Golden rule of forecasting: Be conservative
J. Armstrong,
Kesten Green and
Andreas Graefe
Journal of Business Research, 2015, vol. 68, issue 8, 1717-1731
Abstract:
This article proposes a unifying theory, or the Golden Rule, of forecasting. The Golden Rule of Forecasting is to be conservative. A conservative forecast is consistent with cumulative knowledge about the present and the past. To be conservative, forecasters must seek out and use all knowledge relevant to the problem, including knowledge of methods validated for the situation.
Keywords: Analytics; Bias; Big data; Checklists; Combining; Uncertainty (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (46)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296315001459
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Golden Rule of Forecasting: Be conservative (2014) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:68:y:2015:i:8:p:1717-1731
DOI: 10.1016/j.jbusres.2015.03.031
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().