The B.E. Journal of Macroeconomics
Editor-in-Chief: Cavalcanti, Tiago / Kambourov, Gueorgui
Ed. by Abraham, Arpad / Carceles-Poveda , Eva / Debortoli, Davide / Lambertini, Luisa
2 Issues per year
IMPACT FACTOR 2015: 0.164
5-year IMPACT FACTOR: 0.403
SCImago Journal Rank (SJR) 2015: 0.205
Source Normalized Impact per Paper (SNIP) 2015: 0.317
Impact per Publication (IPP) 2015: 0.222
Are Banking Supervisory Data Useful for Macroeconomic Forecasts?
Some argue that central banks can improve monetary policy by including confidential supervisory assessments of banking organizations in their forecasts of inflation and unemployment. In this study we examine the extent to which forecasts of these variables would have been improved with the inclusion of supervisory data. We begin by reproducing the earlier results used to support the claim. We critically examine them and extend the analysis from in-sample to out-of-sample testing. Finally, we check the robustness of our findings by extending the analysis period, using a different methodology to determine the contribution to forecasts, and substituting a different measure of supervisory information. Our analysis does not support claims that confidential supervisory information would have improved forecasts of inflation. Confidential supervisory information improved forecasts of unemployment in some periods. It is unclear, however, if the frequency or level of improvement would have altered monetary policy in a nontrivial way.
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