Financial Modeling & Analysis

Volatility Trading Analysis with Python free download

Volatility Trading Analysis with Python free download
Volatility Trading Analysis with Python . Read CBOE® and S&P 500 volatility strategies benchmark indexes and replicating funds data . Use Python to perform historical volatility trading analysis by installing related packages and running code on Python IDE . Estimate historical or realized volatility through close to close, Parkinson, Garman-Klass and Rogers-Satchell metrics . Measure market participants implied volatility through related volatility index . Explore volatility and asset returns correlation, volatility risk premium, volatility term structure and volatility skew patterns . Use the Python language to help you understand the volatility of futures prices and explore volatility and assets returns correlation . For more information on how to use Python, visit trading analysis .Authentication failed. Unique API key is not valid for this user.

Who this course is for:

  • Undergraduates or postgraduates who want to learn about volatility trading analysis using Python programming language.
  • Finance professionals or academic researchers who wish to deepen their knowledge in derivatives finance.
  • Sophisticated investors with experience in financial derivatives who desire to research volatility trading strategies.
  • This course is NOT about “get rich quick” trading strategies or magic formulas.
File Name :Volatility Trading Analysis with Python free download
Content Source:udemy
Genre / Category:Finance & Accounting
File Size :4.67 gb
Publisher :Diego Fernandez
Updated and Published:06 Jun,2022

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