Covariance Matrix Comparisons

Compare empirical, shrinkage, and GARCH covariance matrices.

Covariance Matrix Comparison

Three covariance matrices are produced, each with different properties: empirical (backward-looking, high estimation error), shrinkage (regularized, stable), and GARCH (forward-looking, captures current volatility). The choice of matrix depends on the investment application.

Key Steps:
Condition Number: $$ \kappa(Q) = \frac{\lambda_{\max}}{\lambda_{\min}} $$
Portfolio Variance: $$ \sigma_p^2 = w^\top Q w $$

Interactive Charts (8 charts)

43. Empirical vs Shrinkage Volatility

44. Empirical vs GARCH Volatility

45. Shrinkage vs GARCH Volatility

46. Correlation Diff (Emp - Shrink)

47. Correlation Diff (Emp - GARCH)

48. Eigenvalue Comparison

49. Condition Number

50. Portfolio Variance