Z Score Analysis & Forecast For Indian Banks - Pradhan, Roli
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This book provides a model of Z Score prediction conditional on internal parameters of Z Score. Z Score is being evaluated for banks when they need funds. Credit risk is of great concern for most banks as credit risk is that risk that can easily and most likely prompts banks failure. Adequately managing credit risk in financial institutes is critical for survival and growth of the banking industry. Addressing these concerns for enhanced financial decision making in this analysis Artificial Neural Network (ANN) has been used for prediction and estimation of internal ratios for Z score. The…mehr

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Produktbeschreibung
This book provides a model of Z Score prediction conditional on internal parameters of Z Score. Z Score is being evaluated for banks when they need funds. Credit risk is of great concern for most banks as credit risk is that risk that can easily and most likely prompts banks failure. Adequately managing credit risk in financial institutes is critical for survival and growth of the banking industry. Addressing these concerns for enhanced financial decision making in this analysis Artificial Neural Network (ANN) has been used for prediction and estimation of internal ratios for Z score. The sample size selected is a few major players both in the government and private sector of Indian Banking Industry. The analysis incorporates Z Score values to estimate the terms, viability and period for credit.
Autorenporträt
Dr. Roli Pradhan is an educator actively involved in creative writing & research. She has authored books Entrepreneur & Entrepreneurship, Scaling Motivation. She has more than 20 international & national journals publications to her credit. She is an active reviewer for many journals. She is currently working as Assistant Professor at MANIT,Bhopal.