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Abstract
This chapter defines a set of banking stability measures that take account of distress dependence among the banks in a system, thereby providing a set of tools to analyze stability from complementary perspectives by allowing the measurement of (1) common distress of the banks in a system; (2) distress between specific banks; and (3) distress in the system associated with a specific bank. Our approach defines the banking system as a portfolio of banks and infers the Banking System’s (Portfolio) Multivariate Density (BSMD) from which the proposed measures are estimated. The BSMD embeds the banks’ default interdependence structure that captures linear and nonlinear distress dependencies among the banks in the system and its changes at different times of the economic cycle. The BSMD is recovered using the Consistent Information Multivariate Density Optimizing approach, a new approach that in the presence of restricted data improves density specification without explicitly imposing parametric forms that, under restricted data sets, are difficult to model. Thus, the proposed measures can be constructed from a very limited set of publicly available data and can be provided for a wide range of both developing and developed economies.
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