This paper explores the stability of the relation between money demand for M3 and inflation in the euro area by including the recent period of the financial crisis. Evidence is based on a cointegration analysis, where inflation and asset prices are allowed to enter the long run relationship. By...

This paper explores the stability of the relation between money demand for M3 and inflation in the euro area by including the recent period of the financial crisis. Evidence is based on a cointegration analysis, where inflation and asset prices are allowed to enter the long run relationship. By...

This paper explores the stability of the relation between money demand for M3 and inflation in the euro area by including the recent period of the financial crisis. Evidence is based on a cointegration analysis, where inflation and asset prices are allowed to enter the long run relationship. By...

Since the outbreak of the Corona virus, policymakers around the globe introduced numerous emergency measures such as the wearing of masks, restrictions to mobility and travel and the shutdown of large parts of the economy, including firms, workplaces and schools. The implementation of...

We investigate the likely sources of exchange rate dynamics in selected CIS countries (Russia, Kazakhstan, Ukraine, Kyrgyzstan, Azerbaijan, and Moldova) over the past decade (1999-2008). The analysis is based on country VAR models augmented by a regional common factor structure (FAVAR model)....

We investigate the likely sources of exchange rate dynamics in selected member countries of the Commonwealth of Independent States (CIS; Russia, Kazakhstan, Ukraine, Kyrgyzstan, Azerbaijan, and Moldova) over the past decade (1999-2010). Evidence is based on country VARs augmented by a regional...

The European debt crisis has revealed serious deficiencies and risks on a proper functioning of the monetary union. Against this backdrop, early warning systems are of crucial importance. In this study that focuses on euro area member states, the robustness of early warning systems to predict...