Forecasting and uncertainty in the economic and business world

Forecasts are crucial for practically all economic and business decisions. However, there is a mounting body of empirical evidence showing that accurate forecasting in the economic and business world is usually not possible. In addition, there is huge uncertainty, as practically all economic and business activities are subject to events we are unable to predict. The fact that forecasts can be inaccurate creates a serious dilemma for decision and policy makers. On the one hand, accepting the limits of forecasting accuracy implies being unable to assess the correctness of decisions and the surrounding uncertainty. On the other hand, believing that accurate forecasts are possible means succumbing to the illusion of control and experiencing surprises, often with negative consequences. We believe that the time has come for a new attitude towards dealing with the future. In this article, we discuss the limited predictability in the economic and business environment. We also provide a framework that allows decision and policy makers to face the future -- despite the inherent limitations of forecasting and the uncertainty, sometimes huge, surrounding most future-oriented decisions.

[1]  Eric J. Johnson,et al.  Framing, probability distortions, and insurance decisions , 1993 .

[2]  D. Kahneman,et al.  Timid choices and bold forecasts: a cognitive perspective on risk taking , 1993 .

[3]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[4]  Marton Marosszeky,et al.  Constructing the Olympic Dream: A Future Perfect Strategy of Project Management , 2003, Organ. Sci..

[5]  B. Fischhoff,et al.  Hindsight is not equal to foresight: The effect of outcome knowledge on judgment under uncertainty. , 1975 .

[6]  G. Hamel Leading the Revolution , 2000 .

[7]  N. Taleb Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets , 2001 .

[8]  Nassim Nicholas Taleb,et al.  The Black Swan: The Impact of the Highly Improbable , 2007 .

[9]  Anders Winman,et al.  The naïve intuitive statistician: a naïve sampling model of intuitive confidence intervals. , 2007, Psychological review.

[10]  Kevin A. Hassett,et al.  Dow 36,000: The New Strategy for Profiting From the Coming Rise in the Stock Market , 1999 .

[11]  R. Batra The Great Depression of 1990 , 1985 .

[12]  Mark Buchanan Ubiquity: The Science of History . . . or Why the World Is Simpler Than We Think , 2000 .

[13]  Spyros Makridakis,et al.  Dance with Chance: Making Luck Work for You , 2009 .

[14]  B. Fischhoff,et al.  Hindsight ≠ foresight: the effect of outcome knowledge on judgment under uncertainty* , 2003 .

[15]  Spyros Makridakis,et al.  The M3-Competition: results, conclusions and implications , 2000 .

[16]  Nicholas Dunbar Inventing Money: The Story of Long-Term Capital Management and the Legends Behind It , 1999 .

[17]  Spyros Makridakis,et al.  Forecasting, planning, and strategy for the 21st century , 1990 .

[18]  Robert L. Winkler,et al.  The accuracy of extrapolation (time series) methods: Results of a forecasting competition , 1982 .

[19]  Michèle Hibon,et al.  Accuracy of Forecasting: An Empirical Investigation , 1979 .

[20]  Patrick E. McSharry,et al.  System economics: Overcoming the pitfalls of forecasting models via a multidisciplinary approach , 2009 .

[21]  John Battelle The Search: How Google and Its Rivals Rewrote the Rules of Business and Transformed Our Culture , 2005 .

[22]  Spyros Makridakis,et al.  Forecasting and Planning: An Evaluation , 1981 .

[23]  I. Welch,et al.  On the Evolution of Overconfidence and Entrepreneurs , 2001 .