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Asymptotic Inference about Predictive Ability, An Additional Appendix

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  • Kenneth D. West

    (University of Wisconsin)

Abstract

smooth functions of out of sample predictions and prediction errors, when there is a long time series of predictions and realizations, and each prediction is based on regression parameters estimated from a long time series. The aim is to provide tools for inference about predictive accuracy and efficiency, and, more generally, about predictive ability. The paper allows for nonlinear models and estimators, as well as for possible dependence of predictions and prediction errors on estimated regression parameters. Simulations indicate that the procedures work well. This additional appendix contains material omitted from the body of the paper to save space; additional simulation results, proofs, and additional references.

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Bibliographic Info

Paper provided by EconWPA in its series Macroeconomics with number 9410003.

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Date of creation: 24 Oct 1994
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Handle: RePEc:wpa:wuwpma:9410003

Note: This is an appendix to SSRI Working Paper 9417, Asymptotic Inference about Predictive Ability
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Web page: http://128.118.178.162

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Cited by:
  1. Barbara Rossi & Atsushi Inoue, 2012. "Out-of-Sample Forecast Tests Robust to the Choice of Window Size," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 432-453, April.
  2. Lin, Wen-Ling, 1995. "Market closure and predictability of intradaily stock returns in the United States and Japan," Journal of Empirical Finance, Elsevier, vol. 2(1), pages 19-44, March.
  3. Chinn, Menzie D. & Meese, Richard A., 1995. "Banking on currency forecasts: How predictable is change in money?," Journal of International Economics, Elsevier, vol. 38(1-2), pages 161-178, February.
  4. Barbara Rossi & Tatevik Sekhposyan, 2010. "Understanding Models' Forecasting Performance," Working Papers 10-56, Duke University, Department of Economics.

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