Probability Forecasts Made at Multiple Lead Times
Published Online:8 Jun 2017https://doi.org/10.1287/mnsc.2016.2720
References
- (2007) The ECB Survey of Professional Forecasters (SPF): A review after eight years’ experience. European Central Bank Occasional Paper 59, European Central Bank, Frankfurt am Main,Germany.Google Scholar
- (1950) Verification of forecasts expressed in terms of probability. Monthly Weather Rev. 78(1):1–3.Crossref, Google Scholar
- (2007) Misinterpretations of the “cone of uncertainty” in Florida during the 2004 hurricane season. Bull. Amer. Meteorological Soc. 88(5):651–667.Crossref, Google Scholar
- (2012) Probability forecasts. Jolliffe IT, Stephenson DB, eds. Forecast Verification: A Practitioner’s Guide in Atmospheric Science, 2nd ed. (John Wiley & Sons, Chichester, UK), 119–139.Crossref, Google Scholar
- (2007) Scoring probabilistic forecasts: The importance of being proper. Weather Forecasting 22(2):382–388.Crossref, Google Scholar
- (2011) Small sample properties of alternative tests for martingale difference hypothesis. Econom. Lett. 110(2):151–154.Crossref, Google Scholar
- (1997) Evaluating the rationality of fixed-event forecasts. J. Forecasting 16(4):225–239.Crossref, Google Scholar
- (2004) Evaluating the Bank of England density forecasts of inflation. Econom. J. 114(498):844–866.Google Scholar
- (1993) Introducing: The survey of professional forecasters. Bus. Rev. (November/December):3–15.Google Scholar
- (2009) A new method for estimating tropical cyclone wind speed probabilities. Weather Forecasting 24(6):1573–1591.Crossref, Google Scholar
- (2009) Testing the martingale hypothesis. Mills TC, Patterson K, eds. Palgrave Handbook of Econometrics, Vol. 2 (Palgrave Macmillan, Basingstoke, UK), 972–1003.Crossref, Google Scholar
- (1970) Efficient capital markets: A review of theory and empirical work. J. Finance 25(2):383–417.Crossref, Google Scholar
- (2007) Strictly proper scoring rules, prediction, and estimation. J. Amer. Statist. Assoc. 102(477):359–378.Crossref, Google Scholar
- (2000) Economic and statistical measures of forecast accuracy. J. Forecasting 19(7):537–560.Crossref, Google Scholar
- (1995) Why are judgments less consistent in less predictable task situations? Organ. Behav. Human Decision Processes 63(3):247–263.Crossref, Google Scholar
- (2011) Tailored scoring rules for probabilities. Decision Anal. 8(4):256–268.Link, Google Scholar
- (2008) Scoring rules, generalized entropy, and utility maximization. Oper. Res. 56(5):1146–1157.Link, Google Scholar
- (2009) Sensitivity to distance and baseline distributions in forecast evaluation. Management Sci. 55(4):582–590.Link, Google Scholar
- (2014) What the forecasters got right, and wrong. New York Times (November 5), https://www.nytimes.com/2014/11/06/upshot/what-the-forecasts-got-right-and-wrong.html.Google Scholar
- (2015) A closer look at return predictability of the US stock market: Evidence from new panel variance ratio tests. Quant. Finance 15(9):1501–1514.Crossref, Google Scholar
- (2007) Probability elicitation, scoring rules, and competition among forecasters. Management Sci. 53(11):1745–1755.Link, Google Scholar
- (2011) The evolution of stock market efficiency over time: A survey of the empirical literature. J. Econom. Surveys 25(1):69–108.Crossref, Google Scholar
- (2013) Dynamic Bayesian forecasting of presidential elections in the states. J. Amer. Statist. Assoc. 108(501):124–134.Crossref, Google Scholar
- (1989) The size and power of the variance ratio test in finite samples: A Monte Carlo investigation. J. Econometrics 40(2):203–238.Crossref, Google Scholar
- (2014) Psychological strategies for winning a geopolitical forecasting tournament. Psych. Sci. 25(5):1106–1115.Crossref, Google Scholar
- (1987) On the relationship between the accuracy and value of forecasts in the cost-loss ratio situation. Weather Forecasting 2(3):243–251.Crossref, Google Scholar
- (1987) Forecasting efficiency: Concepts and applications. Rev. Econom. Statist. 69(4):667–674.Crossref, Google Scholar
- (2006) A dynamic decision model applied to hurricane landfall. Weather Forecasting 21(5):764–780.Crossref, Google Scholar
- (2009) A Bayesian prediction model for the US presidential election. Amer. Politics Res. 37(4):700–724.Crossref, Google Scholar
- (1965) Proof that properly anticipated prices fluctuate randomly. Indust. Management Rev. 6(2):41–49.Google Scholar
- (1971) Elicitation of personal probabilities and expectations. J. Amer. Statist. Assoc. 66(336):783–801.Crossref, Google Scholar
- (1993) On testing the validity of sequential probability forecasts. J. Amer. Statist. Assoc. 88(421):355–359.Crossref, Google Scholar
- (1998) Axiomatic characterization of the quadratic scoring rule. Experiment. Econom. 1(1):43–62.Crossref, Google Scholar
- (2013) How psychological framing affects economic market prices in the lab and field. Proc. Natl. Acad. Sci. USA 110(29):11779–11784.Crossref, Google Scholar
- (2015) Superforecasting: The Art and Science of Prediction (Crown Publishers, New York).Google Scholar
- (2003) Probability and ensemble forecasts. Jolliffe IT, Stephenson DB, eds. Forecast Verification: A Practitioner’s Guide in Atmospheric Science (John Wiley & Sons, Chichester, UK), 137–163.Google Scholar
- (2015) Origins of presidential poll aggregation: A perspective from 2004 to 2012. Internat. J. Forecasting 31(3):898–909.Crossref, Google Scholar
- (2013) Mr. Bayes goes to Washington. Science 339(6121):758–759.Crossref, Google Scholar
- (2015) Forecasting elections with non-representative polls. Internat. J. Forecasting 31(3):980–991.Crossref, Google Scholar
- (2011) Statistical Methods in the Atmospheric Sciences, 3rd ed. (Academic Press, Oxford, UK).Google Scholar
- (1994) Evaluating probabilities: Asymmetric scoring rules. Management Sci. 40(11):1395–1405.Link, Google Scholar
- (1970) Nonlinear utility and the probability score. J. Appl. Meteorology 9(1):143–148.Crossref, Google Scholar
- (2004) Prediction markets. J. Econom. Perspect. 18(2):107–126.Crossref, Google Scholar
- (2014) The real problem with Nate Silver’s model is the hazy metaphysics of probability. Vox (October 11), http://www.vox.com/2014/10/11/6949965/nate-silver-sam-wang-election-models.Google Scholar

