Spatial Dependence and Data-Driven Networks of International Banks /
This paper computes data-driven correlation networks based on the stock returns of international banks and conducts a comprehensive analysis of their topological properties. We first apply spatial-dependence methods to filter the effects of strong common factors and a thresholding procedure to selec...
| Hovedforfatter: | |
|---|---|
| Andre forfattere: | |
| Format: | Tidsskrift |
| Sprog: | English |
| Udgivet: |
Washington, D.C. :
International Monetary Fund,
2016.
|
| Serier: | IMF Working Papers; Working Paper ;
No. 2016/184 |
| Online adgang: | Full text available on IMF |