Chapter 3 Forecast Evaluation
By Ken West. 2006
84 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Andrew J. Patton
- D. Wu
- Konstantinos Nikolopoulos
- Haiyan Song
- Yanqin Fan
- George Athanasopoulos
- Rob J Hyndman
- Sébastien-Yves Laurent
In Finance
- Andrew J. Patton
- Yanqin Fan
- Sébastien-Yves Laurent
- Jeroen V. K. Rombouts
- Konstantinos Nikolopoulos
- George Athanasopoulos
- Rob J Hyndman
- D. Wu
Citations in the corpus
- The Tourism Forecasting Competition (2011, background): “There is a gap in the literature between the methodological developments in density forecasting (see, for example, Tay and Wallis, 2002; West, 2006) and the applied forecasting papers that do not produce statements of uncertainty to accompany their point forecasts.”
- Advances in Forecast Evaluation (2011, unknown): “This section rst provides an overview of population-level forecast evaluation (relatively brief in light of the detail provided in West (2006)) and recent developments in populationlevel testing.”
- Do Macro Variables, Asset Markets or Surveys Forecast Inflation Better? (2007, unknown): “We use the notation based on West (2006).”
- On the Forecasting Accuracy of Multivariate GARCH Models (2010, background): “Important generalizations can be found West (1996), Clark and McCracken (2001), Clark and West (2006) and Clark and West (2007).”
- Multi-Horizon Forecast Comparison (2019, unknown): “Construction of such tests requires a different asymptotic framework, extensively discussed in West (2006).”
- Quantile forecasts of daily exchange rate returns from forecasts of realized volatility (2008, unknown): “By allotting only a relatively small fraction of our total observations to the forecast period, we are able to side-step issues related to the e¤ects of in-sample parameter estimation uncertainty on the distribution of the test statistic (see West (2006) for a discussion).”
- Copulas in Econometrics (2014, methodology): “In forecasting applications, OOS comparisons of models are widely used (see West 2006 for a general review of this topic).”