QuantLib Python Cookbook
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QuantLib Python Cookbook

About the Book

The book collects updated posts from Goutham's blog and the transcripts of the screencasts that Luigi is publishing on YouTube.

The posts and screencasts use Jupyter notebooks to demonstrate the QuantLib library. Together, they provide a sort of cookbook that showcases features of the library by means of working examples and provides guidance to its use.

Among other content, the book also includes notebooks that reproduce the results from the often-cited Ametrano and Bianchetti paper, Everything You Always Wanted to Know About Multiple Interest Rate Curve Bootstrapping but Were Afraid to Ask.

If you're interested in the architecture of QuantLib and want to know how to extend it, you might want to look at Implementing QuantLib, too.

About the Authors

Luigi Ballabio
Luigi Ballabio

Luigi Ballabio is Head of Quantitative Development at the Milan office of Confluence Technologies, Inc. He has worked there since 2000, and focuses on the development of the pricing algorithms and models at the core of its products.

He is a co-founder, lead developer and administrator of QuantLib, an open-source project aiming at providing a comprehensive software framework for quantitative finance. Well-known and appreciated among practitioners, the project started in late 2000 and reached a major milestone in February 2010 with the release of QuantLib 1.0; it has now released version 1.19, and will probably be beyond that by the time you read this.

Luigi holds a Ph.D. in applied nuclear physics from the University of Uppsala, Sweden. In his hometown near Milan, though, he is best known for playing the baritone saxophone in the local concert band—a fact that puts all of the above in a refreshing perspective.

He lives in Milan with his wife and four children.

He can be found at https://www.implementingquantlib.com and is available for training on-site (in Europe and UK) or remote (anywhere).

Goutham Balaraman
Goutham Balaraman

Goutham Balaraman is the VP for Financial Engineering at loanDepot. Prior to that he held positions at Numerix and 5 years as a Quantitative Researcher at Interactive Data, where he helped develop various financial models. He holds a Ph.D. in Theortical Atomic Physics from Georgia Institute of Technology, Atlanta, USA. 

Table of Contents

    • A note on Python and C++
    • Code conventions used in this book
  • Basics
    • 1. QuantLib basics
    • 2. Instruments and pricing engines
    • 3. Numerical Greeks calculation
    • 4. Market quotes
    • 5. Term structures and their reference dates
    • 6. Pricing over a range of days
    • 7. A note on random numbers and dimensionality
  • Interest-rate curves
    • 8. EONIA curve bootstrapping
    • 9. Euribor curve bootstrapping
    • 10. Constructing a yield curve
    • 11. Dangerous day-count conventions
    • 12. Implied term structures
    • 13. Interest-rate sensitivities via zero spread
    • 14. A glitch in forward-rate curves
  • Interest-rate models
    • 15. Simulating interest rates using Hull White model
    • 16. Thoughts on the convergence of Hull-White model Monte Carlo simulations
    • 17. Short interest rate model calibration
    • 18. Par versus indexed coupons
    • 19. Modeling interest rate swaps using QuantLib
    • 20. Caps and floors
  • Equity models
    • 21. Valuing European option using the Heston model
    • 22. Volatility smile and Heston model calibration
    • 23. Heston model parameter calibration in QuantLib Python & SciPy
    • 24. Valuing European and American options
    • 25. Valuing options on commodity futures using the Black formula
    • 26. Defining rho for the Black process
    • 27. Using curves with different day-count conventions
  • Bonds
    • 28. Modeling fixed rate bonds
    • 29. Building irregular bonds
    • 30. Valuation of bonds with credit spreads
    • 31. Modeling callable bonds
    • 32. Discount margin calculation
    • 33. Duration of floating-rate bonds
    • 34. Treasury futures contracts
    • 35. Mischievous pricing conventions
    • 36. More mischievous conventions
  • Appendix
    • Translating QuantLib Python examples to C++

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