Advanced Options Engineering with Python
Advanced Options Engineering with Python: Quantitative Strategies for Dynamic Hedging, Volatility Trading, and Risk Control by Hayden Van Der Post, Alice Schwartz
English | October 6, 2025 | ISBN: N/A | ASIN: B0FV232VJW | 599 pages | EPUB | 1.12 Mb
English | October 6, 2025 | ISBN: N/A | ASIN: B0FV232VJW | 599 pages | EPUB | 1.12 Mb
Reactive Publishing
Advanced Options Engineering with Python: Quantitative Strategies for Dynamic Hedging, Volatility Trading, and Risk Control by Hayden Van Der Post delivers the definitive guide to mastering the next generation of derivatives modeling and risk architecture.
This book bridges the worlds of quantitative finance and real-world trading execution, showing you how to build, test, and deploy advanced Python-based frameworks for managing volatility, hedging dynamically, and engineering payoff structures that adapt to market behavior.
Inside, you’ll learn how to:
- Design algorithmic hedging systems that respond to changing volatility regimes
- Implement delta, gamma, and vega neutral strategies in live trading environments
- Apply quantitative models for volatility surface calibration and term structure analysis
- Engineer Python-based risk controls for portfolio stability and tail protection
- Build end-to-end volatility arbitrage and dispersion trading frameworks
- Backtest strategies with robust statistical rigor and real market data
Whether you manage complex portfolios or trade volatility as a standalone asset, Advanced Options Engineering with Python is your blueprint for mastering the edge where quantitative precision meets trading execution.