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parametrize it to fit actually observed data. The model is used to make out-of-sample projections of broad money and credit …
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into an early-warning model to predict bank distress among European banks. We use multivariate extreme value theory to …
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In this paper, we investigate the growing prominence of credit in the systemic banking crisis prediction literature … of the absolute change in credit-to-GDP ratio as an early warning system indicator of systemic banking crises. The … findings reveal that the accelerated financialisation of economies turns the excess supply of credit into generating conditions …
Persistent link: https://www.econbiz.de/10013198128
The Scaled Model of Error has gained considerable popularity during the past ten years as a device for computing probabilistic population forecasts of the cohort-component type. In this report we investigate how sensitive probabilistic population forecasts produced by means of the Scaled Model...
Persistent link: https://www.econbiz.de/10008772871
In this paper we propose a framework for measuring and stress testing the systemic risk of a group of major financial institutions. The systemic risk is measured by the price of insurance against financial distress, which is based on ex ante measures of default probabilities of individual banks...
Persistent link: https://www.econbiz.de/10013009194
This paper investigates the role of bank credit in predicting U.S. recessions since the 1960s in the context of a … bivariate probit model. A set of results emerge. First, credit booms are shown to have strong positive effects in predicting … declines in the business cycle at horizons ranging from six to nine months. Second, I propose to isolate the effect of credit …
Persistent link: https://www.econbiz.de/10012863483
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