The forecasting journals and their contribution to forecasting research: Citation analysis and expert opinion

International Journal of Forecasting

Volumn 22, Issue 3, 2006, Pages 415-432

  Fildes, Robert ^a  

^a LANCASTER UNIVERSITY MANAGEMENT SCHOOL   (United Kingdom)

Author keywords

Citation analysis; Diffusion of research; Expert opinion; Forecasting practice; Multiple hypotheses

Indexed keywords

EID: 33745962408     PISSN: 01692070     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijforecast.2006.03.002     Document Type: Article

References (108)

1. Andersen T.G., Bollerslev T., Diebold F.X., and Labys P. Modeling and forecasting realized volatility. Econometrica 71 2 (2003) 579-625
2. Armstrong J.S. Long-range forecasting: From crystal ball to computer (1978, 1985), Wiley, New York
3. Armstrong J.S. Research needs in forecasting. International Journal of Forecasting 4 (1988) 449-465
4. Armstrong J.S. Principles of forecasting (2001), Kluwer, Norwell, MA
5. Armstrong J.S. Findings from evidence-based forecasting: Methods for reducing forecast error. International Journal of Forecasting 22 (2006)
6. Armstrong J.S., Brodie R.J., and Parsons A.G. Hypotheses in marketing science: Literature review and publication audit. Marketing Letters 12 (2001) 171-187
7. Armstrong J.S., and Collopy F. Error measures for generalizing about forecasting methods-empirical comparisons. International Journal of Forecasting 8 1 (1992) 69-80
8. Armstrong J.S., and Fildes R. Making progress in forecasting. International Journal of Forecasting 22 (2006) 433-441 10.1016/j.ijforecast.2006.04.007 (this issue)
9. Armstrong J.S., and Lusk E.J. The accuracy of alternative extrapolation models-analysis of a forecasting competition through open peer-review. Journal of Forecasting 2 3 (1983) 259-311
10. Baillie R.T., and Selover D.D. Cointegration and models of exchange-rate determination. International Journal of Forecasting 3 1 (1987) 43-51
11. Barnett T.P., and Preisendorfer R. Origins and levels of monthly and seasonal forecast skill for United States surface air temperatures determined by canonical correlation-analysis. Monthly Weather Review 115 9 (1987) 1825-1850
12. Barnston A.G., van den Dool H.M., Rodenhuis D.R., Ropelewski C.R., Kousky V.E., O'Lenic E.A., et al. Long-lead seasonal forecasts-where do we stand?. Bulletin of the American Meteorological Society 75 11 (1994) 2097-2114
13. Bartov E., Givoly D., and Hayn C. The rewards to meeting or beating earnings expectations. Journal of Accounting and Economics 33 2 (2002) 173-204
14. Beythmarom R. How probable is probable-a numerical translation of verbal probability-expressions. Journal of Forecasting 1 3 (1982) 257-269
15. Bollerslev T. Generalised autoregressive conditional heteroskedasticity. Journal of Econometrics 31 (1986) 307-327
16. Box, G. E. P., Jenkins, G.M. (1976, 1994) Time series analysis, forecasting and control, San Francisco: Holden Day, now Englewood Cliffs, N.J: Prentice Hall.
17. Brown L.D. A temporal analysis of earnings surprises: Profits versus losses. Journal of Accounting Research 39 2 (2001) 221-241
18. Carlin B.P., Polson N.G., and Stoffer D.S. A Monte-Carlo approach to nonnormal and nonlinear state-space modelling. Journal of American Statistical Association 87 418 (1992) 493-500
19. Chatfield C. Model uncertainty, data mining and statistical inference. Journal of the Royal Statistical Society, Series A 158 (1995) 419-466
20. Chen F., Drezner Z., Ryan J.K., and Simchi-Levi D. Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information. Management Science 46 3 (2000) 436-443
21. Clemen R.T. Combining forecasts-a review and annotated-bibliography. International Journal of Forecasting 5 4 (1989) 559-583
22. Clements M.P., and Hendry D.F. On the limitations of comparing mean-square forecast errors. Journal of Forecasting 12 8 (1993) 669-676
23. Clements M.P., and Hendry D.F. Forecasting economic time series (1998), Cambridge University Press, Cambridge, UK
24. Dalrymple D.J. Sales forecasting practices-Results from a United States survey. International Journal of Forecasting 3 (1987) 379-391
