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Testing the value of directional forecasts in the presence of serial correlation

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  • Blaskowitz, Oliver
  • Herwartz, Helmut

Abstract

Common approaches to testing the economic value of directional forecasts are based on the classical χ2-test for independence, Fisher’s exact test or the Pesaran and Timmermann test for market timing. These tests are asymptotically valid for serially independent observations, but in the presence of serial correlation they are markedly oversized, as has been confirmed in a simulation study. We therefore summarize robust test procedures for serial correlation and propose a bootstrap approach, the relative merits of which we illustrate by means of a Monte Carlo study. Our evaluations of directional predictions of stock returns and changes in Euribor rates demonstrate the importance of accounting for serial correlation in economic time series when making such predictions.

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Bibliographic Info

Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 30 (2014)
Issue (Month): 1 ()
Pages: 30-42

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Handle: RePEc:eee:intfor:v:30:y:2014:i:1:p:30-42

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Web page: http://www.elsevier.com/locate/ijforecast

Related research

Keywords: Directional accuracy; Forecast evaluation; Testing independence; Contingency tables; Bootstrap; Equity returns predictions; Euribor rate predictions;

References

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  1. Whitney K. Newey & Kenneth D. West, 1986. "A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix," NBER Technical Working Papers 0055, National Bureau of Economic Research, Inc.
  2. Swanson, Norman R. & White, Halbert, 1997. "Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models," International Journal of Forecasting, Elsevier, Elsevier, vol. 13(4), pages 439-461, December.
  3. Jing Yang & Nikola Gradojevic, 2006. "Non-linear, non-parametric, non-fundamental exchange rate forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(4), pages 227-245.
  4. Diebold, Francis X. & Li, Canlin, 2006. "Forecasting the term structure of government bond yields," Journal of Econometrics, Elsevier, vol. 130(2), pages 337-364, February.
  5. Hall, Peter & Horowitz, Joel L, 1996. "Bootstrap Critical Values for Tests Based on Generalized-Method-of-Moments Estimators," Econometrica, Econometric Society, Econometric Society, vol. 64(4), pages 891-916, July.
  6. Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
  7. Raffaella Giacomini & Halbert White, 2003. "Tests of Conditional Predictive Ability," Econometrics, EconWPA 0308001, EconWPA.
  8. Pesaran, M.H. & Timmermann, A., 1990. "A Simple Non-Parametric Test Of Predictive Performance," Papers, California Los Angeles - Applied Econometrics 29, California Los Angeles - Applied Econometrics.
  9. Öller, Lars-Erik & Barot, Bharat, 2000. "The Accuracy of European Growth and Inflation Forecasts," Working Paper, National Institute of Economic Research 72, National Institute of Economic Research.
  10. Oliver Blaskowitz & Helmut Herwartz, 2009. "Adaptive forecasting of the EURIBOR swap term structure," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(7), pages 575-594.
  11. Cumby, Robert E. & Modest, David M., 1987. "Testing for market timing ability : A framework for forecast evaluation," Journal of Financial Economics, Elsevier, Elsevier, vol. 19(1), pages 169-189, September.
  12. Cicarelli, James, 1982. "A new method of evaluating the accuracy of economic forecasts," Journal of Macroeconomics, Elsevier, Elsevier, vol. 4(4), pages 469-475.
  13. Chou, Cheng & Chu, Chia-Shang J., 2011. "Market timing: Recent development and a new test," Economics Letters, Elsevier, vol. 111(2), pages 105-109, May.
  14. repec:att:wimass:9220 is not listed on IDEAS
  15. Norman R. Swanson & Halbert White, 1995. "A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks," Macroeconomics, EconWPA 9503004, EconWPA.
  16. Donald W. K. Andrews, 2002. "Higher-Order Improvements of a Computationally Attractive "k"-Step Bootstrap for Extremum Estimators," Econometrica, Econometric Society, Econometric Society, vol. 70(1), pages 119-162, January.
