Publication: On the network topology of variance decompositions: measuring the connectedness of financial firms (Reprinted from Journal of Econometrics, Vol 182, Issue 1, September 2014, Pages 119-134)
Program
KU-Authors
KU Authors
Co-Authors
Diebold, Francis X.
Advisor
Publication Date
2023
Language
en
Type
Other
Journal Title
Journal ISSN
Volume Title
Abstract
We propose several connectedness measures built from pieces of variance decomposi-tions, 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 U.S. financial institutions' stock return volatilities in recent years, with emphasis on the financial crisis of 2007-2008.
Description
Source:
Journal of Econometrics
Publisher:
Elsevier Science Sa
Keywords:
Subject
Economics, Mathematics, Interdisciplinary applications, Social sciences, Mathematical methods