Geopolitical risk and global financial cycle: Some forecasting experiments.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 1, p. 3, doi. 10.1002/for.2904
- By:
- Publication type:
- Article
Works matching IS 02776693 AND DT 2023 AND VI 42 AND IP 1
Results: 11
1
2
A tug of war of forecasting the US stock market volatility: Oil futures overnight versus intraday information.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 1, p. 60, doi. 10.1002/for.2903
- By:
- Publication type:
- Article
3
Volatility forecasting for stock market incorporating macroeconomic variables based on GARCH‐MIDAS and deep learning models.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 1, p. 51, doi. 10.1002/for.2899
- By:
- Publication type:
- Article
4
Forecasting energy prices: Quantile‐based risk models.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 1, p. 17, doi. 10.1002/for.2898
- By:
- Publication type:
- Article
5
Trading volume and realized volatility forecasting: Evidence from the China stock market.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 1, p. 76, doi. 10.1002/for.2897
- By:
- Publication type:
- Article
6
Estimation of short‐run predictive factor for US growth using state employment data.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 1, p. 34, doi. 10.1002/for.2896
- By:
- Publication type:
- Article
7
A hybrid approach with step‐size aggregation to forecasting hierarchical time series.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 1, p. 176, doi. 10.1002/for.2895
- By:
- Publication type:
- Article
8
Wind power prediction based on wind speed forecast using hidden Markov model.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 1, p. 101, doi. 10.1002/for.2889
- By:
- Publication type:
- Article
9
Power grid operation optimization and forecasting using a combined forecasting system.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 1, p. 124, doi. 10.1002/for.2888
- By:
- Publication type:
- Article
10
A new PM<sub>2.5</sub> concentration forecasting system based on AdaBoost‐ensemble system with deep learning approach.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 1, p. 154, doi. 10.1002/for.2883
- By:
- Publication type:
- Article
11
Issue Information.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 1, p. 1, doi. 10.1002/for.2861
- Publication type:
- Article