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