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Learn to calculate and distinguish between simple and continuously compounded returns while mastering key statistical concepts essential for financial risk management. Explore the definitions and differences between volatility, variance rate, and implied volatility, understanding when the first two moments may be insufficient for describing non-normal distributions. Discover how to apply the Jarque-Bera test to determine whether returns follow normal distributions and understand the power law's application to non-normal distributions. Master the concepts of correlation and covariance, learning to differentiate between correlation and dependence, and examine the properties of correlations between normally distributed variables using one-factor models. This 46-minute tutorial covers Chapter 12 of the FRM Part 1 2025 curriculum from Book 2, providing comprehensive coverage of measuring return, volatility, and correlation concepts through structured lessons on volatility fundamentals, power law applications, correlation analysis, independence relationships, and factor modeling approaches.
