Forecasting

2019 - 2026

Current editor(s): Mrs. Oana Irina Karadag

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Volume 8, issue 4, 2026

Modeling Positive Seasonal Time Series with Dynamic Precision: The Generalized BPSARMA Model pp. 1-37

Kleber H. Santos and Francisco Cribari-Neto

DG-TFT-CQR: A Dynamic Graph–Temporal Fusion Transformer with Conformalized Quantile Regression for Wind Power Forecasting pp. 1-43

Yassir El Bakkali, Nissrine Krami, Youssef Rochdi and Achraf Boukaibat

S-NODE-ANF-RRC: Stochastic Neural ODE for Financial Regime Forecasting and False Alarm Control on JSE Equities pp. 1-33

Ntebogang Dinah Moroke

Volume 8, issue 3, 2026

Singular Design Foresight: A Foundational Method for Auditable Anticipation and Decision Closure pp. 1-30

Pablo Lara-Navarra, Antonia Ferrer-Sapena and Enrique A. Sánchez-Pérez

Multi-Timeframe Feature Engineering for Bitcoin Market Prediction: A Price-Level-Agnostic Machine Learning Approach pp. 1-27

Pedro Sobreiro, Domingos Martinho, Rui Martins and Ricardo Vardasca

Multi-Scale Forecasting of Natural Rubber Prices Using VMD-Augmented BiLSTM: A Hybrid Architecture Ablation Study pp. 1-40

Montchai Pinitjitsamut

Hybrid Clustering for Retail Demand Forecasting: Combining Rule-Based and Machine Learning Methods pp. 1-25

Jung-Hyuk Kim and Nam-Wook Cho

Role of High-Resolution Land Surface Representation in WRF Model for Forecasting Extreme Heatwave Conditions over Cyprus pp. 1-23

Avinash N. Parde, Kartik Koundal, Utkarsh Bhautmage, Michael Mau Fung Wong, Christina Oikonomou and Haris Haralambous

Standardized Precipitation Index Forecasting Comparison Using Transformer Models pp. 1-19

Rafael Magallanes-Quintanar, Carlos Eric Galván-Tejada, Jorge Isaac Galván-Tejada, Santiago de Jesús Méndez-Gallegos and Antonio García-Domínguez

Extreme Event Modelling and Forecasting: Empirical Evidence from Predicting GDP and Unemployment in the USA pp. 1-12

R. Shankar, A. Alroomi, V. Bougioukos and K. Nikolopoulos

Garbage In, Garbage Out? The Impact of Data Quality on the Performance of Financial Distress Prediction Models pp. 1-42

Veronika Labosova, Lucia Duricova, Katarina Kramarova and Marek Durica

Determinants of Successful IoT and AI Initiatives in the SMART Economy: An Enterprise Perspective pp. 1-33

Jan Dvorsky, Matus Senci, Abdul Bashiru Jibril and Zora Petrakova

Interactions Between Business Cycles, Financial Cycles and Monetary Policy in South Africa pp. 1-33

Malibongwe Cyprian Nyati, Paul-Francois Muzindutsi and Christian Tipoy

Bitcoin Volatility Forecasting Through Market Sentiment, Blockchain Fundamentals, and Endogenous Market Uncertainty pp. 1-38

Marcel Figura, Martin Bugaj, Elvira Nica and Gheorghe H. Popescu

Prediction of Scour Hole Geometry Downstream of Ski-Jump Spillways Using Novel Intelligent Computational Machine Learning Models pp. 1-38

Mehrshad Samadi, Aydin Shishegaran, Mina Torabi and Zohreh Sheikh Khozani

Longitudinal Growth Dynamics and Future Potential for the Supply–Demand Trend of Mango and Avocado Exports in Australia pp. 1-32

Sabrina Haque, Nuruzzaman Khan, Delwar Akbar, Susan Kinnear and Azad Rahman

Learning Rare Events: Deep Learning Approaches to Extreme Price Prediction pp. 1-34

Mark Sinclair, Andrew J. Shepley and Farshid Hajati

Forecasting South Africa’s Coal-to-Clean Energy Transition: A Monte Carlo Simulation pp. 1-60

Luyanda Majenge, Simiso Msomi and Sakhile Mpungose

A Hybrid Linear–Gaussian Process Framework with Adaptive Covariance Selection for Spatio-Temporal Wind Speed Forecasting pp. 1-37

