This paper describes the set of Bayesian vector autoregression (BVAR) models that are being used at Banco de España to project GDP growth rates and to simulate macrofinancial risk scenarios for Brazil and Mexico. The toolkit consists of large benchmark models to produce baseline projections and...

This paper presents a simple, transparent and model-free framework for monitoring the build-up of vulnerabilities in emerging economies that may affect financial stability in Spain through financial, foreign direct investment or trade linkages, or via global turbulences. The vulnerability...

This paper describes the set of Bayesian vector autoregression (BVAR) models that Banco de España uses to project GDP growth rates and to simulate macrofinancial risk scenarios for Brazil and Mexico. The toolkit consists of large benchmark models to produce baseline projections and various...

For central banks, it is crucial to develop and maintain risk identification frameworks that allow them to detect in good time and address potential threats to financial stability with the most appropriate policy tools. This paper reviews the main indicators developed for this purpose by the...