  17. Breen, William & Glosten, Lawrence R & Jagannathan, Ravi, 1989. " Economic Significance of Predictable Variations in Stock Index Returns," Journal of Finance, American Finance Association, vol. 44(5), pages 1177-89, December.
  18. Radulovic, Dragan, 1996. "The bootstrap of the mean for strong mixing sequences under minimal conditions," Statistics & Probability Letters, Elsevier, vol. 28(1), pages 65-72, June.
  19. Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," The Journal of Business, University of Chicago Press, vol. 54(4), pages 513-33, October.
  20. Lahiri, Soumendra Nath, 1996. "On Edgeworth Expansion and Moving Block Bootstrap for StudentizedM-Estimators in Multiple Linear Regression Models," Journal of Multivariate Analysis, Elsevier, vol. 56(1), pages 42-59, January.
  21. Kenneth D. West & Whitney K. Newey, 1995. "Automatic Lag Selection in Covariance Matrix Estimation," NBER Technical Working Papers 0144, National Bureau of Economic Research, Inc.
  22. Lai, Kon S., 1990. "An evaluation of survey exchange rate forecasts," Economics Letters, Elsevier, vol. 32(1), pages 61-65, January.
  23. Pesaran, M.H. & Timmermann, A., 2006. "Testing Dependence Among Serially Correlated Multi-category Variables," Cambridge Working Papers in Economics 0648, Faculty of Economics, University of Cambridge.
  24. Mark Greer, 2005. "Combination forecasting for directional accuracy: An application to survey interest rate forecasts," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(6), pages 607-615.
  25. Inoue, Atsushi & Shintani, Mototsugu, 2006. "Bootstrapping GMM estimators for time series," Journal of Econometrics, Elsevier, vol. 133(2), pages 531-555, August.
  26. Masahiro Ashiya, 2003. "The directional accuracy of 15-months-ahead forecasts made by the IMF," Applied Economics Letters, Taylor & Francis Journals, vol. 10(6), pages 331-333.
  27. Havenner, Arthur & Modjtahedi, Bagher, 1988. "Foreign exchange rates : A multiple currency and maturity analysis," Journal of Econometrics, Elsevier, vol. 37(2), pages 251-264, February.
  28. Chu, Chia-Shang & Lu, Liping & Shi, Zhentao, 2009. "Pitfalls in market timing test," Economics Letters, Elsevier, vol. 103(3), pages 123-126, June.
  29. Easaw, Joshy Z. & Garratt, Dean & Heravi, Saeed M., 2005. "Does consumer sentiment accurately forecast UK household consumption? Are there any comparisons to be made with the US?," Journal of Macroeconomics, Elsevier, Elsevier, vol. 27(3), pages 517-532, September.
  30. Mills, Terence C. & Pepper, Gordon T., 1999. "Assessing the forecasters: an analysis of the forecasting records of the Treasury, the London Business School and the National Institute," International Journal of Forecasting, Elsevier, Elsevier, vol. 15(3), pages 247-257, July.
  31. Jordi Pons, 2001. "The rationality of price forecasts: a directional analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 11(3), pages 287-290.
  32. Swanson, Norman R & White, Halbert, 1995. "A Model-Selection Approach to Assessing the Information in the Term Structure Using Linear Models and Artificial Neural Networks," Journal of Business & Economic Statistics, American Statistical Association, American Statistical Association, vol. 13(3), pages 265-75, July.
  33. Schnader, M H & Stekler, H O, 1990. "Evaluating Predictions of Change," The Journal of Business, University of Chicago Press, vol. 63(1), pages 99-107, January.
  34. Merton, Robert C, 1981. "On Market Timing and Investment Performance. I. An Equilibrium Theory of Value for Market Forecasts," The Journal of Business, University of Chicago Press, vol. 54(3), pages 363-406, July.
  35. Dimitris Politis & Halbert White, 2004. "Automatic Block-Length Selection for the Dependent Bootstrap," Econometric Reviews, Taylor & Francis Journals, Taylor & Francis Journals, vol. 23(1), pages 53-70.
  36. Masahiro Ashiya, 2006. "Are 16-month-ahead forecasts useful? A directional analysis of Japanese GDP forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(3), pages 201-207.
  37. Ash, J. C. K. & Smyth, D. J. & Heravi, S. M., 1998. "Are OECD forecasts rational and useful?: a directional analysis," International Journal of Forecasting, Elsevier, Elsevier, vol. 14(3), pages 381-391, September.
  38. Lahiri, Soumendra Nath, 1991. "Second order optimality of stationary bootstrap," Statistics & Probability Letters, Elsevier, vol. 11(4), pages 335-341, April.
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