Journal of Forecasting

Papers
(The median citation count of Journal of Forecasting is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
71
Forecasting Gold Volatility in an Uncertain Environment: The Roles of Large and Small Shock Sizes51
Common Shocks and Climate Risk in European Equities47
Regime‐Switching Density Forecasts Using Economists' Scenarios43
Deep learning meets decision trees: An application of a heterogeneous deep forest approach in credit scoring for online consumer lending40
Forecasting elections from partial information using a Bayesian model for a multinomial sequence of data35
A model sufficiency test using permutation entropy35
Forecasting USD/RMB exchange rate using the ICEEMDAN‐CNN‐LSTM model32
Potential Demand Forecasting for Steel Products in Spot Markets Using a Hybrid SARIMA‐LSSVM Approach32
Global Risk Aversion: Driving Force of Future Real Economic Activity31
HyperVIX: A GWO‐Optimized ARIMA‐LSTM Hybrid Model for CBOE Volatility Index (VIX) Forecasting29
Nowcasting inflation with Lasso‐regularized vector autoregressions and mixed frequency data28
Volatility forecasting for stock market incorporating macroeconomic variables based on GARCH‐MIDAS and deep learning models25
Modeling uncertainty in financial tail risk: A forecast combination and weighted quantile approach24
Predicting tail risks by a Markov switching MGARCH model with varying copula regimes23
The ENSO cycle and forecastability of global inflation and output growth: Evidence from standard and mixed‐frequency multivariate singular spectrum analyses22
Robust Estimation of Multivariate Time Series Data Based on Reduced Rank Model22
Macroeconomic real‐time forecasts of univariate models with flexible error structures21
Forecasting stock market returns with a lottery index: Evidence from China20
Volatility forecasting incorporating intraday positive and negative jumps based on deep learning model19
Integrating Google Mobility Indices for Forecasting Infectious Diseases Incidence: A Multi‐Country Study on COVID‐19 With LightGBM19
The Information Content of Overnight Information for Volatility Forecasting: Evidence From China's Stock Market18
Stock Return Prediction Based on a Functional Capital Asset Pricing Model15
Forecasting of S&P 500 ESG Index by Using CEEMDAN and LSTM Approach15
Forecasting oil futures realized range‐based volatility with jumps, leverage effect, and regime switching: New evidence from MIDAS models15
Forecasting corporate financial performance with deep learning and interpretable ALE method: Evidence from China15
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Enhancing Demand Forecasting in Retail: A Comprehensive Analysis of Sales Promotional Effects on the Entire Demand Life Cycle15
Issue Information15
Forecasting carbon emissions using asymmetric grouping15
Volatility forecasting with an extended GARCH‐MIDAS approach15
Using deep (machine) learning to forecast US inflation in the COVID‐19 era15
Corporate failure prediction using threshold‐based models14
Uncertainty and disagreement of inflation expectations: Evidence from household‐level qualitative survey responses14
Prediction of daily tourism volume based on maximum correlation minimum redundancy feature selection and long short‐term memory network14
Tail risk forecasting with semiparametric regression models by incorporating overnight information14
New forecasting methods for an old problem: Predicting 147 years of systemic financial crises14
Leveraging an Integrated First and Second Moments Modeling Approach for Optimal Trading Strategies: Evidence From the Indian Pharma Sector in the Pre‐ and Post‐COVID‐19 Era14
Stock Return Forecasting: A Supervised PCA With Selecting and Scaling13
Using a Wage–Price‐Setting Model to Forecast US Inflation13
Design of a precise ensemble expert system for crop yield prediction using machine learning analytics13
An infinite hidden Markov model with stochastic volatility12
Issue Information12
The role of expectations for currency crisis dynamics—The case of the Turkish lira12
Forecasting nonstationary time series12
A novel semisupervised learning method with textual information for financial distress prediction11
The effect of environment on housing prices: Evidence from the Google Street View11
Fiscal Forecasting Rationality Among Expert Forecasters11
Modeling the relation between the US real economy and the corporate bond‐yield spread in Bayesian VARs with non‐Gaussian innovations11
Central bank information and private‐sector expectations11
Forecasting agricultures security indices: Evidence from transformers method11
Credit risk prediction based on causal machine learning: Bayesian network learning, default inference, and interpretation11
The effects of governance quality on renewable and nonrenewable energy consumption: An explainable decision frame10
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Enhancing credit risk prediction based on ensemble tree‐based feature transformation and logistic regression10
Modeling and Forecasting Stochastic Seasonality: Are Seasonal Autoregressive Integrated Moving Average Models Always the Best Choice?10
Constructing a high‐frequency World Economic Gauge using a mixed‐frequency dynamic factor model10
Stochastic configuration network based on improved whale optimization algorithm for nonstationary time series prediction10
