Does herding effect help forecast market volatility?—Evidence from the Chinese stock market.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 5, p. 1275, doi. 10.1002/for.2968
- By:
- Publication type:
- Article
Works matching IS 02776693 AND DT 2023 AND VI 42 AND IP 5
Results: 16
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Forecasting air quality index considering socioeconomic indicators and meteorological factors: A data granularity perspective.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 5, p. 1261, doi. 10.1002/for.2962
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- Publication type:
- Article
3
Withdrawal: Stock price prediction with technical analysis and market sentiment via dual‐attention networks, by Shuaijie Deng and Changjiang Zhang, Journal of Forecasting, [https://doi.org/10.1002/for.2954].
- Published in:
- 2023
- Publication type:
- Correction Notice
4
A deep learning model for online doctor rating prediction.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 5, p. 1245, doi. 10.1002/for.2953
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- Publication type:
- Article
5
Forecasting term structure of the Japanese bond yields in the presence of a liquidity trap.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 5, p. 1205, doi. 10.1002/for.2952
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- Publication type:
- Article
6
An investigation into the probability that this is the last year of the economic expansion.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 5, p. 1228, doi. 10.1002/for.2939
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- Publication type:
- Article
7
Multiclass financial distress prediction based on one‐versus‐one decomposition integrated with improved decision‐directed acyclic graph.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 5, p. 1167, doi. 10.1002/for.2937
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- Publication type:
- Article
8
Forecasting financial markets with semantic network analysis in the COVID‐19 crisis.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 5, p. 1187, doi. 10.1002/for.2936
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- Publication type:
- Article
9
A hybrid prediction model with time‐varying gain tracking differentiator in Taylor expansion: Evidence from precious metals.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 5, p. 1138, doi. 10.1002/for.2935
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- Publication type:
- Article
10
Dynamic forecasting for nonstationary high‐frequency financial data with jumps based on series decomposition and reconstruction.
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- Journal of Forecasting, 2023, v. 42, n. 5, p. 1055, doi. 10.1002/for.2934
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- Publication type:
- Article
11
Early prediction of Ibex 35 movements.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 5, p. 1150, doi. 10.1002/for.2933
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- Publication type:
- Article
12
A new model for forecasting VaR and ES using intraday returns aggregation.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 5, p. 1039, doi. 10.1002/for.2932
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- Publication type:
- Article
13
Interpreting the prediction results of the tree‐based gradient boosting models for financial distress prediction with an explainable machine learning approach.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 5, p. 1112, doi. 10.1002/for.2931
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- Publication type:
- Article
14
Reference class selection in similarity‐based forecasting of corporate sales growth.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 5, p. 1069, doi. 10.1002/for.2927
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- Publication type:
- Article
15
Risk‐neutral moments and return predictability: International evidence.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 5, p. 1086, doi. 10.1002/for.2926
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- Publication type:
- Article
16
Issue Information.
- Published in:
- Journal of Forecasting, 2023, v. 42, n. 5, p. 1037, doi. 10.1002/for.2865
- Publication type:
- Article