JournalTOCs

Journal of Forecasting
Journal Prestige (SJR): 0.792

Citation Impact (citeScore): 1
Number of Followers: 19

Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0277-6693 - ISSN (Online) 1099-131X
Published by John Wiley and Sons

[1763 journals]

Issue Information
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  Abstract: Journal of Forecasting, Volume 41, Issue 3, Page 405-406, April 2022.
  PubDate: 2022-03-06T07:16:47-08:00
  DOI: 10.1002/for.2788
  Issue No: Vol. 41, No. 3 (2022)
Modeling Credit Risk with a Multi‐Stage Hybrid Model: an Alternative
Statistical Approach
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  Authors: Mohammad Shamsu Uddin; Guotai Chi, Mazin A. M. Al Janabi, Tabassum Habib, Kunpeng Yuan
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2022-04-28T11:55:00-07:00
  DOI: 10.1002/for.2860
Subsampled Factor Models for Asset Pricing: The Rise of Vasa
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  Authors: Gianluca De Nard; Simon Hediger, Markus Leippold
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2022-03-28T05:27:57-07:00
  DOI: 10.1002/for.2859
A novel robust structural quadratic forecasting model and applications
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  Authors: He Jiang
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2022-03-15T04:03:00-07:00
  DOI: 10.1002/for.2857
Deep learning with regularized robust long and short‐term memory network
for probabilistic short‐term load forecasting
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  Authors: He Jiang; Weihua Zheng
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2022-03-14T08:53:29-07:00
  DOI: 10.1002/for.2855
Nowcasting world GDP growth with high‐frequency data
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  Authors: Caroline Jardet; Baptiste Meunier
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2022-03-14T06:53:57-07:00
  DOI: 10.1002/for.2858
A Comparative Study of Combining Tree‐based Feature Selection Methods
and Classifiers in Personal Loan Default Prediction
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  Authors: Weidong Guo; Zach Zhizhong Zhou
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2022-03-11T10:48:19-08:00
  DOI: 10.1002/for.2856
Distributional Modeling and Forecasting of Natural Gas Prices
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  Authors: Jonathan Berrisch; Florian Ziel
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2022-01-10T07:17:44-08:00
  DOI: 10.1002/for.2853
Anticipating financial distress of high‐tech startups in the EU: A
machine learning approach for imbalanced samples
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  Authors: Yang Liu; Qingguo Zeng, Bobo Li, Lili Ma, Joaquín Ordieres Meré
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2022-01-10T06:53:56-08:00
  DOI: 10.1002/for.2852
Uncertainty and Forecastability of Regional Output Growth in the United
Kingdom: Evidence from Machine Learning
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  Authors: Mehmet Balcilar; David Gabauer, Rangan Gupta, Christian Pierdzioch
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2022-01-07T06:58:12-08:00
  DOI: 10.1002/for.2851
Forecast Evaluation of DSGE Models: Linear and Nonlinear Likelihood
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  Authors: Kuo‐Hsuan Chin
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2022-01-04T10:34:10-08:00
  DOI: 10.1002/for.2850
A model sufficiency test using permutation entropy
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  Authors: Xin Huang; Han Lin Shang, David Pitt
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2022-01-03T08:23:08-08:00
  DOI: 10.1002/for.2849
The Influence of Policy Uncertainty on Exchange Rate Forecasting
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  Authors: L. A. Smales
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-12-30T04:20:42-08:00
  DOI: 10.1002/for.2847
ANN‐Polynomial‐Fourier series Modeling and Monte Carlo
Forecasting of Tourism Data
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  Authors: Salim Jibrin Danbatta; Asaf Varol
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-12-29T04:38:28-08:00
  DOI: 10.1002/for.2845
A Dynamic Scenario‐driven Technique for Stock Price Prediction and
Trading
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  Authors: Yash Thesia; Vidhey Oza, Priyank Thakkar
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-12-28T10:23:04-08:00
  DOI: 10.1002/for.2848
Cryptocurrency Exchanges: Predicting which Markets will Remain Active
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  Authors: George Milunovich; Seung Ah. Lee
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-12-28T09:52:53-08:00
  DOI: 10.1002/for.2846
Large Parallel architecture of CNN‐bidirectional LSTMs for implied
volatility forecast
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  Authors: Ji‐Eun Choi; Dong Wan Shin
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-12-22T05:48:20-08:00
  DOI: 10.1002/for.2844
Corporate failure prediction using threshold‐based models
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  Authors: David Veganzones
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-12-20T06:25:32-08:00
  DOI: 10.1002/for.2842
Limited memory predictors based on polynomial approximation of periodic
exponentials
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  Authors: Nikolai Dokuchaev
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-12-19T10:59:06-08:00
  DOI: 10.1002/for.2843
Forecasting stock return volatility: The role of shrinkage approaches in a
data‐rich environment
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  Authors: Zhifeng Dai; Tingyu Li, Mi Yang
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-12-15T12:34:36-08:00
  DOI: 10.1002/for.2841
Predicting financial crises with machine learning methods
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  Authors: Lanbiao Liu; Chen Chen, Bo Wang
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-12-15T06:33:17-08:00
  DOI: 10.1002/for.2840
Do sentiment indices always improve the prediction accuracy of exchange
rates'+
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  Authors: Takumi Ito; Fumiko Takeda
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-12-13T05:28:16-08:00
  DOI: 10.1002/for.2836