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Issue Information10
Matrix Autoregressive Time Series With Reduced‐Rank and Sparse Structural Constraints10
Uncertainty and forecastability of regional output growth in the UK: Evidence from machine learning10
The optimal interval combination prediction model based on vectorial angle cosine and a new aggregation operator for social security level prediction10
Robust forecasting in spatial autoregressive model with total variation regularization10
Structured multifractal scaling of the principal cryptocurrencies: Examination using a self‐explainable machine learning10
Stock market as a nowcasting indicator for real investment10
The benefit of the Covid‐19 pandemic on global temperature projections9
Using shapely values to define subgroups of forecasts for combining9
The effects of shocks to interest rate expectations in the euro area: Estimates at the country level9
Disciplining growth‐at‐risk models with survey of professional forecasters and Bayesian quantile regression9
Forecasting healthcare service volumes with machine learning algorithms9
Revisiting the Volatility Dynamics of REITs Amid Uncertainty and Investor Sentiment: A Predictive Approach in GARCH‐MIDAS9
Analysis of the relevance of sentiment data for the prediction of excess returns in a multiasset framework9
Credit card loss forecasting: Some lessons from COVID9
Probabilistic electricity price forecasting based on penalized temporal fusion transformer9
Forecasting volatility with investor pessimism index: Exploring the predictive power of search queries9
Effective multi‐step ahead container throughput forecasting under the complex context8
Research on occupant injury severity prediction of autonomous vehicles based on transfer learning8
Using a machine learning approach and big data to augment WASDE forecasts: Empirical evidence from US corn yield8
Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian vector autoregressions?8
The influence of policy uncertainty on exchange rate forecasting8
Sectoral Corporate Profits and Long‐Run Stock Return Volatility in the United States: A GARCH‐MIDAS Approach8
A deep learning model for online doctor rating prediction8
A review of artificial intelligence quality in forecasting asset prices8
Issue Information8
Issue Information8
Mixed membership nearest neighbor model with feature difference8
European Union Allowance price forecasting with Multidimensional Uncertainties: A TCN‐iTransformer Approach for Interval Estimation8
Forecasting the realized volatility of agricultural commodity prices: Does sentiment matter?8
Long‐term forecasting of maritime economics index using time‐series decomposition and two‐stage attention8
Modeling credit risk with a multi‐stage hybrid model: An alternative statistical approach8
Forecasting the 2020 and 2024 U.S. presidential elections7
Economic Conditions and Predictability of US Stock Returns Volatility: Local Factor Versus National Factor in a GARCH‐MIDAS Model7
Estimation of Constrained Factor Models for High‐Dimensional Time Series7
Modeling Volatility Dynamics in Emerging Markets: Novel Evidence From Large Set of Predictors7
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A Dynamic Fuzzy Modeling Method for Interval Time Series and Applications in Range‐Based Volatility Prediction7
Forecasting food price inflation during global crises7
Explainable Soybean Futures Price Forecasting Based on Multi‐Source Feature Fusion6
Toward a smart forecasting model in supply chain management: A case study of coffee in Vietnam6
Innovative Techniques to Predict Churn in the French Insurance Industry: Integration of Machine Learning With the Grabit Model6
A Novel Approach to Forecasting After Large Forecast Errors6
Forecasting nonperforming loans using machine learning6
Uncertainties and disagreements in expectations of professional forecasters: Evidence from an inflation targeting developing country6
Modelling and Forecasting of Exchange Rate Pairs Using the Kalman Filter6
On the Optimal Selection of Time‐Lag Embedding Dimension for Deep Learning Approaches in Financial Forecasting With Big Data6
Issue Information6
A Novel Multiclass Imbalance Classification Framework With Dynamic Evidential Fusion for Credit Rating6
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Forecasting energy prices: Quantile‐based risk models6
A comparison of Range Value at Risk (RVaR) forecasting models6
A study and development of high‐order fuzzy time series forecasting methods for air quality index forecasting6
Measuring the advantages of contemporaneous aggregation in forecasting6
Extensions of the Lee–Carter model to project the data‐driven rotation of age‐specific mortality decline and forecast coherent mortality rates6
Assessing components of uncertainty in demographic forecasts with an application to fiscal sustainability6
Scaling‐Aware Rating of Poisson‐Limited Demand Forecasts6
Issue Information6
Corporate financial distress prediction in a transition economy6
Climate Change Risk and Financial Market Response: An International Evidence From Performance Forecasts by Financial Analysts6
Do search queries predict violence against women? A forecasting model based on Google Trends5
Deciphering Long‐Term Economic Growth: An Exploration With Leading Machine Learning Techniques5
