Analyzing Fixed-Event Forecast Revisions
It is common practice to evaluate fixed-event forecast revisions in macroeconomics by regressing current forecast revisions on one-period lagged forecast revisions. Under weak-form (forecast) efficiency, the correlation between the current and one-period lagged revisions should be zero. The empirical findings in the literature suggest that this null hypothesis of zero correlation is rejected frequently, where the correlation can be either positive (which is widely interpreted in the literature as “smoothing”) or negative (which is widely interpreted as “over-reacting”). We propose a methodology to interpret such non-zero correlations in a straightforward and clear manner. Our approach is based on the assumption that numerical forecasts can be decomposed into both an econometric model and random expert intuition. We show that the interpretation of the sign of the correlation between the current and one-period lagged revisions depends on the process governing intuition, and the current and lagged correlations between intuition and news (or shocks to the numerical forecasts). It follows that the estimated non-zero correlation cannot be given a direct interpretation in terms of smoothing or over-reaction.
|Keywords||evaluating forecasts, fixed-event forecasts, intuition, macroeconomic forecasting, rationality, weakform efficiency|
|JEL||Time-Series Models; Dynamic Quantile Regressions (jel C22), Forecasting and Other Model Applications (jel C53), Forecasting and Simulation (jel E27)|
|Series||Tinbergen Institute Discussion Paper Series|
|Journal||Discussion paper / Tinbergen Institute|
Chang, C-L, de Bruijn, L.P, Franses, Ph.H.B.F, & McAleer, M.J. (2013). Analyzing Fixed-Event Forecast Revisions (No. TI 13-057/III). Discussion paper / Tinbergen Institute (pp. 1–24). Tinbergen Institute. Retrieved from http://hdl.handle.net/1765/39841