Regelmäßige Veröffentlichungen makroökonomischer Kennzahlen, die von den Erwartungen der Marktteilnehmer abweichen, wirken sich in rund zwei Drittel der Fälle sofort auf den deutschen Aktienmarkt aus. Vor allem Daten zu Investitionen, Zahlen über die realwirtschaftlichen Aktivitäten oder...

We examine how regularly scheduled macroeconomic announcements for the U.S., Germany and the euro area affect the German stock market, using high–frequency, minute–by–minute DAX data. Our study extends the literature on high–frequency announcement effects in several ways. First, we...

Different studies provide a surprisingly large variety of controversial conclusions about the forecasting power of an indicator, even when it is supposed to forecast the same time series. In this study, we aim to provide a thorough overview of linear forecasting techniques and draw conclusions...

This Handbook aims to provide an overview of regular survey activities, as well as to show how survey results can be used scientifically in the context of business-cycle analysis and forecasting.

We provide a detailed hands-on tutorial for the R add-on package <Emphasis Type="Bold">mboost. The package implements boosting for optimizing general risk functions utilizing component-wise (penalized) least squares estimates as base-learners for fitting various kinds of generalized linear and generalized additive...</emphasis>

In recent years, with the availability of high-frequency financial market data modeling realized volatility has become a new and innovative research direction. The construction of “observable” or realized volatility series from intra-day transaction data and the use of standard time-series...