We analyze how modeling international dependencies improves forecasts for the global economy based on a Bayesian GVAR … density into its marginals and a copula term capturing the dependence structure across countries. The GVAR outperforms … structure across countries, whereas the GVAR does not yield better predictive marginal densities. The relative performance gains …

evaluate its impact on banking system capitalization. Our method uses the Global Vector Autoregressive (GVAR) Model to generate … adverse macroeconomic scenarios. The GVAR model is combining by the satellite credit risk equation to find the non …-performing loan under stress conditions. The advantage of using GVAR model is that on the one hand, it captures the transmission of …

In this paper, I propose an instrumental variable (IV) estimation procedure to estimate global VAR (GVAR) models and … simple conditions that guarantee that the GVAR model is stable. …

The Chinese economic development affects GDP growth and inflation in the advanced countries. A GVAR approach is used to …

We present evidence that global vectorautoregressive (GVAR) models produce significantly more accurate recession …

We analyze how modeling international dependencies improves forecasts for the global economy based on a Bayesian GVAR … density into its marginals and a copula term capturing the dependence structure across countries. The GVAR outperforms … structure across countries, whereas the GVAR does not yield better predictive marginal densities. The relative performance gains …

We develop an integrated Early Warning Global Vector Autoregressive (EW-GVAR) model to quantify the costs and benefits …