On the network topology of variance decompositions: Measuring the connectedness of financial firms

A-Tier
Journal: Journal of Econometrics
Year: 2014
Volume: 182
Issue: 1
Pages: 119-134

Authors (2)

Diebold, Francis X. (not in RePEc) Yılmaz, Kamil (not in RePEc)

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We propose several connectedness measures built from pieces of variance decompositions, and we argue that they provide natural and insightful measures of connectedness. We also show that variance decompositions define weighted, directed networks, so that our connectedness measures are intimately related to key measures of connectedness used in the network literature. Building on these insights, we track daily time-varying connectedness of major US financial institutions’ stock return volatilities in recent years, with emphasis on the financial crisis of 2007–2008.

Technical Details

RePEc Handle
repec:eee:econom:v:182:y:2014:i:1:p:119-134
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-25