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Statistically significant forecasting improvements: how much out-of-sample data is likely necessary?
14 references·8 citing·34 second hop
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this work references cited by second hop

References

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  • 1994Comparing Predictive Accuracy5,495 cited
  • 1991Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation4,039 cited
  • 2000Forecasting Economic Time Series1,768 cited
  • 1996Asymptotic Inference about Predictive Ability1,415 cited
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  • 2000Robust out-of-sample inference211 cited
  • 1981Effects of Exchange Rate Changes on U.S. Agriculture: A Dynamic Analysis154 cited
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Cited by

  • 2011Does Forecast Combination Improve Norges Bank Inflation Forecasts?*65 cited
  • 2010

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Bayesian forecasting of parts demand
57 cited
  • 2019Adaptive learning forecasting, with applications in forecasting agricultural prices51 cited
  • 2006Forecasting Austrian inflation51 cited
  • 2015Does the vector error correction model perform better than others in forecasting stock price? An application of residual income valuation theory46 cited
  • 2005Evaluating the German Inventory Cycle Using Data from the Ifo Business Survey25 cited
  • 2007Forecasting inflation with an uncertain output gap22 cited
  • 2011On the Granger causality between median inflation and price dispersion15 cited