Forecasting the different influencing factors of household food waste behavior in China under the COVID‐19 pandemic5
Forecasting the high‐frequency volatility based on the LSTM‐HIT model5
The battle of the factors: Macroeconomic variables or investor sentiment?5
Variable selection for classification and forecasting of the family firm's socioemotional wealth5
Taming Data‐Driven Probability Distributions5
Fire Prediction and Risk Identification With Interpretable Machine Learning5
Assessing the economy using faster indicators5
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Combined water quality forecasting system based on multiobjective optimization and improved data decomposition integration strategy5
Comparison of improved relevance vector machines for streamflow predictions5
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Forecasting Volatility of Australian Stock Market Applying WTC‐DCA‐Informer Framework5
Data patterns that reliably precede US recessions5
Structural and predictive analyses with a mixed copula‐based vector autoregression model5
Are national or regional surveys useful for nowcasting regional jobseekers? The case of the French region of Pays‐de‐la‐Loire5
Forecasting realized volatility of Bitcoin: The informative role of price duration5
Forecasting intraday financial time series with sieve bootstrapping and dynamic updating5
Forecasting the containerized freight index with AIS data: A novel information combination method based on gray incidence analysis5
A Multiscale Transformer Model for Long Time Series Forecasting Based on Discrete Wavelet Transform and Residual Learning Modules4
Predicting Equity Premium: A New Momentum Indicator Selection Strategy With Machine Learning4
Embedding the weather prediction errors (WPE) into the photovoltaic (PV) forecasting method using deep learning4
Forecasting in turbulent times4
Twitter policy uncertainty and stock returns in South Africa: Evidence from time‐varying Granger causality4
Forecasting Natural Gas Futures Prices Using Hybrid Machine Learning Models During Turbulent Market Conditions: The Case of the Russian–Ukraine Crisis4
Forecasting Chinese Stock Market Volatility With Volatilities in Bond Markets4
Out‐of‐sample volatility prediction: Rolling window, expanding window, or both?4
Making the whole greater than the sum of its parts: A literature review of ensemble methods for financial time series forecasting4
Prediction of wind energy with the use of tensor‐train based higher order dynamic mode decomposition4
Forecasting Bitcoin returns: Econometric time series analysis vs. machine learning4
Forecast combination puzzle in the HAR model4
Distributional modeling and forecasting of natural gas prices4
Forecasting multi‐frequency intraday exchange rates using deep learning models4
Cryptocurrencies trading algorithms: A review4
Liquidity premiums, interest rate differentials, and nominal exchange rate prediction4
Forecasting the volatility of crude oil futures: A time‐dependent weighted least squares with regularization constraint4
Policy uncertainty and stock market volatility revisited: The predictive role of signal quality4
The role of investor sentiment in forecasting housing returns in China: A machine learning approach4
Forecasting Equity Premium in the Face of Climate Policy Uncertainty4
A generalized two‐factor square‐root framework for modeling occurrences of natural catastrophes4
Wind power prediction based on wind speed forecast using hidden Markov model4
Parametric Quantile Autoregressive Conditional Duration Models With Application to Intraday Value‐at‐Risk Forecasting4
Forecasting global solar radiation using a robust regularization approach with mixture kernels4
A comparative study of combining tree‐based feature selection methods and classifiers in personal loan default prediction4
Threshold MIDAS Forecasting of Canadian Inflation Rate4
Multivariable forecasting approach of high‐speed railway passenger demand based on residual term of Baidu search index and error correction4
A dynamic performance evaluation of distress prediction models3
Forecasting interval‐valued returns of crude oil: A novel kernel‐based approach3
Affinities and Complementarities of Methods and Information Sets in the Estimation of Prices in Real Estate Markets3
New runs‐based approach to testing value at risk forecasts3
Turning Time Into Shapes: A Point‐Cloud Framework With Chaotic Signatures for Time Series3
Harnessing volatility cascades with ensemble learning3
Measuring the Impact of Transition Risk on Financial Markets: A Joint VaR‐ES Approach3
Issue Information3
Assessing the informational content of card transactions for nowcasting retail trade: Evidence for Latvia3
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Worse than you think: Public debt forecast errors in advanced and developing economies3
Nowcasting the state of the Italian economy: The role of financial markets3
Multi‐step air quality index forecasting via data preprocessing, sequence reconstruction, and improved multi‐objective optimization algorithm3
Issue Information3
How media content influences economic expectations: Evidence from a global expert survey3
A systematic vector autoregressive framework for modeling and forecasting mortality3
Advances in forecasting: An introduction in light of the debate on inflation forecasting3
Combine to compete: Improving fiscal forecast accuracy over time3
