Modeling Banking, Sovereign, and Macro Risk in a CCA Global VAR

Dale Gray

No 2013/218, IMF Working Papers from International Monetary Fund

Abstract: The purpose of this paper is to develop a model framework for the analysis of interactions between banking sector risk, sovereign risk, corporate sector risk, real economic activity, and credit growth for 15 European countries and the United States. It is an integrated macroeconomic systemic risk model framework that draws on the advantages of forward-looking contingent claims analysis (CCA) risk indicators for the banking systems in each country, forward-looking CCA risk indicators for sovereigns, and a GVAR model to combine the banking, the sovereign, and the macro sphere. The CCA indicators capture the nonlinearity of changes in bank assets, equity capital, credit spreads, and default probabilities. They capture the expected losses, spreads and default probability for sovereigns. Key to the framework is that sovereign credit spreads, banking system credit risk, corporate sector credit risk, economic growth, and credit variables are combined in a fully endogenous setting. Upon estimation and calibration of the global model, we simulate various negative and positive shock scenarios, particularly to bank and sovereign risk. The goal is to use this framework to analyze the impact and spillover of shocks and to help identify policies that would mitigate banking system, sovereign credit risk and recession risk—policies including bank capital increases, purchase of sovereign debt, and guarantees.

Keywords: WP; fair value; risk indicator; capital ratio; credit risk; contingent claims analysis (CCA); global vector autoregression (GVAR); senior debt; bank assets; CCA balance sheets; bank risk; bank creditor; market value; bank capital; asset volatility; bank CD; Commercial banks; Credit; Corporate sector; Credit default swap; Global (search for similar items in EconPapers)
Pages: 62
Date: 2013-10-23
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Citations: View citations in EconPapers (42)

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