Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Python for Rough Volatility: Rough Bergomi and Stochastic Volatility Models

by Helena K. Marwood , Danny Munrow , Vincent Bisette
Save 13% Save 13%
Current price ₹3,197.00
Original price ₹3,672.00
Original price ₹3,672.00
Original price ₹3,672.00
(-13%)
₹3,197.00
Current price ₹3,197.00

Imported Edition - Ships in 18-21 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9798198945449
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 408
  • Original Price: GBP 28.24
  • Language: English
  • Edition: N/A
  • Item Weight: 490 grams
  • BISAC Subject(s): Investments & Securities / Analysis & Trading Strategies

Reactive Publishing

Python for Rough Volatility introduces readers to the practical implementation of rough volatility models in Python, with a focused treatment of the Rough Bergomi model and related stochastic volatility frameworks used in quantitative finance.

This book bridges the gap between advanced mathematical theory and working code. It demonstrates how to build, simulate, calibrate, and apply rough volatility models using Python, with emphasis on numerical methods and computational efficiency suitable for real-world quantitative workflows.

What the book covers:

  • Core concepts of rough volatility and the Rough Bergomi model
  • Implementation of stochastic volatility models in Python
  • High-performance calibration techniques
  • Simulation methods for rough paths
  • Practical considerations for model application in quantitative finance

Written for quantitative analysts, developers, and researchers working in options pricing, volatility modeling, and financial engineering, the book assumes familiarity with Python programming and basic stochastic calculus. All examples are provided with complete, runnable code that can be adapted for personal or professional use.

The material is presented in a clear, technical style focused on implementation details rather than theoretical proofs, making it a practical resource for those looking to incorporate rough volatility models into their quantitative toolkit.


Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us