Banking Stability Measures

By C. A. E. Goodhart, Miguel A. Segoviano

January 1, 2009

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C. A. E. Goodhart, and Miguel A. Segoviano Banking Stability Measures, (USA: International Monetary Fund, 2009) accessed November 21, 2024

Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate

Summary

This paper defines a set of banking stability measures which 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 (i) common distress of the banks in a system, (ii) distress between specific banks, and (iii) distress in the system associated with a specific bank. Our approach defines the banking system as a portfolio of banks and infers the system's multivariate density (BSMD) from which the proposed measures are estimated. The BSMD embeds the banks' default inter-dependence structure that captures linear and non-linear distress dependencies among the banks in the system, and its changes at different times of the economic cycle. The BSMD is recovered using the CIMDO-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 countries.

Subject: Banking, Business cycles, Commercial banks, Credit default swap, Systemic risk

Keywords: Banking system, Distress dependence, Financial market, WP

Publication Details

Pages:

54
Volume:

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DOI:

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Issue:

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Series:

Working Paper No. 2009/004
Stock No:

WPIEA2009004
ISBN:

9781451871517
ISSN:

1018-5941

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