Showing 1 - 10 of 282
We propose a novel time-varying parameters mixed-frequency dynamic factor model which is integrated into a dynamic model averaging framework for macroeconomic nowcasting. Our suggested model can efficiently deal with the nature of the real-time data flow as well as parameter uncertainty and...
Persistent link: https://www.econbiz.de/10012119825
There has been increased interest in the use of "big data" when it comes to forecasting macroeconomic time series such … as private consumption or unemployment. However, applications on forecasting GDP are rather rare. In this paper we … incorporate Google search data into a Bridge Equation Model, a version of which usually belongs to the suite of forecasting models …
Persistent link: https://www.econbiz.de/10011667109
To simultaneously consider mixed-frequency time series, their joint dynamics, and possible structural changes, we introduce a time-varying parameter mixed-frequency VAR. To keep our approach from becoming too complex, we implement time variation parsimoniously: only the intercepts and a common...
Persistent link: https://www.econbiz.de/10011903709
The severity function approach (abbreviated SFA) is a method of selecting adverse scenarios from a multivariate density. It requires the scenario user (e.g. an agency that runs banking sector stress tests) to specify a "severity function", which maps candidate scenarios into a scalar severity...
Persistent link: https://www.econbiz.de/10011755965
horizon-dependent biases and lower accuracy than simple unconditional uncertainty forecasts. We examine the inflation …
Persistent link: https://www.econbiz.de/10011962843
find a higher average forecast accuracy of models that incorporate information on inflation expectations from the ECB’s SPF … inflation expectations are typically not large but significant in some periods. Both short- and long-term expectations provide … (not always for the countries). The analysis is undertaken for headline inflation and inflation excluding energy and food …
Persistent link: https://www.econbiz.de/10012792526
Johansen (2002) suggests a counterfactual experiment that can be implemented in the vector autoregressive model to interpret the coefficients of an identified cointegrating relation. This article proposes an alternative counterfactual experiment ("design of experiment") that, contrary to the one...
Persistent link: https://www.econbiz.de/10012023820
Recently, several institutions have increased their forecast horizons, and many institutions rely on their past forecast errors to estimate measures of forecast uncertainty. This work addresses the question how the latter estimation can be accomplished if there are only very few errors available...
Persistent link: https://www.econbiz.de/10010465566
We evaluate the role of financial conditions as predictors of macroeconomic risk first in the quantile regression framework of Adrian et al. (2019b), which allows for non-linearities, and then in a novel linear semi-structural model as proposed by Hasenzagl et al. (2018). We distinguish between...
Persistent link: https://www.econbiz.de/10012173525
Forecasts are useless whenever the forecast error variance fails to be smaller than the unconditional variance of the target variable. This paper develops tests for the null hypothesis that forecasts become uninformative beyond some limiting forecast horizon h. Following Diebold and Mariano (DM,...
Persistent link: https://www.econbiz.de/10011826055