Why do EMD‐based methods improve prediction? A multiscale complexity perspective.
- Published in:
- Journal of Forecasting, 2019, v. 38, n. 7, p. 714, doi. 10.1002/for.2593
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- Publication type:
- Article
Works matching IS 02776693 AND DT 2019 AND VI 38 AND IP 7
Results: 8
1
2
Do stock markets have predictive content for exchange rate movements?
- Published in:
- Journal of Forecasting, 2019, v. 38, n. 7, p. 699, doi. 10.1002/for.2592
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- Publication type:
- Article
3
A forecasting analysis of risk‐neutral equity and Treasury volatilities.
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- Journal of Forecasting, 2019, v. 38, n. 7, p. 681, doi. 10.1002/for.2591
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- Publication type:
- Article
4
Out‐of‐sample volatility prediction: A new mixed‐frequency approach.
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- Journal of Forecasting, 2019, v. 38, n. 7, p. 669, doi. 10.1002/for.2590
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- Publication type:
- Article
5
Can urban coffee consumption help predict US inflation?
- Published in:
- Journal of Forecasting, 2019, v. 38, n. 7, p. 649, doi. 10.1002/for.2589
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- Article
6
Predicting multistage financial distress: Reflections on sampling, feature and model selection criteria.
- Published in:
- Journal of Forecasting, 2019, v. 38, n. 7, p. 632, doi. 10.1002/for.2588
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- Publication type:
- Article
7
Forecasting with many predictors using Bayesian additive regression trees.
- Published in:
- Journal of Forecasting, 2019, v. 38, n. 7, p. 621, doi. 10.1002/for.2587
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- Publication type:
- Article
8
Issue Information.
- Published in:
- Journal of Forecasting, 2019, v. 38, n. 7, p. N.PAG, doi. 10.1002/for.2537
- Publication type:
- Article