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SAS for Finance

You're reading from   SAS for Finance Forecasting and data analysis techniques with real-world examples to build powerful financial models

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788624565
Length 306 pages
Edition 1st Edition
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Author (1):
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Harish Gulati Harish Gulati
Author Profile Icon Harish Gulati
Harish Gulati
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Table of Contents (9) Chapters Close

Preface 1. Time Series Modeling in the Financial Industry FREE CHAPTER 2. Forecasting Stock Prices and Portfolio Decisions using Time Series 3. Credit Risk Management 4. Budget and Demand Forecasting 5. Inflation Forecasting for Financial Planning 6. Managing Customer Loyalty Using Time Series Data 7. Transforming Time Series – Market Basket and Clustering 8. Other Books You May Enjoy

Credit Risk Management

Financial institutions lend to various organizations. At times, financial institutions also end up borrowing. The lending creates a risk of default. In the event of a default, the borrower might not fully pay back the principal and the interest on the borrowed sum. This scenario is termed credit risk. There are various actions that can be taken to mitigate this risk. These actions collectively form the credit risk management discipline. The probability of the borrower defaulting needs to be taken into account when forming a credit risk management policy for a bank. Credit risk management is necessary in order to meet regulatory requirements and also to manage the lender's capital adequacy and monitor the quality of the loan book. Lenders also have an obligation to ensure that there are no systematic failures in their credit risk management policies...

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