Computational Economics
1993 - 2026
Continuation of Computer Science in Economics & Management. Current editor(s): Hans Amman From: Springer Society for Computational Economics Contact information at EDIRC. Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 68, issue 3, 2026
- Call for Papers: Technological and Financial Innovation in Climate Risk Governance: Opportunities and Challenges pp. 1889-1893

- Malin Song, Marilen Gabriel Pirtea and Santiago Budría
- Optimizing Multivariate Time Series Forecasting with LSTM: A Hybrid Scaling and Layer Normalization Framework Utilizing Logistic and Sigmoid-Curve transformations for Enhanced Predictive Accuracy pp. 1895-1937

- Yuvaraja Boddu and Manimaran A
- Understanding Machine Learning-based Methods in Macroeconomic Forecasting: Tracking Chinese GDP Growth Rate pp. 1939-1991

- Qin Zhang and Yong Bian
- Deep Learning-based VVIX Forecasting with Time Series Image Encoding and Hybrid ResNet-LSTM Model pp. 1993-2012

- Ahoora Rostamian, John O’Hara and Delaram Jarchi
- Unveiling the Efficiency Black Box of Chinese Commercial Banks through the Lens of ESG pp. 2013-2042

- Li Yang, Shiying Chen, Yung-ho Chiu and Tzu-Han Chang
- Dynamic Spillover Effect Among Carbon Markets and Green Energy Sector: New Evidence from Complex Network Perspective pp. 2043-2071

- Guiyuan Fu, Xingling Xiao, Yupu Zhang, Xuechen Zheng, Jiayu Wang, Xin Yan and Hejun Liang
- Conjugation of Artificial Neural Networks with Nature-Inspired Optimization Algorithms for Predicting the Economic Growth of the Top Oil-Producing Countries in Africa pp. 2073-2110

- Bello Sani Yahaya, Sagiru Mati, Demet Beton Kalmaz and Isah Wada
- Identification of the Company Groups in Assessing the Risk of Tax Evasion: A Graph Theory Approach pp. 2111-2134

- Tomas Ruzgas, Alina Stundziene, Rozita Susniene, Mantas Lukauskas, Egidijus Sinkevicius, Ieva Staneviciute and Jurgita Arnastauskaite Zenceviciene
- Money Supply, Inflation, and Economic Growth: The Case of the Eurozone (1990–2022) pp. 2135-2170

- Cynthia Tabet, Charbel Tabet and Faten El Chakchouk
- Research on Enterprise Credit Rating Method based on Structural Parameter Co-optimization Convolutional Neural Network pp. 2171-2197

- Xuanyun Liu
- Competitive Bidding Strategy in an Auction with Random Cutoff - Randomness is Always Unpredictable? pp. 2199-2228

- Jin Hyung Lee
- Leveraging Explainable AI, GRU and VAR Based Framework to Uncover Relationships Between Endogenous and Exogenous Volatility Indices for Effective Trading Strategies pp. 2229-2259

- Mohd Raagib Shakeel, Taufeeque Ahmad Siddiqui, Shahzad Alam and Musheer Ahmad
- Crisis, Connectivity, and Market Efficiency: Dynamic Long-memory Networks of G7 and E7 Economies pp. 2261-2291

- Hitesh Kumar Sahu and Avishek Bhandari
- Robust Linear Shrinkage Estimator for Highly Volatile Times pp. 2293-2319

- Sumanjay Dutta and Parthajit Kayal
- Predicting Trends in Digital Financial Inclusion: A Novel Approach Based on Spatial Data Analysis and Graph Convolutional Neural Networks pp. 2321-2356

- Pingfan Xia, Xuhui Zhu, Zhang-hangjian Chen, Feifei Jin and Qizhi He
- Applications of Machine Learning and Deep Learning Algorithms in Financial Fraud Detection: A Review pp. 2357-2392

- Suvasini Panigrahi and Venkata Lakshmi Narayana Gorle
- Heteroskedastic Ordered Probit Models with an Artificial Neural Network for Predicting Potential Consumer Ratings on Amazon Software Reviews pp. 2393-2419

- Jikhan Jeong
- Stock Market Prediction Using Spider Feline Swarm Optimization Based Hybrid Gated Recurrent Unit and Bidirectional LSTM Model pp. 2421-2448

- Eiman Ehtiwsh, Ahmad Alzubi and Kolawole Iyiola
- A New Method to Measure Interest Rate Volatility Based on Interest Rate Futures pp. 2449-2466

- Qi Han, Haipeng Yu and Xinzhou Xia
- Deep Reinforcement Learning for Long-Short Portfolio Optimization pp. 2467-2503

- Gang Huang, Xiaohua Zhou and Qingyang Song
- A Novel Fuzzy Multi-Class Support Vector Machine: An Application to Asset Selection and Portfolio Optimization pp. 2505-2550

- Simrandeep Kaur, Arti Singh and Abha Aggarwal
- VAE-based Multivariate Nowcasting of the Japanese Economy pp. 2551-2581

- Tsubasa Ueda, Kiyoshi Izumi and Yuri Murayama
- Bayesian Networks and Machine Learning Approaches Applied to Social Backwardness pp. 2583-2610

- Jesús Alejandro Navarro-Acosta, Jesús-Adolfo Mejía- de-Dios, José María González Lara and Edgar J. Sanchez Carrera
- Application of Genetic Algorithm in Optimizing Stock Investment Portfolio: Achieving Superior Risk - Return Balance pp. 2611-2632

