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Derivatives Analytics with Python Data Analysis Models Simulation Calibration and Hedging The Wiley Finance Series

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Derivatives Analytics with Python: Data Analysis, Models ~ Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (The Wiley Finance Series) 1st Edition, Kindle Edition by Yves Hilpisch (Author) Format: Kindle Edition

Derivatives Analytics with Python: Data Analysis, Models ~ YVES HILPISCH is founder and Managing Partner of The Python Quants a group that focuses on Python & Open Source Software for Quantitative Finance. Yves is also a Computational Finance Lecturer on the CQF Program. He works with clients in the financial industry around the globe and has ten years of experience with Python.

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Derivatives Analytics with Python: Data Analysis, Models ~ Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (Wiley Finance Series) (Englisch) Gebundene Ausgabe – 10. Juli 2015 Juli 2015 von Yves Hilpisch (Autor)

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Derivatives Analytics with Python – The Python Quants ~ DX Analytics is a purely Python-based derivatives and risk analytics library which implements all models and approaches presented in the book (e.g. stochastic volatility & jump-diffusion models, Fourier-based option pricing, least-squares Monte Carlo simulation, numerical Greeks) on the basis of a unified API.

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