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Mastering Python for Finance

You're reading from   Mastering Python for Finance Implement advanced state-of-the-art financial statistical applications using Python

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789346466
Length 426 pages
Edition 2nd Edition
Languages
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Author (1):
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James Ma Weiming James Ma Weiming
Author Profile Icon James Ma Weiming
James Ma Weiming
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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: Getting Started with Python
2. Overview of Financial Analysis with Python FREE CHAPTER 3. Section 2: Financial Concepts
4. The Importance of Linearity in Finance 5. Nonlinearity in Finance 6. Numerical Methods for Pricing Options 7. Modeling Interest Rates and Derivatives 8. Statistical Analysis of Time Series Data 9. Section 3: A Hands-On Approach
10. Interactive Financial Analytics with the VIX 11. Building an Algorithmic Trading Platform 12. Implementing a Backtesting System 13. Machine Learning for Finance 14. Deep Learning for Finance 15. Other Books You May Enjoy

Volatility derivatives

The two most popular volatility indexes worldwide are the VIX and VSTOXX, which are available in the United States and Europe respectively. The VIX is based on the S&P 500 Index that is disseminated on the CBOE. While the VIX is not traded directly, derivative products of the VIX such as options, futures, exchange-traded funds, and a host of volatility-based securities are available to investors. The CBOE website provides comprehensive information on many options and market indices such as the S&P 500 standard and weekly options, and the VIX, which we can analyze. We begin by understanding the background of these products before performing financial analytics on them in the later sections of this chapter.

STOXX and the Eurex

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