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How to assess forecastability

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
<mark>Journal publication date</mark>2009
<mark>Journal</mark>Foresight: The International Journal of Applied Forecasting
Issue number13
Number of pages5
Pages (from-to)41-45
Publication StatusPublished
<mark>Original language</mark>English

Abstract

Concluding a section on How to Assess Forecastability (Foresight, Issue 13), Stephan Kolassa comments on papers by Peter Catt and John Boylan (in the same issue). Stephan contrasts Catt’s preferred metric, approximate entropy, with Boylan’s lowest achievable forecast error (lower bound), seeking a practical synthesis of the two views. He also expands upon the meaning of the entropy metric and discusses key issues in the entropy calculation. Copyright International Institute of Forecasters, 2009