Issue Information.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 1, doi. 10.1002/for.2606
- Publication type:
- Article
Works matching IS 02776693 AND DT 2020 AND VI 39 AND IP 2
Results: 15
1
2
Evaluation of current research on stock return predictability.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 334, doi. 10.1002/for.2629
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- Publication type:
- Article
3
Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 313, doi. 10.1002/for.2628
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- Publication type:
- Article
4
On the use of power transformations in CAViaR models.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 296, doi. 10.1002/for.2627
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- Publication type:
- Article
5
Filtering and prediction of noisy and unstable signals: The case of Google Trends data.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 281, doi. 10.1002/for.2626
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- Publication type:
- Article
6
Predicting loan default in peer-to-peer lending using narrative data.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 260, doi. 10.1002/for.2625
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- Publication type:
- Article
7
Forecasting of electricity price through a functional prediction of sale and purchase curves.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 242, doi. 10.1002/for.2624
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- Publication type:
- Article
8
Financial market imperfections and profitability: New evidence from a large panel of US SME firms.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 220, doi. 10.1002/for.2623
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- Publication type:
- Article
9
Predictive ability and economic gains from volatility forecast combinations.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 200, doi. 10.1002/for.2622
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- Publication type:
- Article
10
A simple parameter-driven binary time series model.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 187, doi. 10.1002/for.2621
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- Publication type:
- Article
11
Model instability in predictive exchange rate regressions.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 168, doi. 10.1002/for.2620
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- Publication type:
- Article
12
Volatility forecasting with bivariate multifractal models.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 155, doi. 10.1002/for.2619
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- Publication type:
- Article
13
Volatility forecasts using stochastic volatility models with nonlinear leverage effects.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 143, doi. 10.1002/for.2618
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- Publication type:
- Article
14
Modeling and forecasting commodity market volatility with long-term economic and financial variables.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 126, doi. 10.1002/for.2617
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- Publication type:
- Article
15
Forecasting air pollution PM2.5 in Beijing using weather data and multiple kernel learning.
- Published in:
- Journal of Forecasting, 2020, v. 39, n. 2, p. 117, doi. 10.1002/for.2599
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- Publication type:
- Article