Home  | Legals | Sitemap | KIT

Measuring Connectedness in High-Dimensional Networks: Lasso-ing Variance Decomposition

Measuring Connectedness in High-Dimensional Networks: Lasso-ing Variance Decomposition

Themabeschreibung

  • use Lasso to shrink and estimate sparse VAR
  • derive sparse variance decomposition matrix to quantify connectedness clearly
  • Empirical study: data mostly ready to use
  • Economic, Statistical techniques used: LASSO for VAR,  variance decomposition
  • references:
    •  Demirer et al. (2015): Estimating global bank network connectedness
    • Tibshirani (1996): Regression shrinkage and selection via the lasso
    • Lütkepohl (2005): New introduction to multiple time series analysis