Time‐varying risk preference and equity risk premium forecasting: The role of the disposition effect3
Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting3
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A Markov chain model of crop conditions and intrayear crop yield forecasting3
Temporal Patterns in Migration Flows Evidence from South Sudan3
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Early prediction of Ibex 35 movements3
Medium‐ to Long‐Term Demand Forecasting in Retail and Manufacturing Organizations: Integration of Machine Learning, Human Judgment, and Interval Variable3
A Bayesian realized threshold measurement GARCH framework for financial tail risk forecasting3
Forecasting the Realized Volatility of Stock Markets: The Roles of Jumps and Asymmetric Spillovers3
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Interest rate uncertainty and the predictability of bank revenues3
A Trend‐Aware Transformer‐Based Approach for Improving Long‐Range Multivariate Time‐Series Forecasting With Decomposition3
Forecasting the stock risk premium: A new statistical constraint2
A multi‐objective optimization metaheuristic hybrid technique for forecasting the electricity consumption of the UAE: A grey wolf approach2
Could Diffusion Indexes Have Forecasted the Great Depression?2
Forecasting sovereign CDS spreads with a regime‐switching combination method2
Modeling and Forecasting the CBOE VIX With the TVP‐HAR Model2
On bootstrapping tests of equal forecast accuracy for nested models2
El Niño, La Niña, and forecastability of the realized variance of agricultural commodity prices: Evidence from a machine learning approach2
Forecasting Transition of Personal Travel Behavior in a Sharing Economy: Evidence From Consumer Preferences of Travel Modes2
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How Does Cyber Risk Impact Systemic Stability?2
Media Tone: The Role of News and Social Media on Heterogeneous Inflation Expectations2
An evolutionary cost‐sensitive support vector machine for carbon price trend forecasting2
A Frailty Cumulative Link Model for Enhanced Prediction of Loss Given Default Distribution2
Forecasting CPI with multisource data: The value of media and internet information2
Forecasting value at risk and expected shortfall using high‐frequency data of domestic and international stock markets2
Stock picking with machine learning2
Functional volatility forecasting2
Bank Capital Requirements, Lending Supply, and Economic Activity: A Scenario Analysis Perspective2
Bayesian Markov switching model for BRICS currencies' exchange rates2
Forecasting international equity market volatility: A new approach2
IWSL Model: A Novel Credit Scoring Model With Interpretable Features for Consumer Credit Scenarios2
Big data financial transactions and GDP nowcasting: The case of Turkey2
Well googled is half done: Multimodal forecasting of new fashion product sales with image‐based google trends2
A novel robust structural quadratic forecasting model and applications2
A new PM2.5 concentration forecasting system based on AdaBoost‐ensemble system with deep learning approach2
Data Quality Improvement for Financial Distress Prediction: Feature Selection, Data Re‐Sampling, and Their Combinations in Different Orders2
Incorporating media news to predict financial distress: Case study on Chinese listed companies2
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Large covariance estimation using a factor model with common and group‐specific factors2
Macroeconomic conditions and bank failure2
Issue Information2
The mean squared prediction error paradox2
A Review of Methods for Long‐Term Electric Load Forecasting2
Forecasting GDP growth: The economic impact of COVID‐19 pandemic2
Gated recurrent unit network: A promising approach to corporate default prediction2
A GARCH model selection and estimation method based on neural network with the loss function of mean square error and model confidence set2
Crowd Flow Prediction: An Integrated Approach Using Dynamic Spatial–Temporal Adaptive Modeling for Pattern Flow Relationships2
Component‐Driven FX Volatility Prediction: Evidence From USDCNH via GARCH‐MIDAS Models Exploiting Leading Indicators2
Crossproduct Effect and Volatility Forecasting2
Default Prediction Framework With Optimal Feature Set and Matching Ratio2
Reference class selection in similarity‐based forecasting of corporate sales growth2
Deep Learning and Machine Learning Insights Into the Global Economic Drivers of the Bitcoin Price2
A Hybrid Deep Learning Model for Coal Index Forecasting Based on Sentiment Analysis and Decomposition–Reconstruction Methods1
Forgetting approaches to improve forecasting1
Forecasting VaR and ES in emerging markets: The role of time‐varying higher moments1
Issue Information1
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Forecasting air quality index considering socioeconomic indicators and meteorological factors: A data granularity perspective1
Forecasting global stock market volatility: The impact of volatility spillover index in spatial‐temporal graph‐based model1
Forecasting and trading Bitcoin with machine learning techniques and a hybrid volatility/sentiment leverage1
Issue Information1
Step by Step—A Quarterly Evaluation of EU Commission's GDP Forecasts1
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