CFA Level 2 Quant: Moving Beyond Autocorrelation to Autoregression (And Why AI Won’t Replace You Yet)

"Before I forecast, I check the residuals." Good luck conquering the L2 Quant jungle. Next stop: Derivatives (where the real fun begins). Need help with a specific ML algorithm or Time-Series model? Drop a comment below.

Memorize the assumptions. Know the violations. Don't fear the Random Walk.

Here is the reality check you need to pass CFA Level 2 Quant. Forget cross-sectional data (looking at many companies at one point in time). At Level 2, you live in a time-series world (looking at one company over many points in time).

If you passed CFA Level 1, you probably remember Quantitative Methods as the section where you learned to describe data (standard deviation, skew, kurtosis) and run a simple linear regression.