25. Dejonckheere J., Disney S.M., Lambrecht M.R., and Towill D.R. Measuring and avoiding the bullwhip effect: A control theoretic approach. European Journal of Operational Research 147 3 (2003) 567-590
26. Diebold F.X., and Mariano R.S. Comparing predictive accuracy. Journal of Business and Economic Statistics 13 3 (1995) 253-263
27. Duffee G.R. Term premia and interest rate forecasts in affine models. Journal of Finance 57 1 (2002) 405-443
28. Engle R. Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation. Econometrica 50 (1982) 987-1007
29. Engle R., and Granger C.W.J. Cointegration and error correction: Representation, estimation and testing. Econometrica 55 (1987) 251-276
30. Engle R.F., and Yoo B.S. Forecasting and testing in co-integrated systems. Journal of Econometrics 35 1 (1987) 143-159
31. Evensen G. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte-Carlo methods to forecast error statistics. Journal of Geophysical Research, [Oceans] 99 C5 (1994) 10143-10162
32. Fama E.F., and French K.R. Commodity futures prices-some evidence on forecast power, premiums, and the theory of storage. Journal of Business 60 1 (1987) 55-73
33. Fernandez C., Ley E., and Steel M.F.J. Benchmark priors for Bayesian model averaging. Journal of Econometrics 100 2 (2001) 381-427
34. Fildes R. The evaluation of extrapolative forecasting methods. International Journal of Forecasting 8 1 (1992) 81-98
35. Fildes R. Telecommunications demand-a review. International Journal of Forecasting 18 (2002) 489-522
36. Fildes R., and Makridakis S. The impact of empirical accuracy studies on time series analysis and forecasting. International Statistical Review 63 (1995) 289-308
37. Fildes R., and Nikolopoulos K. An interview with Spyros Makridakis. International Journal of Forecasting 22 (2006) 10.1016/j.ijforecast.2006.04.008
38. Fildes R., with Dews D., and Howell S. A bibliography of business and economic forecasting (1981), Teakfield, Farnborough, UK
39. Fischhoff B., and Macgregor D. Subjective confidence in forecasts. Journal of Forecasting 1 2 (1982) 155-172
40. Folland C., Owen J., Ward M.N., and Colman A. Prediction of seasonal rainfall in the Sahel region using empirical and dynamic methods. Journal of Forecasting 10 1-2 (1991) 21-56
41. Forrester J. Industrial dynamics (1961), Productivity Press, Cambridge, MA
42. Gardner E.S. Exponential smoothing-the state of the art. Journal of Forecasting 4 1 (1985) 1-28
43. Glosten L.R., Jagannathan R., and Runkle D.E. On the relation between the expected value and the volatility of the nominal excess return on stocks. Journal of Finance 48 5 (1993) 1779-1801
44. Granger C.W.J. Comments on the M3 forecast evaluation and a comparison with a study by Stock and Watson. International Journal of Forecasting 17 (2001) 565-567
45. Granger C.W.J., and Newbold P. Forecasting economic time series. 2nd edn. (1986), Academic Press, New York
46. Granger C.W.J., and Ramanathan R. Improved methods of combining forecasts. Journal of Forecasting 3 2 (1984) 197-204
47. Granger C.W.J., and Teräsvirta T. Modelling nonlinear economic relationships (1993), Oxford University Press, New York
48. Hansen J., Fung I., Lacis A., Rind D., Lebedeff S., Ruedy R., et al. Global climate changes as forecast by Goddard Institute for Space Studies 3-Dimensional Model. Journal of Geophysical Research, [Atmospheres] 93 D8 (1988) 9341-9364
49. Hansen M.H., and Yu B. Model selection and the principle of minimum description length. Journal of the American Statistical Association 96 454 (2001) 746-774
50. Harvey A.C. A unified view of statistical forecasting procedures. Journal of Forecasting 3 3 (1984) 245-275
51. Harvey A.C. Forecasting structural time series models and the Kalman filter (1989), Cambridge University Press, Cambridge
52. Henriksson R.D., and Merton R.C. On market timing and investment performance: 2. Statistical procedures for evaluating forecasting skills. Journal of Business 54 4 (1981) 513-533
