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Principal Components as a Measure of Systemic Risk

Kritzman, Mark, Li, Yuanzhen, Page, Sébastien, Rigobon, Roberto·2011·The Journal of Portfolio Management

Abstract

The U. S. government’s failure to provide adequate oversight and prudent regulation of the financial markets, together with excessive risk taking by some financial institutions, pushed the world financial system to the brink of systemic failure in 2008. As a consequence of this near catastrophe, both regulators and investors have become keenly interested in developing tools for monitoring systemic risk. But this is easier said than done. Securitization, private transacting, complexity, and “flexible accounting” prevent us from directly observing the many explicit linkages of financial institutions. As an alternative, the authors introduce a measure of implied systemic risk, the absorption ratio, which equals the fraction of the total variance of a set of asset returns explained or “absorbed” by a fixed number of eigenvectors. The absorption ratio captures the extent to which markets are unified or tightly coupled. When markets are tightly coupled, they are more fragile in the sense that negative shocks propagate more quickly and broadly than when markets are loosely linked. TOPICS:Analysis of individual factors/risk premia, volatility measures, statistical methods

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Metadata

Authors
Kritzman, M., Li, Y., Page, S., & Rigobon, R.
Venue
The Journal of Portfolio Management
Published
2011-07-31
Volume
37
Issue
4
Pages
112-126
ISSN
  • 0095-4918 (ISSN-L)
  • 2168-8656
OpenAlex
W3124088450
Cited by
294
References
0
FWCI
26.11
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Principal Components as a Measure of Systemic Risk. https://app.cochat.ai/papers/10.3905/jpm.2011.37.4.112
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Kritzman, M., Li, Y., Page, S., & Rigobon, R. (2011). Principal Components as a Measure of Systemic Risk. The Journal of Portfolio Management. https://doi.org/10.3905/jpm.2011.37.4.112

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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