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Wiley Derivatives Analytics with Python - Finance Guide

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Description

Supercharge your options analytics and hedging strategies with the power of Python. This Wiley Finance Series book provides a comprehensive guide to implementing market-consistent valuation and hedging approaches. By combining advanced financial models with efficient numerical techniques, you can leverage the full potential of the Python programming language for complex financial tasks. This unique resource offers detailed explanations of the theory, methods, and processes required to value stock index options from a solid foundation. It includes self-contained Python scripts and modules, allowing you to apply Python to advanced financial modeling and simulation. Whether you are focused on calibration or hedging, this guide provides the necessary tools and background to master derivatives analytics through practical, code-based implementation.

Key Features

Learn to implement market-consistent valuation and hedging approaches using advanced financial models.

Utilize the powerful capabilities of the Python programming language for efficient numerical techniques.

Gain a sound foundation for valuing stock index options through detailed theoretical explanations.

Access self-contained Python scripts and modules to apply programming to advanced financial tasks.

Master derivatives analytics including data analysis, models, simulation, calibration, and hedging.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
10 July 2015
Listed Since
20 August 2014

Barcode

No barcode data available

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