Forecaster Overconfidence and Market Survey Performance

50 Pages Posted: 21 May 2015 Last revised: 16 Apr 2018

See all articles by Richard Deaves

Richard Deaves

McMaster University - Michael G. DeGroote School of Business

Jin Lei

Brock University

Michael Schröder

affiliation not provided to SSRN

Date Written: 2015

Abstract

We document using the ZEW panel of German stock market forecasters that weak forecasters tend to be overconfident in the sense that they provide extreme forecasts and their confidence intervals are less likely to contain eventual realizations. Moderate filters based on forecast accuracy over short rolling windows are somewhat successful in improving predictability. While poor performance can be due to various factors, a filter based on a prior tendency to provide extreme forecasts also improves predictability.

Keywords: Overconfidence, Forecasting Performance, Stock Market

JEL Classification: G02, G17

Suggested Citation

Deaves, Richard and Lei, Jin and Schröder, Michael, Forecaster Overconfidence and Market Survey Performance (2015). ZEW - Centre for European Economic Research Discussion Paper No. 15-029, Available at SSRN: https://ssrn.com/abstract=2608087 or http://dx.doi.org/10.2139/ssrn.2608087

Richard Deaves

McMaster University - Michael G. DeGroote School of Business ( email )

1280 Main Street West
Hamilton, Ontario L8S 4M4
Canada
905-522-3976 (Phone)

Jin Lei

Brock University ( email )

500 Glenridge Avenue
St. Catherines, Ontario L2S 3A1
Canada

Michael Schröder (Contact Author)

affiliation not provided to SSRN

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