Volatility Forecasting for Crude Oil based on Text Information and Deep
Learning PSO‐LSTM Model
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  Authors: Xingrui Jiao; Yuping Song, Yang Kong, Xiaolong Tang
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-12-12T10:14:34-08:00
  DOI: 10.1002/for.2839
Stock market as a nowcasting indicator for real investment
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  Authors: Stavros Degiannakis
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-12-12T09:44:36-08:00
  DOI: 10.1002/for.2838
Forecasting oil futures realized range‐based volatility with jumps,
leverage effect, and regime switching: New evidence from MIDAS models
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  Authors: Xinjie Lu; Feng Ma, Jiqian Wang, Jing Liu
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-12-12T04:30:41-08:00
  DOI: 10.1002/for.2837
Evaluating heterogeneous forecasts for vintages of macroeconomic variables
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  Authors: Philip Hans Franses; Max Welz
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-12-02T12:24:39-08:00
  DOI: 10.1002/for.2835
Uncertainty and Disagreement of Inflation Expectations: Evidence from
Household‐Level Qualitative Survey Responses†
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  Authors: Yongchen Zhao
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-11-30T08:13:31-08:00
  DOI: 10.1002/for.2834
Dendritic Neuron Model Neural Network Trained by Modified Particle Swarm
Optimization for Time‐Series Forecasting
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  Authors: Ayse Yilmaz; Ufuk Yolcu
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-10-14T05:49:54-07:00
  DOI: 10.1002/for.2833
Uncertainty and the predictability of stock returns†
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  Authors: Wensheng Cai; Zhiyuan Pan, Yudong Wang
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-10-08T02:19:03-07:00
  DOI: 10.1002/for.2832
Optimal hybrid framework for carbon price forecasting using time series
analysis and LSSVM
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  Authors: Wen Zhang; Zhibin Wu
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-09-27T03:15:25-07:00
  DOI: 10.1002/for.2831
A New Hedging Hypothesis Regarding Prediction Interval Formation in Stock
Price Forecasting
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  Authors: Dan Zhu; Qingwei Wang, John Goddard
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-09-27T01:16:58-07:00
  DOI: 10.1002/for.2830
Recession forecasting with high‐dimensional data†
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  Authors: Lauri Nevasalmi
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-09-25T12:03:20-07:00
  DOI: 10.1002/for.2823
A Novel Deep Learning Model Based on Convolutional Neural Networks for
Employee Churn Prediction
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  Authors: Ebru Pekel Ozmen; Tuncay Ozcan
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-09-25T10:44:50-07:00
  DOI: 10.1002/for.2827
FIRM DYNAMICS AND BANKRUPTCY PROCESSES: A NEW THEORETICAL MODEL
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  Authors: Şaban Çelik; Bora Aktan, Bruce Burton
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-09-25T03:24:07-07:00
  DOI: 10.1002/for.2826
Midas Regression: Parameter Selection of Smoothed Least Squares Estimator
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  Authors: Selma Toker; Nimet Özbay, Kristofer Månsson
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-09-25T02:21:42-07:00
  DOI: 10.1002/for.2828
Fundamental Index Aligned and Excess Market Return Predictability
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  Authors: Samuel Yau Man Ze‐To
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-09-25T01:03:58-07:00
  DOI: 10.1002/for.2829
Forecasting Bitcoin volatility: A new insight from the threshold
regression model
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  Authors: Yaojie Zhang; Mengxi He, Danyan Wen, Yudong Wang
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-09-24T08:00:42-07:00
  DOI: 10.1002/for.2822
Forecasting Unemployment in the Euro‐Area with Machine Learning
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  Authors: Periklis Gogas; Theophilos Papadimitriou, Emmanouil Sofianos
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-09-24T04:34:21-07:00
  DOI: 10.1002/for.2824
Multi‐period default probability forecasting
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  Authors: Oliver Blümke
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-09-24T04:21:06-07:00
  DOI: 10.1002/for.2825
The global latent factor and international index futures returns
predictability
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  Authors: Shu‐Lien Chang; Hsiu‐Chuan Lee, Donald Lien
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-09-20T01:21:28-07:00
  DOI: 10.1002/for.2821
Measuring multi‐volatility states of financial markets based on
multifractal clustering model
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  Authors: Xun Huang; Huiyue Tang
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-09-03T09:29:44-07:00
  DOI: 10.1002/for.2820
The Mutual Predictability of Bitcoin and Web Search Dynamics
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  Authors: Bernd Süssmuth
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-08-26T03:40:17-07:00
  DOI: 10.1002/for.2819
Assessing the usefulness of survey‐based data in forecasting firms’
capital formation: evidence from Italy
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  Authors: Claire Giordano; Marco Marinucci, Andrea Silvestrini
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-08-15T11:01:55-07:00
  DOI: 10.1002/for.2808
Forecasting expected shortfall and value at risk with a joint elicitable
mixed data sampling model
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  Authors: Qifa Xu; Lu Chen, Cuixia Jiang, Yezheng Liu
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-08-15T09:09:47-07:00
  DOI: 10.1002/for.2817
Random Forest versus Logit Models: Which Offers Better Early Warning of
Fiscal Stress'
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  Authors: Barbara Jarmulska
  Abstract: Journal of Forecasting, Accepted Article.
  PubDate: 2021-08-15T08:37:03-07:00
  DOI: 10.1002/for.2806