Abstract
Financial turmoil (crisis) is a condition that arises due sudden decline in the nominal value of the financial assets which results in banking panics. Predicting alarming signals of crisis which is financial in nature is a tough assignment as the total economy is based on it for all industries in general and banks in particular. During the panic situation, there is coincides with the recession. The present conceptual paper gives a review of soft computing applications for predicting the crisis condition or bankruptcy which further help in promoting future empirical research to prevent bank failures and financial crises.
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Archana Acharya, T., Veda Upasan, P. (2021). A Study on Techniques of Soft Computing for Handling Traditional Failure in Banks. In: Saha, S.K., Pang, P.S., Bhattacharyya, D. (eds) Smart Technologies in Data Science and Communication. Lecture Notes in Networks and Systems, vol 210. Springer, Singapore. https://doi.org/10.1007/978-981-16-1773-7_25
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