53. Hippert H.S. Neural networks for short-term load forecasting: A review and evaluation. IEEE Transactions on Power Systems 16 1 (2001) 44-55
54. Hogan T.F., and Rosmond T.E. The description of the navy operational global atmospheric prediction systems spectral forecast model. Monthly Weather Review 119 8 (1991) 1786-1815
55. Hogarth R.M., and Makridakis S. Forecasting and planning: An evaluation. Management Science 27 2 (1981) 115-138
56. Hong H., and Kubik J.D. Analyzing the analysts: Career concerns and biased earnings forecasts. Journal of Finance 58 1 (2003) 313-351
57. Hyndman R. Commentaries on the M3-competition. It's time to move from 'what' to 'why'. International Journal of Forecasting 16 (2001) 567-570
58. Jacquier E., Polson N.G., and Rossi P.E. Bayesian analysis of stochastic volatility models. Journal of Business and Economic Statistics 12 4 (1994) 371-389
59. Johansen S. Statistical analysis of cointegrating vectors. Journal of Economic Dynamics & Control 12 (1988) 231-254
60. Kahneman D., and Lovallo D. Timid choices and bold forecasts-a cognitive perspective on risk-taking. Management Science 39 1 (1993) 17-31
61. In: Kahneman D., Slovic P., and Tversky A. (Eds). Judgment under uncertainty: Heuristics and biases (1982), Cambridge University Press, Cambridge
62. In: Lahiri K., and Moore G. (Eds). Leading economic indicators (1991), Cambridge University Press, Cambridge
63. Lawrence M.J., Edmundson R.H., and O'Connor M.J. An examination of the accuracy of judgmental extrapolation of time series. International Journal of Forecasting 1 (1985) 25-35
64. Lettau M., and Ludvigson S. Consumption, aggregate wealth, and expected stock returns. Journal of Finance 56 3 (2001) 815-849
65. Litterman R.B. Forecasting with Bayesian vector autoregressions-5 years of experience. Journal of Business & Economic Review 4 1 (1986) 25-38
66. Mahmoud E. Accuracy in forecasting-a survey. Journal of Forecasting 3 2 (1984) 139-159
67. Makridakis S., and Wheelwright S. Forecasting: Methods and applications (1978), John Wiley & Sons, New York
68. Makridakis S., Andersen A., Carbone R., Fildes R., Hibon M., Lewandowski R., et al. The accuracy of extrapolation (time series methods): Results of a forecasting competition. Journal of Forecasting 1 2 (1982) 111-153
69. Makridakis S., Armstrong J.S., Carbone R., and Fildes R. An editorial statement. Journal of Forecasting 1 1 (1982) 1-2
70. Makridakis S., and Hibon M. The M3-competition: Results, conclusions and implications. International Journal of Forecasting 16 4 (2000) 451-476
71. Makridakis S., Wheelwright S., and McGee V. Forecasting: Methods and applications. 2nd ed. (1983), John Wiley & Sons, New York
72. Makridakis S., Wheelwright S., and Hyndman R.J. Forecasting: Methods and applications. 3rd ed. (1998), John Wiley & Sons, New York
73. Makridakis S., and Winkler R.L. Averages of forecasts-some empirical results. Management Science 29 9 (1983) 987-996
74. Meese R., and Rogoff K. Empirical exchange rate models of the seventies: Do they fit out of sample?. Journal of International Economics 14 (1983) 3-24
75. Mentzer J.T., and Cox J.E. Familiarity, application, and performance of sales forecasting techniques. Journal of Forecasting 3 1 (1984) 27-36
76. Michaelsen J. Cross-validation in statistical climate forecast models. Journal of Climate and Applied Meteorology 26 11 (1987) 1589-1600
77. Morcrette J.J. Radiation and cloud radiative properties in the European Center for Medium Range Weather Forecasts forecasting system. Journal of Geophysical Research, [Atmospheres] 96 D5 (1991) 9121-9132
78. Murphy A.H., and Winkler R.L. A general framework for forecast verification. Monthly Weather Review 115 7 (1987) 1330-1338
79. Nelson C.R., and Plosser C.I. Trends and random-walks in macroeconomic time-series-some evidence and implications. Journal of Monetary Economics 10 2 (1982) 139-162
80. Nishenko S.P., and Buland R. A generic recurrence interval distribution for earthquake forecasting. Bulletin of the Seismological Society of America 77 4 (1987) 1382-1399
