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Learning Quantitative Finance with R

You're reading from   Learning Quantitative Finance with R Implement machine learning, time-series analysis, algorithmic trading and more

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781786462411
Length 284 pages
Edition 1st Edition
Languages
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Authors (2):
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PRASHANT VATS PRASHANT VATS
Author Profile Icon PRASHANT VATS
PRASHANT VATS
Dr. Param Jeet Dr. Param Jeet
Author Profile Icon Dr. Param Jeet
Dr. Param Jeet
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to R 2. Statistical Modeling FREE CHAPTER 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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