Biases in multi-year management financial forecasts: evidence from private venture-backed U.S. companies: discussion
Author: Demers, Elizabeth INSEAD Area: Accounting and ControlIn: Review of Accounting Studies, vol. 12, no. 2-3, September 2007 Language: EnglishDescription: p. 217-225.Type of document: INSEAD ArticleNote: Please ask us for this itemAbstract: Armstrong, Dávila, Foster, and Hand ("ADFH") use a proprietary venture capital database of revenue and profit projections submitted by young firms seeking financing to attempt to address a number of questions related to forecasts by managers of early stage, venture-backed, private entrepreneurial firms. The proprietary dataset together with the creative use of a "historically-grounded conditional projections" methodology are the most interesting features of ADFH's study. However, these same aspects give rise to empirical design constraints that the study does not fully overcome. In addition, there are numerous leaps of logic required to arrive at some of ADFH's conclusions and there are alternative explanations for ADFH's findings that have not been entirely refuted. This leaves the reader with some doubt as to whether all of ADFH's conclusions are fully substantiated. Nevertheless, the evidence presented makes an interesting contribution to our understanding of the forecasting behavior of young, private, rapidly growing, VCbacked firms, and provides some natural economic and methodological leads into further studies of these issues.| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Europe Campus | Available | BC008041 |
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Armstrong, Dávila, Foster, and Hand ("ADFH") use a proprietary venture capital database of revenue and profit projections submitted by young firms seeking financing to attempt to address a number of questions related to forecasts by managers of early stage, venture-backed, private entrepreneurial firms. The proprietary dataset together with the creative use of a "historically-grounded conditional projections" methodology are the most interesting features of ADFH's study. However, these same aspects give rise to empirical design constraints that the study does not fully overcome. In addition, there are numerous leaps of logic required to arrive at some of ADFH's conclusions and there are alternative explanations for ADFH's findings that have not been entirely refuted. This leaves the reader with some doubt as to whether all of ADFH's conclusions are fully substantiated. Nevertheless, the evidence presented makes an interesting contribution to our understanding of the forecasting behavior of young, private, rapidly growing, VCbacked firms, and provides some natural economic and methodological leads into further studies of these issues.
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