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On the network topology of variance decompositions: Measuring the connectedness of financial firms
Bibliographic Information
- Published
- 2014-09
- DOI
-
- 10.1016/j.jeconom.2014.04.012
- 10.2139/ssrn.1937613
- 10.2139/ssrn.2316285
- 10.21799/frbp.wp.2011.45
- 10.3386/w17490
- 10.2139/ssrn.1937894
- Publisher
- Elsevier BV
Search this article
Description
We propose several connectedness measures built from pieces of variance decompositions, and we argue that they provide natural and insightful measures of connectedness among fi nancial asset returns and volatilities. 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 both average and daily time-varying connectedness of major U.S. financial institutions' stock return volatilities in recent years, including during the financial crisis of 2007-2008.
Journal
-
- Journal of Econometrics
-
Journal of Econometrics 182 (1), 119-134, 2014-09
Elsevier BV
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Keywords
- credit risk
- market risk
- asset markets
- risk management
- Risk measurement
- G2
- Portfolio management ; Systemic risk ; Risk management
- Kreditrisiko
- systemic risk
- C3
- USA
- Portfolio-Management
- ddc:330
- Finanzkrise
- portfolio allocation
- Risk measurement, risk management, portfolio allocation, market risk, credit risk, systemic risk, asset markets, degree distribution
- degree distribution
- Marktrisiko
- Volatilität
- Systemrisiko
- Kapitaleinkommen
Details 詳細情報について
-
- CRID
- 1362825893296040320
-
- HANDLE
- 10419/108574
-
- ISSN
- 03044076
-
- Data Source
-
- Crossref
- OpenAIRE