.subjectPREDICTION,en_US
dc.subjectCORPORATE BANKRUPTCYen_US
dc.subjectAPPLIES,en_US
dc.subjectBANKING INDUSTRY.en_US
dc.titleDISCRIMINATE ANALYSIS AND PREDICTION OF CORPORATE BANKRUPTCY AS IT APPLIES TO BANKING INDUSTRYen_US
dc.typeThesisen_US
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