ESTIMATING DYNAMIC EULER EQUATIONS WITH MULTIVARIATE PROFESSIONAL FORECASTS

Dynamic Euler equations restrict multivariate forecasts and so can be estimated and tested using the predictions of professional forecasters. We illustrate this novel, empirical method by studying the links between forecasts of U.S. nominal interest rates, inflation, and real consumption growth since 1981. Using forecast data for both returns and macroeconomic fundamentals exploits the complete panel of forecasts from the Survey of Professional Forecasters, which yields 3,400 observations, many more than the 117 quarterly time‐series observations. Harnessing the full panel enhances precision in testing asset‐pricing models and may avoid aggregation bias. We find clear evidence for the Fisher effect but mixed evidence of a relationship between expectations of real interest rates and real consumption growth. (JEL E17, E21, E43)