 Monitoring Systemic Risk Basedon Dynamic ThresholdsKasper Lund-Jensen No 2012/159, IMF Working Papers from International Monetary Fund Abstract: Successful implementation of macroprudential policy is contingent on the ability to identify and estimate systemic risk in real time. In this paper, systemic risk is defined as the conditional probability of a systemic banking crisis and this conditional probability is modeled in a fixed effect binary response model framework. The model structure is dynamic and is designed for monitoring as the systemic risk forecasts only depend on data that are available in real time. Several risk factors are identified and it is hereby shown that the level of systemic risk contains a predictable component which varies through time. Furthermore, it is shown how the systemic risk forecasts map into crisis signals and how policy thresholds are derived in this framework. Finally, in an out-of-sample exercise, it is shown that the systemic risk estimates provided reliable early warning signals ahead of the recent financial crisis for several economies. Keywords: WP; risk factor; Systemic Risk; Financial Stability; Macroprudential Policy; banking sector leverage; equity price growth; credit-to-GDP gap; credit-to-GDP growth; Systemic crises; Commercial banks; Systemic risk assessment; Real effective exchange rates; Africa; Global (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:imf:imfwpa:2012/159 Ordering information: This working paper can be ordered from Access Statistics for this paper More papers in IMF Working Papers from International Monetary Fund International Monetary Fund, Washington, DC USA. Contact information at EDIRC. |
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