Search

This paper aims at assessing the usefulness of leading indicators in business cycle research and forecast. Initially we test the predictive power of the economic sentiment indicator (ESI) within a static probit model as a leading indicator, commonly perceived to be able to provide a reliable summary of the current economic conditions. We further proceed analyzing how well an extended set of indicators performs in forecasting turning points of the Macedonian business cycle by employing the Qual VAR approach of Dueker (2005). In continuation, we evaluate the quality of the selected indicators in pseudo-out-of-sample context. The results show that the use of survey-based indicators as a complement to macroeconomic data work satisfactory well in capturing the business cycle developments in Macedonia.

With the Federal Funds rate approaching the zero lower bound, the U.S. Federal Reserve adopted a range of unconventional monetary policy measures known as Quantitative Easing (QE). Quantifying the impact QE has on the real economy, however, is not straightforward as standard tools such as VAR models cannot easily be applied. In this paper we use the Qual VAR model (Dueker, 2005) to combine binary information about QE announcements with an otherwise standard monetary policy VAR. The model filters an unobservable propensity to QE out of the observable data and delivers impulse responses to a QE shocks. In contrast to other empirical approaches, QE is endogenously depending on the business cycle, can easily be studied in terms of unexpected policy shocks and its dynamic effects can be compared to a conventional monetary easing. We show that QE shocks have a large impact on real and nominal interest rates and financial conditions and a smaller impact on real activity.