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...

Mit einem Markov-Switching-Modell können die monatlichen Veränderungen des ifo Geschäftsklimas in Wahrscheinlichkeiten für die beiden konjunkturellen Regime »Expansion« bzw. «Kontraktion« umgesetzt werden. Diese Wahrscheinlichkeiten – abgebildet in der ifo Konjunkturampel – liefern...

Der Beitrag liefert einen kurzen Überblick über alternative Methoden der Bestimmung von Konjunkturzyklen - die Ermittlung auf Grundlage vor-, gleich- und nachlaufender Zeitreihen gesamtwirtschaftlicher Variablen sowie die Zerlegung in Trend- und Zykluskomponenten mittels ökonometrischer...

We construct a framework for measuring economic activity at high frequency, potentially in real time. We use a variety of stock and flow data observed at mixed frequencies (including very high frequencies), and we use a dynamic factor model that permits exact filtering. We illustrate the...

The Great Recession and the subsequent period of subdued GDP growth in most advanced economies have highlighted the need for macroeconomic forecasters to account for sudden and deep recessions, periods of higher macroeconomic volatility, and fluctuations in trend GDP growth. In this paper, we...

I estimate a dynamic factor from the risk premium of carry trading of bilateral US Dollar against 15 OECD countries and use that factor to augment the macro fundamentals suggested by the Taylor rule, monetary and purchasing power parity models. Meese and Rogoff (1983) show economic models of...

This paper proposes a simple technical approach for the analytical derivation of Point-in-Time PD (probability of default) forecasts, with minimal data requirements. The inputs required are the current and future Through-the-Cycle PDs of the obligors, their last known default rates, and a...

In this paper, a large amount of different financial and macroeconomic variables are used to predict the U.S. recession periods. We propose a new cost-sensitive extension to the gradient boosting model which can take into account the class imbalance problem of the binary response variable. The...

This working paper documents an econometric model for detecting turning points in the Danish economy in real time. The model is a mixedfrequency model using both monthly and quarterly data, which can be estimated on an unbalanced panel of data and be updated immediately as data comes through....

We present a medium-scale dynamic factor model to estimate and forecast the rate of growth of the Spanish economy in the very short term. The intermediate size of the model overcomes the serious specification problems associated with large scale-models and the implicit loss of information of...