Forecasting Interest Rates and Inflation: Blue Chip Clairvoyants or Econometrics?

183 Pages Posted: 22 Nov 2006 Last revised: 3 Feb 2013

See all articles by Albert Lee Chun

Albert Lee Chun

University of Queensland - Business School; Rensselaer Polytechnic Institute (RPI) - Lally School of Management & Technology

Date Written: June 20, 2012

Abstract

This study examines the performance of the professional analysts in the Blue Chip Financial Forecasts vis-à-vis set of competing econometric benchmarks, including shrinkage versions that adjust for in-sample over-fit in improving out-of-sample performance. The individual participants perform the best overall for short horizon forecasts of short to medium term yields and inflation. Econometric models with shrinkage perform the best over longer horizons and maturities. Aggregating over a larger set of analysts improves inflation surveys while generally degrading interest rates surveys. We document predictability in the survey forecast errors, which exhibit substantial variability across di fferent economic episodes, and propose a new adjustment that can substantially improve the performance of the survey participants.

Keywords: Blue Chip Financial Forecasts, Term Structure of Interest Rates, Analysts, Survey Data, Qrinkage, Shrinkage, Forecast Evaluation

JEL Classification: E43, E47, C42, C53

Suggested Citation

Chun, Albert Lee, Forecasting Interest Rates and Inflation: Blue Chip Clairvoyants or Econometrics? (June 20, 2012). EFA 2009 Bergen Meetings Paper. Available at SSRN: https://ssrn.com/abstract=946667 or http://dx.doi.org/10.2139/ssrn.946667

Albert Lee Chun (Contact Author)

University of Queensland - Business School ( email )

Rensselaer Polytechnic Institute (RPI) - Lally School of Management & Technology ( email )

110 8th St
Troy, NY 12180
United States

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