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Learning Quantitative Finance with R

You're reading from  Learning Quantitative Finance with R

Product type Book
Published in Mar 2017
Publisher Packt
ISBN-13 9781786462411
Pages 284 pages
Edition 1st Edition
Languages
Authors (2):
Dr. Param Jeet Dr. Param Jeet
Profile icon Dr. Param Jeet
PRASHANT VATS PRASHANT VATS
Profile icon PRASHANT VATS
View More author details

Table of Contents (16) Chapters

Learning Quantitative Finance with R
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to R 2. Statistical Modeling 3. Econometric and Wavelet Analysis 4. Time Series Modeling 5. Algorithmic Trading 6. Trading Using Machine Learning 7. Risk Management 8. Optimization 9. Derivative Pricing

Credit risk


Credit risk is the risk associated with an investment where the borrower is not able to repay the amount to the lender. This can happen on account of poor financial conditions of the borrower, and it represents a risk for the lender. The risk is for the lender to incur loss due to non-payment and hence disruption of cash flows and increased collection costs. The loss may be complete or partial. There are multiple scenarios in which a lender can suffer loss. Some of the scenarios are given here:

  • A customer not making a payment on a mortgage loan, credit card, line of credit, or other type of loan

  • Business/consumer not paying due trade invoice

  • A business not paying an employee's due earned wages

  • A business/government bond issuer not making payment on a due coupon or principal

  • An insurance company not obliging its policy obligation due

  • A bank not returning funds of depositors

It is a practice of mitigating losses by understanding the adequacy of a bank's capital and loan loss reserves...

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