Professional vs. amateur judgment accuracy: The case of foreign exchange rates

Organizational Behavior and Human Decision Processes

Volumn 91, Issue 2, 2003, Pages 169-185

  Önkal, Dilek ^a   Yates, J Frank ^b   Simga Mugan, Can ^a   Öztin, Şule ^c  

^a BILKENT UNIVERSITY   (Turkey)

^b UNIVERSITY OF MICHIGAN   (United States)

^c Sümerbank A   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0043206174     PISSN: 07495978     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0749-5978(03)00058-X     Document Type: Article

References (35)

1. Alpert, M., & Raiffa, H. (1982). A progress report on the training of probability assessors. In D. Kahneman, P. Slovic, & A. Tversky (Eds.), Judgment under uncertainty: Heuristics and biases (pp. 294-305). New York: Cambridge University Press.
2. Armstrong, J. S. (2001). Evaluating forecasting methods. In J. S. Armstrong (Ed.), Principles of forecasting: A handbook for researchers and practitioners (pp. 443-472). Boston: Kluwer.
3. Armstrong, J. S., & Collopy, F. (1992). Error measures for generalizing about forecasting methods: Empirical comparisons. International Journal of Forecasting, 8, 69-80.
4. Brier, G. (1950). Verification of forecasts expressed in terms of probability. Monthly Weather Review, 78(1), 1-3.
5. Camerer, C. F., & Johnson, E. J. (1997). The process-performance paradox in expert judgment: How can experts know so much and predict so badly?. In W. M. Goldstein, & R. M. Hogarth (Eds.), Research on judgment and decision making (pp. 342-364). Cambridge: Cambridge University Press.
6. Connolly, T., & Dean, D. (1997). Decomposed versus holistic estimates of effort required for software writing tasks. Management Science, 43, 1029-1045.
7. Dawes, R. M. (1979). The robust beauty of improper linear models in decision making. American Psychologist, 34, 571-582.
8. Enis, C. R. (1995). Expert-novice judgments and new cue sets: Process versus outcome. Journal of Economic Psychology, 16, 641-662.
9. Gigerenzer, G., Hoffrage, U., & Kleinbölting, H. (1991). Probabilistic mental models: A Brunswikian theory of confidence. Psychological Review, 98, 506-528.
10. Kendall, M. G. (1948). Rank correlation methods. London: Griffen.
11. Lai, K. S., & Pauly, P. (1992). Random walk or bandwagon: Some evidence from foreign exchanges in the 1980s. Applied Economics, 24, 693-700.
12. Lee, J.-W., Yates, J. F., Shinotsuka, H., Singh, R., Onglatco, M. L. U., Yen, N.-S., Gupta, M., & Bhatnagar, D. (1995). Cross-national differences in overconfidence. Asian Journal of Psychology, 1, 63-69.
13. Murphy, A. H. (1973). A new vector partition of the probability score. Journal of Applied Meteorology, 12, 595-600.
14. Murphy, A. H., & Brown, B. G. (1984). A comparative evaluation of objective and subjective weather forecasts in the United States. Journal of Forecasting, 3, 369-393.
15. Mussa, M. L. (1979). Empirical regularities in the behavior of exchange rates and theories of the foreign exchange market. In K. Brunner, & A. H. Meltzer (Eds.), Policies for employment, prices, and exchange rates, Carnegie-Rochester Conference Series on Public Policy (vol. 11, pp. 9-57). Amsterdam: North-Holland.
16. Önkal, D., & Muradoglu, G. (1994). Evaluating probabilistic forecasts of stock prices in a developing stock market. European Journal of Operational Research, 74, 350-358.
17. Önkal, D., & Muradoglu, G. (1996). Effects of task format on probabilistic forecasting of stock prices. International Journal of Forecasting, 12, 9-24.
18. Önkal-Atay, D., Thomson, M. E., & Pollock, A. C. (2002). Judgemental forecasting. In M. P. Clements, & D. F. Hendry (Eds.), A companion to economic forecasting (pp. 133-151). Oxford: Blackwell Publishers.
19. Price, P. C. (1998). Effects of a relative-frequency elicitation question on likelihood judgment accuracy: The case of external correspondence. Organizational Behavior and Human Decision Processes, 76, 277-297.
20. Sanders, F. (1963). On subjective probability forecasting. Journal of Applied Meteorology, 2, 191-201.
21. Sarantis, N., & Stewart, C. (1995). Structural, VAR and BVAR models of exchange rate determination: A comparison of their forecasting performance. Journal of Forecasting, 14, 201-215.
22. Sheskin, D. J. (2000). Handbook of parametric and nonparametric statistical procedures (2nd ed.). Boca Raton, FL: Chapman and Hall/CRC.
23. Spence, M. T., & Brucks, M. (1997). The moderating effects of problem characteristics on experts' and novices' judgments. Journal of Marketing Research, 34, 233-247.
24. Staël von Holstein, C.-A. S. (1972). Probabilistic forecasting: An experiment related to the stock market. Organizational Behavior and Human Performance, 8, 139-158.
25. Windschitl, P. D. (2000). The binary additivity of subjective probability does not indicate the binary complementarity of perceived certainty. Organizational Behavior and Human Decision Processes, 81, 195-225.
26. Yaniv, I., & Foster, D. P. (1995). Graininess of judgment under uncertainty: An accuracy-informativeness trade-off. Journal of Experimental Psychology: General, 124, 424-432.
27. Yaniv, I., & Foster, D. P. (1997). Precision and accuracy of judgmental estimation. Journal of Behavioral Decision Making, 10, 21-32.
28. Yaniv, I., Yates, J. F., & Smith, J. E. K. (1991). Measures of discrimination skill in probabilistic judgment. Psychological Bulletin, 110, 611-617.
29. Yates, J. F. (1982). External correspondence: Decompositions of the mean probability score. Organizational Behavior and Human Performance, 30, 132-156.
30. Yates, J. F. (1990). Judgment and decision making. Englewood Cliffs, NJ: Prentice-Hall.
31. Yates, J. F. (1994). Subjective probability accuracy analysis. In G. Wright, & P. Ayton (Eds.), Subjective probability (pp. 381-410). Chichester, England: Wiley.
32. Yates, J. F. (1998). Conceptualizing, explaining, and improving accuracy: Process models of probability judgment. Cognitive Studies, 5(4), 49-64.
33. Yates, J. F., & Curley, S. P. (1985). Conditional distribution analyses of probabilistic forecasts. Journal of Forecasting, 4, 61-73.
34. Yates, J. F., McDaniel, L. S., & Brown, E. S. (1991). Probabilistic forecasts of stock prices and earnings: The hazards of nascent expertise. Organizational Behavior and Human Decision Processes, 49, 60-79.
35. Yates, J. F., Price, P. C., Lee, J.-W., & Ramirez, J. (1996). Good probabilistic forecasters: The "consumer's" perspective. International Journal of Forecasting, 12, 41-56.