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Listed Volatility and Variance Derivatives: A Python-based Guide (Wiley Finance) by [Hilpisch, Yves]
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Listed Volatility and Variance Derivatives: A Python-based Guide (Wiley Finance) 1st Edition, Kindle Edition

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Length: 265 pages Enhanced Typesetting: Enabled Page Flip: Enabled
Language: English

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Product description

Product Description

Leverage Python for expert-level volatility and variance derivative trading

Listed Volatility and Variance Derivatives is a comprehensive treatment of all aspects of these increasingly popular derivatives products, and has the distinction of being both the first to cover European volatility and variance products provided by Eurex and the first to offer Python code for implementing comprehensive quantitative analyses of these financial products. For those who want to get started right away, the book is accompanied by a dedicated Web page and a Github repository that includes all the code from the book for easy replication and use, as well as a hosted version of all the code for immediate execution.

Python is fast making inroads into financial modelling and derivatives analytics, and recent developments allow Python to be as fast as pure C++ or C while consisting generally of only 10% of the code lines associated with the compiled languages. This complete guide offers rare insight into the use of Python to undertake complex quantitative analyses of listed volatility and variance derivatives.

  • Learn how to use Python for data and financial analysis, and reproduce stylised facts on volatility and variance markets
  • Gain an understanding of the fundamental techniques of modelling volatility and variance and the model-free replication of variance
  • Familiarise yourself with micro structure elements of the markets for listed volatility and variance derivatives
  • Reproduce all results and graphics with IPython/Jupyter Notebooks and Python codes that accompany the book

Listed Volatility and Variance Derivatives is the complete guide to Python-based quantitative analysis of these Eurex derivatives products.

From the Inside Flap

Python in general requires much less code than other languages, like C++ or C#, to accomplish the same goal. Because of this and also due to its powerful ecosystem of libraries, it has become one of the most widely used programming languages and technology platforms in the financial industry. Listed Volatility and Variance Derivatives is your Python-based A-to-Z guide to the most important listed volatility and variance derivatives provided by Eurex.

This complete guide is the first of its kind to offer practical, expert insight into how industry leaders use Python to undertake complex quantitative analysis in the field. From understanding the fundamental techniques of modeling to reproducing your own results and graphics with Jupyter Notebooks, this single resource gives you everything you need to use this powerful language to support portfolio, trading and risk management functions.

Enhance and streamline your quantitative analysis with Listed Volatility and Variance Derivatives.

Product details

  • Format: Kindle Edition
  • File Size: 72751 KB
  • Print Length: 265 pages
  • Page Numbers Source ISBN: 1119167914
  • Publisher: Wiley; 1 edition (10 November 2016)
  • Sold by: Amazon Australia Services, Inc.
  • Language: English
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
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Most helpful customer reviews on 5.0 out of 5 stars 1 reviews
5.0 out of 5 starsFor true Pythonistas wanting to jump inside quant finance
23 December 2016 - Published on
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9 people found this helpful