Normality Testing Jarque–Bera and Shapiro–Wilk скачать в хорошем качестве

Normality Testing Jarque–Bera and Shapiro–Wilk

This lecture explains how to test normality in financial returns using the Jarque–Bera and Shapiro–Wilk tests. We build intuition using histograms, KDEs, and normal Q–Q plots, and show why financial return data often look normal in the center but fail in the tails. The video clarifies what rejection of normality really means, how skewness and fat tails drive the results, and why this behavior is expected in finance rather than a problem. The analysis is demonstrated using monthly sector returns implemented on the Finance Research Gate platform, with an applied, econometrics-focused interpretation.