Derivatives Analytics with Python

By: Yves Hilpisch

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Synopsis: code and IPython Notebooks for immediate execution and automation.Python is gaining ground in the derivatives analytics space, allowing institutions to quickly and efficiently deliver portfolio, trading, and risk management results. This book is the finance professional's guide to exploiting Python's capabilities for efficient and performing derivatives analytics.Reproduce major stylized facts of equity and options markets yourselfApply Fourier transform techniques and advanced Monte Carlo pricingCalibrate advanced option pricing models to market dataIntegrate advanced models and numeric methods to dynamically hedge optionsRecent developments in the Python ecosystem enable analysts to implement analytics tasks as performing as with C or C++, but using only about one-tenth of the code or even less. Derivatives Analytics with Python -- Data Analysis, Models, Simulation, Calibration and Hedging shows you what you need to know to supercharge your derivatives and risk analytics efforts.