Abstract
This paper evaluates the informative value of the ECB inflation forecasts vis-à-vis other institutional and model-based forecasts in the euro area using ex post optimal combinations of forecasts and nonnegative weights. From a methodological perspective, we adapt the corresponding forecast encompassing test to the constrained parameter space, showcasing its superior performance over traditional encompassing tests in both size and power properties. Empirically, the combining weights and the forecast encompassing test reveal that the ECB was the most informative forecaster of euro area inflation over the 2009–2021 period. This changed in 2022: The ECB lost its position as the most informative forecaster, and when using rolling windows to estimate the combining weights using a rolling window, we find an important decline in the ECB's weight over time. This time dependency can be associated with the economic environment and, in particular, the level of uncertainty, the monetary policy, and the macro-financial conditions in which the ECB operates.
Original language | English |
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Number of pages | 31 |
Journal | Journal of Forecasting |
DOIs | |
Publication status | E-pub ahead of print - 1 Nov 2024 |
JEL classifications
- e44 - Financial Markets and the Macroeconomy
- e47 - Money and Interest Rates: Forecasting and Simulation: Models and Applications
- e58 - Central Banks and Their Policies
Keywords
- ECB
- euro area
- forecast combinations
- forecast evaluation
- inflation
- REGRESSION
- SELECTION
- DISAGREEMENT
- COMBINATION
- SPARSE
- POLICY
- TESTS
- RATES