Thinawanga Hangwani Tshisikhawe, Caston Sigauke, Timotheous Brian Darikwa and Saralees Nadarajah

Chaos and Predictability in Cryptocurrencies pp. 1-15

Salim Lahmiri and Stelios Bekiros

Regime-Aware Stock Index Forecasting Under Latent Market States: A Hybrid Statistical Learning Framework with Cross-Market Validation pp. 1-48

Chunxia Tian, Roengchai Tansuchat and Songsak Sriboonchitta

Volume 8, issue 2, 2026

The Symmetric Mean Absolute Percentage Error: Unnecessary or Dangerous pp. 1-19

Stephan Kolassa

Performance Evaluation of Advanced RNNs for Accurate Prediction of Adjusted Closing Gold Prices pp. 1-19

Thabang Molefi, Tshegofatso Botlhoko and Tlhalitshi Volition Montshiwa

A Combined Kalman Filter–LSTM to Forecast Downside Risk of BWP/USD Returns: A Bottom-Up Hierarchical Approach pp. 1-27

Katleho Makatjane and Diteboho Xaba

The Impact of Occupancy Dynamics on Indoor CO 2 Forecasting: A Cross-Scenario Evaluation pp. 1-24

Peio Garcia-Pinilla, Aranzazu Jurio, Maria Figols and Daniel Paternain

A Comparative Analysis of Green and Brown Stocks: The Impact of Uncertainty Indices on Tail-Risk Forecasting pp. 1-24

Antonio Naimoli and Giuseppe Storti

Assessing Historical and Simulating Future Land-Use and Land-Cover Change Through an Integrated Cellular Automata and Machine-Learning Framework in Urbanizing Areas pp. 1-26

Roshan Sewa, Bibas Pokhrel, Bikash Subedi, Roshan Raj Karki, Bishal Poudel and Ajay Kalra

External Macroeconomic Variables and Stock Returns: Evidence from Conventional and Islamic Indices pp. 1-18

Muhammad Hanif

Forecasting Spatial Inequalities in Cardiovascular Disease-Related Deaths: A Municipal-Level Assessment of Progress Toward SDG 3.4 in Serbia pp. 1-21

Suzana Lović Obradović, Dunja Demirović Bajrami and Marko Filipović

GDP Forecasting with ARIMA, Hidden Markov Models, and an HMM–LSTM Hybrid: Evidence from Five Economies pp. 1-21

Achilleas Tampouris and Chaido Dritsaki

Predictive Monitoring of Wage-Band Classification in GOSI Data with Leakage Control and Out-of-Time Validation pp. 1-37

Ali Louati and Hassen Louati

Precipitation Assessment and Attribution Based on LBGM Ensemble Forecast for the Extreme Rainstorm on 20 July 2021 in Zhengzhou pp. 1-29

Yijia Zhao, Chaohui Chen, Yongqiang Jiang, Jiajun Li, Xiong Chen and Jiwen Zhang

Crude Oil Shocks and Saudi Stock Returns: An Integrated Granger–LSTM–XGBoost Analysis pp. 1-32

Priyanka Aggarwal, Nevi Danila, Eddy Suprihadi and Manoj Kumar Manish

When Does Central Bank Communication Matter? Textual Information, Dynamics, and Regularization pp. 1-32

Igor Barbosa de Andrade Duarte and Márcio Laurini

Advances in Similar Day Methods for Short-Term Load Forecasting for Power Systems pp. 1-50

Monica Borunda, Luis Conde-López, Gerardo Ruiz-Chavarría, Guadalupe Lopez Lopez, Victor M. Alvarado and Edgardo de Jesús Carrera Avendaño

Leakage-Controlled Horizon-Specific Model Selection for Daily Equity Forecasting: An Automated Multi-Model Pipeline pp. 1-35

Francisco Augusto Nuñez Perez, Francisco Javier Aguilar Mosqueda, Adrian Ramos Cuevas, Jaqueline Muñoz Beltran and Jose Cruz Nuñez Perez

From Adoption Diffusion to Dimensioning: Probabilistic Forecasting of 5G/NB-IoT Demand via Monte Carlo Uncertainty Propagation pp. 1-38

