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  • Book Overview & Buying Mastering Python for Finance
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Mastering Python for Finance

Mastering Python for Finance

3.3 (7)
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Mastering Python for Finance

Mastering Python for Finance

3.3 (7)

Overview of this book

If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.
Table of Contents (12 chapters)
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11
Index

Chapter 6. Interactive Financial Analytics with Python and VSTOXX

Investors use volatility derivatives to diversify and hedge their risk in equity and credit portfolios. Since long-term investors in equity funds are exposed to downside risk, volatility can be used as a hedge for the tail risk and replacement for the put options. In the United States, the Chicago Board Options Exchange (CBOE) Volatility Index (VIX) measures the short-term volatility implied by S&P 500 stock index option prices. Many people around the world use the VIX to measure the stock market volatility over the next 30-day period. In Europe, the EURO STOXX 50 Volatility (VSTOXX) market index is based on the market prices of a basket of Euro STOXX 50 Index Options (OESX) and measures the implied market volatility over the next 30 days on the EURO STOXX 50 Index. For benchmark strategies utilizing the EURO STOXX 50 Index, the nature of its negative correlation with the VSTOXX presents a viable way of avoiding...

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83
Tech Concepts
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Programming languages
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Mastering Python for Finance
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