81. Nogales F.J., Contreras J., Conejo A.J., and Espinola R. Forecasting next-day electricity prices by time series models. IEEE Transactions on Power Systems 17 2 (2002) 342-348
82. Oh S., and Pedrycz W. Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems. Fuzzy Sets and Systems 115 2 (2000) 205-230
83. Ohlson J.A. Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research 18 1 (1980) 109-131
84. Palepu K.G. Predicting takeover targets-a methodological and empirical analysis. Journal of Accounting and Economics 8 1 (1986) 3-35
85. Palmer T.N., and Anderson D.L.T. The prospects for seasonal forecasting-a review paper. Quarterly Journal of the Royal Meteorological Society 120 518 (1994) 755-793
86. Park D.C., El-Sharkawi M.A., Marks R.J., Atlas L.E., and Damborg M.J. Electric-load forecasting using an artificial neural network. IEEE Transactions on Power Systems 6 (1991) 442-449
87. Riesman A., and Kirschnik F. The devolution of OR/MS: Implications from a statistical content analysis of papers in flagship journals. Operations Research 42 (1994) 577-588
88. Riesman A., and Kirschnik F. Research strategies used by OR/MS workers as shown by an analysis of papers in flagship journals. Operations Research 43 (1995) 731-740
89. Rogers E.M. Diffusion of innovations (1995), The Free Press, New York
90. Sims C.A. Macroeconomics and reality. Econometrica 48 1 (1980) 1-48
91. Stock J., and Watson M.W. Business cycles, indicators, and forecasting (1993), University of Chicago Press, Chicago
92. Stock J.H., and Watson M.W. Macroeconomic forecasting using diffusion indexes. Journal of Business and Economic Statistics 20 2 (2002) 147-162
93. Sugeno M., and Tanaka K. Successive identification of a fuzzy model and its applications to prediction of a complex system. Fuzzy Sets and Systems 42 3, (1991) 315-334
94. Sugihara G., and May R.M. Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature 344 (1990) 734-741
95. Svensson L.E.O. Inflation forecast targeting: Implementing and monitoring inflation targets. European Economic Review 41 6 (1997) 1111-1146
96. Tam K.Y., and Kiang M.Y. Managerial applications of neural networks-the case of bank failure predictions. Management Science 38 7 (1992) 926-947
97. Tanguay M., Robert A., and Laprise R. A semi-implicit semi-Lagrangian fully compressible regional forecast model. Monthly Weather Review 118 10 (1990) 1970-1980
98. Tiao G.C., and Tsay R.S. Some advances in nonlinear and adaptive modeling in time-series. Journal of Forecasting 13 2 (1994) 109-131
99. Tilman D., Fargione J., Wolff B., D'Antonio C., Dobson A., Howarth R., et al. Forecasting agriculturally driven global environmental change. Science 292 5515 (2001) 281-284
100. Toth Z., and Kalnay E. Ensemble forecasting at NCEP and the breeding method. Monthly Weather Review 125 12 (1997) 3297-3319
101. Tsay R.S. Outliers, level shifts, and variance changes in time-series. Journal of Forecasting 7 1 (1988) 1-20
102. Weiner J.P. Forecasting the effects of health reform on US physician workforce requirement-evidence from HMO staffing patterns. JAMA-Journal of the American Medical Association 272 3 (1994) 222-230
103. Weinstein M.C., Coxson P.G., Williams L.W., Pass T.M., Stason W.B., and Goldman L. Forecasting coronary heart-disease incidence, mortality, and cost-the coronary heart-disease policy model. American Journal of Public Health 77 11 (1987) 1417-1426
104. West M., Harrison P.J., and Migon H.S. Dynamic generalized linear-models and Bayesian forecasting. Journal of the American Statistical Association 80 389 (1985) 73-83
105. White H. A reality check for data snooping. Econometrica 68 5 (2000) 1097-1126
106. Zellner A. Bayesian-estimation and prediction using asymmetric loss functions. Journal of the American Statistical Association 81 394 (1986) 446-451
107. Zellner A., and Hong C. Forecasting international growth rates using Bayesian shrinkage and other procedures. Journal of Econometrics 40 (1989) 183-200
108. Zhang G.Q., Patuwo B.E., and Hu M.Y. Forecasting with artificial neural networks: The state of the art. International Journal of Forecasting 4 (1998) 35-62