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{Kindle} Derivatives Analytics with Python: Data Analysis, Models,
Simulation, Calibration and Hedging ^DOWNLOAD
{Kindle} Derivatives Analytics with Python: Data Analysis, Models,
Simulation, Calibration and Hedging ^DOWNLOAD
[] [PDF], [PDF EPUB KINDLE], Full Pages, [read
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Details of Book
Author : Yves Hilpisch
Publisher : Wiley
ISBN : 1119037999
Publication Date : 2015-8-3
Language :
Pages : 374
Description
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.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 yourself Apply Fourier
transform techniques and advanced Monte Carlo pricing Calibrate advanced option pricing models to market
data Integrate advanced models and numeric methods to dynamically hedge options Recent 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.
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{Kindle} Derivatives Analytics with Python Data Analysis Models Simulation Calibration and Hedging ^DOWNLOAD [PDF]

  • 1. {Kindle} Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging ^DOWNLOAD
  • 2. {Kindle} Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging ^DOWNLOAD [] [PDF], [PDF EPUB KINDLE], Full Pages, [read ebook], textbook$ if you want to download this book click the download button at the last page
  • 3. Details of Book Author : Yves Hilpisch Publisher : Wiley ISBN : 1119037999 Publication Date : 2015-8-3 Language : Pages : 374
  • 4. Description 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.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 yourself Apply Fourier transform techniques and advanced Monte Carlo pricing Calibrate advanced option pricing models to market data Integrate advanced models and numeric methods to dynamically hedge options Recent 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.
  • 5. Download Book if you want to download this book click the button below Start your FREE MONTH by clicking button below!