Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (The Wiley Finance Series) free ebook download.

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Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (The Wiley Finance Series) free ebook download

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Author(s):	Yves Hilpisch

Date:	2021	Format:	pdf	Language:	English	ISBN/ASIN:	1119037999
Pages:	374	OCR:		Quality:		ISBN13:
Uploader:	alex21s	Upload Date:	9/9/2023 4:02:55 AM

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Supercharge options analytics and hedging using the power of Python
Derivatives 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 detailed explanations of all theory, methods, and processes, giving you the background and tools necessary to value stock index options from a sound foundation. You'll find and use self-contained Python scripts and modules and learn how to apply Python to advanced data and derivatives analytics as you benefit from the 5,000+ lines of code that are provided to help you reproduce the results and graphics presented. Coverage includes market data analysis, risk-neutral valuation, Monte Carlo simulation, model calibration, valuation, and dynamic hedging, with models that exhibit stochastic volatility, jump components, stochastic short rates, and more. The companion website features all code and IPython Notebooks for immediate execution and automation.
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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3200550	Book	https://nitroflare.com/view/170EB3A97807...		0.00	alex21s

Tags: Analysis Analytics Calibration Data Derivatives Hedging Models Python Simulation Wiley

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