INTERNATIONAL JOURNAL OF FORECASTING
INT J FORECASTING
影响因子:7.1
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是否预警:不在预警名单内
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出版社:Elsevier
发刊时间:0
发刊频率:
收录数据库:Scopus收录
ISSN:0169-2070

中科院2-4区医学SCI协投:

影响因子0-3分,2-4个月确保录用

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年发文量 97
国人发稿量 3.88
国人发文占比 0.04%
自引率 -
平均录取率-
平均审稿周期 -
版面费 US$1200
偏重研究方向 Multiple-
期刊官网
投稿链接
期刊高被引文献
Global energy forecasting competition 2017: Hierarchical probabilistic load forecasting
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.02.006
Forecasting sales in the supply chain: Consumer analytics in the big data era
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.09.003
Online adaptive lasso estimation in vector autoregressive models for high dimensional wind power forecasting
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.02.001
Operational solar forecasting for the real-time market
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.03.009
Demand forecasting with user-generated online information
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.03.005
Efficiency of Online Football Betting Markets
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.07.008
Macroeconomic forecasting for Australia using a large number of predictors
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.12.002
Nowcasting and forecasting GDP in emerging markets using global financial and macroeconomic diffusion indexes
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.10.008
Bayesian forecasting of UEFA Champions League under alternative seeding regimes
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.07.009
Intraday portfolio risk management using VaR and CVaR:A CGARCH-EVT-Copula approach
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.01.010
Questioning the News About Economic Growth: Sparse Forecasting Using Thousands of News-Based Sentiment Values
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.10.010
Combining wavelet decomposition with machine learning to forecast gold returns
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.11.008
Forecasting U.S. money growth using economic uncertainty measures and regularisation techniques
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.09.012
Quantile regression for the qualifying match of GEFCom2017 probabilistic load forecasting
来源期刊:International Journal of ForecastingDOI:10.1016/j.ijforecast.2018.07.004
Asymmetry in unemployment rate forecast errors
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.11.006
Forecasting of density functions with an application to cross-sectional and intraday returns
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.05.007
Combining forecasts: Performance and coherence
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.10.006
Testing out-of-sample portfolio performance
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.09.010
New perspectives on forecasting inflation in emerging market economies: An empirical assessment
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.04.004
Residential Investment and Recession Predictability
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.09.008
Reconciled boosted models for GEFCom2017 hierarchical probabilistic load forecasting
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.09.009
The Wisdom of Large and Small Crowds: Evidence from Repeated Natural Experiments in Sports Betting
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.06.002
Systemic risk in major public contracts
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.10.005
Interpreting the skill score form of forecast performance metrics
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.11.010
Bagged neural networks for forecasting Polish (low) inflation
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.04.007
Machine learning methods for GEFCom2017 probabilistic load forecasting
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.02.002
Quantile forecast optimal combination to enhance safety stock estimation
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.05.009
Relative performance of judgemental methods for forecasting the success of megaprojects
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.05.018
Forecasting and trading on the VIX futures market: A neural network approach based on open to close returns and coincident indicators
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.03.022
Artificial bee colony-based combination approach to forecasting agricultural commodity prices
来源期刊:International Journal of ForecastingDOI:10.1016/j.ijforecast.2019.08.006
Keeping a weather eye on prediction markets: The influence of environmental conditions on forecasting accuracy
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.04.005
A novel cluster HAR-type model for forecasting realized volatility
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.04.017
Using scenarios to forecast outcomes of a refugee crisis
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.05.017
Do IMF forecasts respect Okun’s law? Evidence for advanced and developing economies
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.03.001
Forecasting returns in the VIX futures market
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.01.009
Explaining variance in the accuracy of prediction markets
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.04.009
Long-term forecasting of fuel demand at theater entry points
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.09.001
Incentive compatibility in prediction markets: Costly actions and external incentives
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.07.005
International propagation of shocks: A dynamic factor model using survey forecasts
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.04.002
Forecasting bulk prices of Bordeaux wines using leading indicators
来源期刊:International Journal of ForecastingDOI:10.1016/j.ijforecast.2019.04.021
Heterogeneous component multiplicative error models for forecasting trading volumes
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.06.002
Crowdsourcing the vote: New horizons in citizen forecasting
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.07.011
The trilemma between accuracy, timeliness and smoothness in real-time signal extraction
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.03.008
Predictive regressions under asymmetric loss: Factor augmentation and model selection
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2018.07.013
Forecasting issues in developing economies
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.04.005
A new approach for detecting shifts in forecast accuracy
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.01.008
Ordinal-response GARCH models for transaction data: A forecasting exercise
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.02.016
Anomalies in macroeconomic prediction errors–evidence from Chilean private forecasters
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.04.008
Data visualization and forecast combination for probabilistic load forecasting in GEFCom2017 final match
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.02.004
Evaluating the conditionality of judgmental forecasts
来源期刊:International Journal of ForecastingDOI:10.1016/J.IJFORECAST.2019.03.026
质量指标占比
研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
97.14%10.03%--
相关指数
影响因子
影响因子
年发文量
自引率
Cite Score
预警情况 查看说明
时间 预警情况
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2021年01月发布的2020版不在预警名单中
*来源:中科院《 国际期刊预警名单》
JCR分区 WOS分区等级:Q1区
版本 按学科 分区
WOS期刊SCI分区
WOS期刊SCI分区
WOS期刊SCI分区是指SCI官方(Web of Science)为每个学科内的期刊按照IF数值排 序,将期刊按照四等分的方法划分的Q1-Q4等级,Q1代表质量最高,即常说的1区期刊。
(2024-2025年最新版)
ECONOMICS
Q1
MANAGEMENT
Q1
中科院分区 查看说明
版本 大类学科 小类学科 Top期刊 综述期刊
2023年12月最新升级版
经济学1区
ECONOMICS
经济学
1区
MANAGEMENT
管理学
2区
2022年12月升级版
经济学1区
ECONOMICS
经济学
2区
MANAGEMENT
管理学
2区
2021年12月基础版
经济学2区
ECONOMICS
经济学
2区
MANAGEMENT
管理学
3区
2020年12月旧升级版
经济学2区
ECONOMICS
经济学
2区
MANAGEMENT
管理学
3区
投稿经验
初审52天,可能跟圣诞节和元旦的节假日有关。但总体而言,还是慢了点,with editor都要这么久,更不用说under review了。