Perturbation Methods in Credit Derivatives
eBook - ePub

Perturbation Methods in Credit Derivatives

Strategies for Efficient Risk Management

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Perturbation Methods in Credit Derivatives

Strategies for Efficient Risk Management

About this book

Stress-test financial models and price credit instruments with confidence and efficiency using the perturbation approach taught in this expert volume

Perturbation Methods in Credit Derivatives: Strategies for Efficient Risk Management offers an incisive examination of a new approach to pricing credit-contingent financial instruments. Author and experienced financial engineer Dr. Colin Turfus has created an approach that allows model validators to perform rapid benchmarking of risk and pricing models while making the most efficient use possible of computing resources.

The book provides innumerable benefits to a wide range of quantitative financial expertsattempting to comply with increasingly burdensome regulatory stress-testing requirements, including:

  • Replacing time-consuming Monte Carlo simulations with faster, simpler pricing algorithms for front-office quants
  • Allowing CVA quants to quantify the impact of counterparty risk, including wrong-way correlation risk, more efficiently
  • Developing more efficient algorithms for generating stress scenarios for market risk quants
  • Obtaining more intuitive analytic pricing formulae which offer a clearer intuition of the important relationships among market parameters, modelling assumptions and trade/portfolio characteristics for traders

The methods comprehensively taught in Perturbation Methods in Credit Derivatives also apply to CVA/DVA calculations and contingent credit default swap pricing.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Perturbation Methods in Credit Derivatives by Colin Turfus in PDF and/or ePUB format, as well as other popular books in Business & Finance. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2020
Print ISBN
9781119609612
eBook ISBN
9781119609599
Edition
1
Subtopic
Finance

Table of contents

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Copyright
  5. Preface
  6. Acknowledgments
  7. Acronyms
  8. CHAPTER 1: Why Perturbation Methods?
  9. CHAPTER 2: Some Representative Case Studies
  10. CHAPTER 3: The Mathematical Foundations
  11. CHAPTER 4: Hull–White Short‐Rate Model
  12. CHAPTER 5: Black–Karasinski Short‐Rate Model
  13. CHAPTER 6: Extension to Multi‐Factor Modelling
  14. CHAPTER 7: Rates‐Equity Hybrid Modelling
  15. CHAPTER 8: Rates‐Credit Hybrid Modelling
  16. CHAPTER 9: Credit‐Equity Hybrid Modelling
  17. CHAPTER 10: Credit‐FX Hybrid Modelling
  18. CHAPTER 11: Multi‐Currency Modelling
  19. CHAPTER 12: Rates‐Credit‐FX Hybrid Modelling
  20. CHAPTER 13: Risk‐Free Rates
  21. CHAPTER 14: Multi‐Curve Framework
  22. CHAPTER 15: Scenario Generation
  23. CHAPTER 16: Model Risk Management Strategies
  24. CHAPTER 17: Machine Learning
  25. Bibliography
  26. Index
  27. End User License Agreement