Are specific developments in stock prices in line with fundamentals or do they reflect a rising bubble? And if the latter result applies, how is it possible to detect a bubble in real time? The answer to this question is of utmost relevance for a number of areas, not least for either financial market participants or for central banks aiming at pursuing a policy of 'leaning against the wind'. In this study, we make use of a sample of 17 OECD industrialised countries and the euro area over the sample period 1969 Q1 - 2008 Q3 and carry out univariate and multivariate panel tests to find evidence of bubbles in the stock market of those countries over the past four decades.
Recently, a number of studies have made an attempt to deal with the key issue of the incompleteness of information available to the central bank when taking its monetary policy decisions. This study adds to this literature by tackling the problem with regard to the euro area. The analysis is based on the simplistic assumption of the central bank following a simple monetary policy rule ?-la-Taylor. Along the lines of work suggested by Orphanides, the study tries to assess whether estimates of reaction functions which are carried out using revised data for the euro area can convey a misleading message in terms of policy recommendations.
AbstractThe analysis of monetary developments has always been a cornerstone of the ECB's monetary analysis and, thus, of its overall monetary policy strategy. In this respect, money demand models provide a framework for explaining monetary developments and assessing price stability over the medium term. It is a well‐documented fact in the literature that, when interest rates are at the zero‐lower bound, the analysis of money stocks become even more important for monetary policy. Therefore, this paper re‐investigates the stability properties of M3 demand in the euro area in the light of the recent economic crisis. A cointegration analysis is performed over the sample period 1983 Q1 and 2015 Q1 and leads to a well‐identified model comprising real money balances, income, the long‐term interest rate and the own rate of M3 holdings. The specification appears to be robust against the Lucas critique of a policy dependent parameter regime, in the sense that no signs of breaks can be found when interest rates reach the zero‐lower bound. Furthermore, deviations of M3 from its equilibrium level do not point to substantial inflation pressure at the end of the sample. Excess liquidity models turn out to outperform the autoregressive benchmark, as they deliver more accurate CPI inflation forecasts, especially at the longer horizons. The inclusion of unconventional monetary policy measures does not contradict these findings.