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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

Questions


  1. What is market risk and how can R help in measuring market risk? Please give an example.

  2. What are the ways of measuring risk associated with the portfolio?

  3. What are the most common ways of measuring VaR? Please construct a portfolio and find VaR using all the methods.

  4. How do you compute ES/CVAR in R?

  5. Construct a sample using normal and lognormal distribution using the Monte Carlo method and find the historical VaR for each of them.

  6. How do you find component and marginal VaR for a portfolio in R?

  7. What is credit scoring and how do you execute it in R? Construct an example and build a scoring example along with validation.

  8. What are the ways to identify fraud? How do you execute them in R?

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