Nikolaos Kanellos, Dimitrios Katsianis and Dimitris Varoutas

Volume 8, issue 1, 2026

A Highly Accurate and Efficient Statistical Framework for Short-Term Load Forecasting: A Case Study for Mexico pp. 1-24

Luis Conde-López, Monica Borunda, Gerardo Ruiz-Chavarría and Tomás Aparicio-Cárdenas

The Impact of ESG Performance on Financial Performance: Evidence from Listed Companies in Thailand pp. 1-26

Umawadee Detthamrong, Rapeepat Klangbunrueang, Wirapong Chansanam and Rasita Dasri

An Explainable Voting Ensemble Framework for Early-Warning Forecasting of Corporate Financial Distress pp. 1-28

Lersak Phothong, Anupong Sukprasert, Sutana Boonlua, Prapaporn Chubsuwan, Nattakron Seetha and Rotcharin Kunsrison

Machine Learning Forecasting of Strong Subsequent Events in New Zealand Using the NESTORE Algorithm pp. 1-28

Letizia Caravella and Stefania Gentili

A Comparative Study of Univariate Models for Baltic Dry Index Forecasting pp. 1-25

Juan Huang, Ching-Wu Chu and Hsiu-Li Hsu

Series-Core Fusion Based Multivariate Variational Mode Decomposition for Short-Term Wind Power Prediction Using Multiple Meteorological Data pp. 1-23

Wentian Lu, Zhenming Lu, Wenjie Liu and Yifeng Cao

Advanced Techniques for Financial Distress Prediction pp. 1-19

Lee-Wen Yang, Nguyen Thi Thanh Binh and Jiang Meng Yi

Projection of Changes in Coastal Water Temperature of the Baltic Sea up to 2100 pp. 1-19

Mariusz Ptak, Mariusz Sojka, Soufiane Haddout and Teerachai Amnuaylojaroen

A Comparative and Regional Study of Atmospheric Temperature in the Near-Space Environment Using Intelligent Modeling pp. 1-21

Zhihui Li, Zhiming Han, Huanwei Zhang and Qixiang Liao

Beyond Accuracy: The Cognitive Economy of Trust and Absorption in the Adoption of AI-Generated Forecasts pp. 1-21

Anne-Marie Sassenberg, Nirmal Acharya, Padmaja Kar and Mohammad Sadegh Eshaghi

Climate Indices as Potential Predictors in Empirical Long-Range Meteorological Forecasting Models pp. 1-21

Sergei Soldatenko, Genrikh Alekseev, Vladimir Loginov, Yaromir Angudovich and Irina Danilovich

Forecasting Municipal Financial Distress in South Africa: A Machine Learning Approach pp. 1-34

Nkosinathi Emmanuel Radebe, Bomi Cyril Nomlala and Frank Ranganai Matenda

Pollutant-Specific Deep Learning Architectures for Multi-Species Air Quality Bias Correction: Application to NO 2 and PM 10 in California pp. 1-29

Ioannis Stergiou, Nektaria Traka, Dimitrios Melas, Efthimios Tagaris and Rafaella-Eleni P. Sotiropoulou

New Statistical Approach to Forecasting Earth’s Skin Temperature from MERRA-2 Satellite Using Semiparametric Time Series Regression with Mixed Additive Spline Fourier (STSR-MASF) pp. 1-29

Andrea Tri Rian Dani, Nur Chamidah, I. Nyoman Budiantara, Budi Lestari and Dursun Aydin

Satellite Data and Artificial Intelligence for FINtech pp. 1-20

Alberto Garinei, Massimiliano Proietti, Alessandro Vispa, Stefano Speziali, Giovanni Bartolini, Marcello Marconi, Emanuele Piccioni, Matteo Martini, Francesca Fallucchi, Romeo Giuliano, Ernesto William De Luca, Umberto Di Matteo and Valerio Lemma

Wind Shear Prediction at Jeju International Airport Using a Tree-Based Machine Learning Algorithm pp. 1-20

Jae-Hyeok Seok, Hee-Wook Choi and Sang-Sam Lee

Multi-Scale Explainable AI for RMB Exchange Rate Drivers pp. 1-20

Jie Ji, Shouyang Wang and Yunjie Wei

Investigation of Sudden Stratospheric Warming (SSW) Events Between 1980 and 2100 pp. 1-32

Simla Durmus, Deniz Demirhan, Ismail Gultepe and Onur Durmus