Step-by-step implementation of market data analysis and risk-neutral valuation for stock and index options enables hands-on learning
Advanced Monte Carlo simulation and model calibration techniques provide practical experience with financial modeling
Dynamic hedging strategies with stochastic volatility, jump components, and stochastic short rates demonstrate real-world application
Comprehensive companion website with all code and IPython notebooks ensures immediate access and automation
Efficient Python codebase offers performance comparable to C or C++ with less development effort
Summarized by Shop
Supercharge options analytics and hedging using the power of PythonDerivatives Analytics with Python shows you how to implement market-consistent valuation and hedging approaches using advanced financial models, efficient numerical techniques, and the powerful capabilities of the Python programming language. This unique guide offers deta