Do Leading Indicators Help to Predict Business Cycle Turning Points in Germany?

Using a binary reference series based on the dating procedure of Artis, Kontolemis and Osborn (1997) different procedures for predicting turning points of the German business cycles were tested. Specifically, a probit model as proposed by Estrella and Mishkin (1997) as well as Markov-switching models were taken into consideration. The overall results indicate that the interest rate spread, the longterm interest rate as well as some monetary indicators and some survey indicators can help predicting turning points of the business cycle.