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What are Consensus Forecasts?

A consensus forecast is a simple arithmetic average of all of the individual predictions collected by Consensus Economics for a single economic indicator in one of our monthly surveys. Each month we ask the world's leading forecasters for their predictions for more than 1,000 variables from over 70 countries in North America, Europe, Asia Pacific and Latin America. Incoming survey responses are then processed using proprietary software and checked for accuracy, completeness and integrity. For the principal countries covered, our publications show the forecasts of individual panellists for each economic indicator, along with the average or 'consensus' estimate.

The table below shows a small sample of the data from one of our surveys of forecasts for the United States (in this case, from our July 9, 2007 survey).

Forecasters For
The United States
Gross Domestic Product
Consumer Price Inflation
 % change over previous year
2007
2008
2007
2008
  The Conference Board
2.3
3.4
3.0
3.4
  JP Morgan
2.3
3.4
3.0
3.4
  Eaton Corporation
2.3
3.1
3.2
3.1
  DuPont
2.2
2.9
2.5
2.0
  Bear Stearns
2.2
2.9
2.9
3.1
  Wachovia Corp
2.2
3.2
2.5
2.3
  Wells Capital
2.2
2.8
3.0
2.9
  Morgan Stanley
2.2
2.9
2.9
2.6
  Oxford Economics
2.2
3.1
2.5
1.8
  Lehman Brothers
2.2
2.5
2.9
2.9
  Standard & Poor's
2.2
3.2
2.4
1.6
  Fannie Mae
2.1
2.9
2.8
2.5
  Nat Assn of Home Builders
2.1
2.9
2.6
2.6
  Moody's Economy.com
2.1
2.9
2.6
2.3
  Macroeconomic Advisers
2.1
2.8
2.8
2.4
  Daimler Chrysler
2.1
3.2
2.8
2.5
  General Motors
2.1
2.8
3.1
3.0
  Global Insight
2.1
2.8
2.5
1.8
  Goldman Sachs
2.1
2.6
2.8
2.2
  Bank America Corp
2.0
3.1
2.7
2.3
  Swiss Re
2.0
3.0
2.5
1.7
  Ford Motor Corp
2.0
2.8
2.0
2.0
  Econ Intelligence Unit
1.9
2.5
2.3
2.5
  Inforum - Univ of Maryland
1.9
2.7
3.0
3.0
  Merrill Lynch
1.9
2.3
2.8
2.0
  United States Trust
1.9
2.1
2.5
1.9
  Univ of Michigan - RSQE
1.9
3.0
2.5
2.1
  Northern Trust
1.8
2.2
2.7
2.0
  Georgia State University
1.8
2.8
2.4
1.9
  Consensus (Average)
2.1
2.8
2.7
2.4
  Last Month's Mean
2.1
2.9
2.6
2.4
  3 Months Ago
2.3
2.9
2.1
2.2
  High
2.3
3.4
3.2
3.4
  Low
1.8
2.1
2.0
1.6
  Standard Deviation
0.1
0.3
0.3
0.5

How Accurate are Consensus Forecasts?


A significant body of academic research (see below) has concluded that consensus forecasts have a better track record than most of the individual forecasts which make up the consensus, because few, if any, individuals manage to consistently outperform the average. While in any one year some forecasting panellists will probably do better than the consensus in terms of predicting the correct outcome, these 'top performers' will vary from year to year and are very difficult to identify in advance. Consequently, using a consensus prediction from a group of expert forecasters can improve accuracy and enhance the work of our subscribers, who include investment managers, treasury executives, corporate planners, central bankers and government departments around the world.

Academic Research on Averaging Forecasts and Forecast Accuracy:

Roy Batchelor (City University Business School), "The OECD and the IMF Versus Consensus Forecasts", August 2000. For further details see http://www.staff.city.ac.uk/r.a.batchelor/. Alternatively, contact: Ms. Claire Abdul-Obitayo, City University Business School, Frobisher Crescent, Barbican Centre, London EC2Y 8HB, United Kingdom. Tel: (44) 20 7477 8733 Fax: (44) 20 7477 8881

Marten Blix, Joachim Wadefjord, Ulrika Wienecke and Martin Adahl (Swedish Central Bank), "How Good is the Forecasting Performance of Major Institutions?", Economic Review of the Swedish Central Bank, Autumn 2001. The complete study is available as a PDF download at www.riksbank.com under Press and Published - Articles - Economic Review 2001:3.

Stephen K. McNees (Federal Reserve Bank of Boston), "Consensus Forecasts: Tyranny of the Majority", New England Economic Review, November 1987.

Victor Zarnowitz (University of Chicago and National Bureau of Economic Research), "The Accuracy of Individual and Group Forecasts from Business Outlook Surveys", Journal of Forecasting, January 1984.




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