Predicting Bank Fragility by Applying Logistic Regression Model using R-Programming; A Supervised Learning Approach

Today the global economy is going through a dynamic phase. The financial institutions of the world are exposed to such dynamic environment and the Indian financial sector in not having any exemption to it. The India financial sector is exposed to uncertainty like the overall global financial sector. The banks are the most important sector of financial system. The banks need to be in good financial position to survive and prosper. The State Bank of India is the oldest financial institution of India. It has spread its activity throughout India and tagged as one of the most reliable bank. Also known for the best customer service. As discussed earlier today the banks are exposed to financial risk which is responsible for bank financial fragility hence an attempt is being made to study and predict the fragility of State bank of India by using Logistic regression model using R-programming