Съдържанието не е налично на български език.
Anthony Garratt
- 3 June 2026
- WORKING PAPER SERIES - No. 3243Details
- Abstract
- Using a recent and comprehensive data set covering nine of the most actively traded currencies on a monthly basis from 1995 to 2024, this paper explores the presence and potential drivers of herding behaviour in foreign exchange rate forecasts. The dataset features an average of 40–50 forecasters per currency, representing a broader range of currencies, a longer time frame, and a larger cross section of forecasters than is commonly found in the FX herding literature. Our results provide mixed evidence on herding, where the balance tends towards anti-herding conclusions.While some revision-based tests suggest herding when current consensus forecasts are used, this evidence weakens considerably when lagged information is employed. In contrast, forecast-error based tests, Bernhardt et al. statistics, and over-reaction regressions more often point to anti-herding, particularly at longer horizons. Overall, we interpret the findings as suggesting thatdifferences among forecasters are largely attributable to heterogeneous views, noise, or idiosyncratic error rather than systematic convergence toward the consensus. When alternative explanations for expectation formation or revisions are considered, the main findings remain unchanged across a wide range of measures, including different types of uncertainty and FX predictors such as the forward premium, the real exchange rate, and the depreciation rate.
- JEL Code
- C10 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→General
C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
F31 : International Economics→International Finance→Foreign Exchange
F47 : International Economics→Macroeconomic Aspects of International Trade and Finance→Forecasting and Simulation: Models and Applications
G17 : Financial Economics→General Financial Markets→Financial Forecasting and Simulation