Generally speaking, money demand models represent a natural benchmark against which monetary developments can be assessed. In particular, the existence of a well-specified and stable relationship between money and prices can be perceived as a prerequisite for the use of monetary aggregates in...

Money growth in the euro area has exceeded its target since 2001. Likewise, recent empirical studies did not find evidence in favour of a stable long run money demand function. The equation appears to be increasingly unstable if more recent data are used. If the link between money balances and...

We examine real business cycle convergence for 41 euro area regions and 48 US states. Results obtained by a panel model with spatial correlation indicate that the relevance of common business cycle factors is rather stable over the past two decades in the euro area and the US. Ongoing business...

The appropriate design of monetary policy in integrated financial markets is one of the most challenging areas for central banks. One hot topic is whether the rise in liquidity in recent years has contributed to the formation of price bubbles in asset markets. If strong linkages exist, the...

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 examines the stability of money demand and the forecasting performance of a broad monetary aggregate (M3) in predicting euro area inflation. Excess liquidity is measured as the difference between the actual money stock and its fundamental value, the latter determined by a money demand...

The Chinese economic development affects GDP growth and inflation in the advanced countries. A GVAR approach is used to model the interdependencies between the business cycles in China and industrial countries, including the US, the euro area and Japan. For robustness, the results are compared...