Approximating Fixed‐Horizon Forecasts Using Fixed‐Event Forecasts
Year: 2025
Type: article
Abstract: ABSTRACT Many forecast surveys ask their participants for fixed‐event forecasts. As fixed‐event forecasts have seasonal properties, users often employ an ad hoc approach to approximate fixed‐horizon forecasts based on these fixed‐event forecasts. We derive an optimal approximation for fixed‐horizon forecasts by minimizing the mean‐squared approximation error. Like the ad hoc approach, our approximation employs a weighted average of the fixed‐event forecasts. The optimal weights tend to differ substantially from those of the ad hoc approach. In empirical applications, the gains from using optimal instead of ad hoc weights turn out to be sizeable. The approximation approach proposed can also be useful in other applications.
Source: Journal of Applied Econometrics
DOI: 10.1002/jae.3114
Authors: Malte Knüppel, Andreea L. Vladu
Institutions: Deutsche Bundesbank, European Central Bank
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $4,030
Funder: Deutsche Bundesbank
OpenAlex ID: W3122930918
