Prediction of Banks Financial Distress

Mohammed SirElkhatim, Naomie Salim

Abstract


In this research we conduct a comprehensive review on the existing literature of
prediction techniques that have been used to assist on prediction of the bank distress.
We categorized the review results on the groups depending on the prediction techniques method,
our categorization started by firstly using time factors of the founded literature, so we mark the
literature founded in the period (1990-2010) as history of prediction techniques, and after this
period until 2013 as recent prediction techniques and then presented the strengths and
weaknesses of both. We came out by the fact that there was no specific type fit with all bank
distress issue although we found that intelligent hybrid techniques considered the most
candidates methods in term of accuracy and reputation

Keywords


Bank Distress, Banks Factors, Prediction techniques, Text Mining, Data Mining.

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