- Rui Xia, Kaili Wang and Jingjing Wu
- Competition Within Cooperation or Cooperation Within Competition? China’s Deposit Insurance Market and Bio-Inspired Algorithms pp. 2633-2659

- Rongji Zhou, Shuai Yao, Jacky Yuk-Chow So and Qing Wang
- Fraud Activity Detection in Bitcoin Transaction using Adaptive Stacked Gated Recurrent Unit with Attention Mechanism Framework pp. 2661-2697

- S. Ezhilmathi and S. Selvakumara Samy
- Predictive Power of Fuzzy Model vs. Statistical Model: Prediction of Tesla Car Sales pp. 2699-2728

- Simona Hašková, Petr Šuleř and Martin Smrt
- Selective Ensemble Financial Distress Prediction with Improved Discriminant-restricted Boltzmann Machine pp. 2729-2767

- Xiaofang Chen, Zengli Mao and Chong Wu
- Stock Price Prediction With Variational Mode Decomposition, Ecosystem-Based Optimization, and Radial Basis Function Models: Korea Composite Index Insights pp. 2769-2801

- Yun Yang, Hong Liu and Shaoming Yang
- A Decision Support System for Identifying the Existence of Information Asymmetry in Regulated Stock Markets pp. 2803-2833

- Konstantinos Liagkouras and Konstantinos Metaxiotis
Volume 68, issue 2, 2026
- Robust Prediction Intervals for Valuation of Large Portfolios of Variable Annuities: A Comparative Study of Five Models pp. 913-934

- Tingting Sun, Haoyuan Wang and Donglin Wang
- A Full-Fledged Stock Market Prediction Framework using Adaptive TCN with a Bayesian Learning Network via Enhanced Good and Bad Groups-Based Optimizer pp. 935-1001

- Rakesh Roshan, Krishna Kumar N, Supraja Ballari, C Antony, Surya Kiran Chebrolu, Om Prakash Rishi, V Biksham, Kumar Neeraj and Vangapally Raju
- Enhanced Bankruptcy Prediction Model Based on Network Analysis and Explainable Machine Learning pp. 1003-1095

- Saba Taheri Kadkhoda and Babak Amiri
- High-Frequency Trading, Short Squeeze and ARMA-GARCH-Fractal Neural Networks pp. 1097-1154

- David Alaminos, M. Belén Salas-Compás and Estefanía Alaminos
- Imposing Monotonicity in Stochastic Frontier Models: An Iterative Nonlinear Least Squares Procedure pp. 1155-1189

- Federico Belotti and Giancarlo Ferrara
- Cyber Finance Fraud Recognition Method Based on Ensemble Machine Learning pp. 1191-1211

- Jiguang Shi, Shancheng Lin, Ning Ding, Jianfeng Song and Yan Zhai
- VAE-INN: Variational Autoencoder with Integrated Neural Network Classifier for Imbalanced Credit Scoring, Utilizing Weighted Loss for Improved Accuracy pp. 1213-1243

- Dalia Atif
- On the Estimation of Optimal Cutoffs for Power Laws and the Cross Section of Realized Foreign Exchange Rate Variances pp. 1245-1292

- Klaus Grobys
- Robust Quarterly Recession Forecasts of the U. S. Economy pp. 1293-1310

- Rolando F. Peláez
- New Evidence on Nonlinear Causal Relationships between the Cryptocurrency and the Foreign Exchange Markets pp. 1311-1336

- Xunfa Lu, Zhijie Chu, Nicholas Apergis, David Roubaud and Kin Keung Lai
- Time-Varying Connectedness Among Oil Price Shocks, Global Conditions, and Financial Stress in South and Southeast Asian Markets pp. 1337-1377

- Mohammad Hoque, Tahmina Akhter, Faik Bilgili, Md. Akther Uddin and Samiha Binte Tariq
- Watts and Wealth: Forecasting the Economic Pulse of Europe Through Electricity Consumption pp. 1379-1423

- Robin Kunju Mol Raj, Marek Vochozka and Yelyzaveta Apanovych
- Synergistic Optimization of GM(1,1) Model with Buffer Operators and Residual Correction and its Applications pp. 1425-1444

- Chaofeng Shen and Jun Zhang
- A 2D-CNN-LSTM-Based Deep Learning Model for Forex Price Prediction using Lag Features pp. 1445-1470

- Bilguun Narmandakh, Yuming Zhang, Zhen Li and Paul Anderson
- A PPP Projects Valuation: Real Options, Competition and Anchoring Bias pp. 1471-1491

- Daniel Anyebe, Antonio Di Bari, Domenico Santoro and Giovanni Villani
- Smart Grid Real-time Pricing for Multitype Users: A Multi-agent DQL-MHA-PER Algorithm for Welfare Equilibrium pp. 1493-1538

- Haixiao Song, Zhongqing Wang and Yan Gao
- Determining a Credit Transition Matrix from Cumulative Default Probabilities. An Entropy Minimization Approach pp. 1539-1555

- Henryk Gzyl and Silvia Mayoral
- Differential Game Analysis of University-Enterprise Co-innovation in General Purpose Technologies Innovation Based on Resource Complementation and Collaborative R&D pp. 1557-1599

- Yucai Jia, Xiaohu Zhou, Guiyang Zhang, Yue Sui and Lixin Li
- Game-Theoretic Pricing Model for Data Service Products from the Perspective of Consumer Heterogeneity pp. 1601-1630

- Shuchu Xiong, Han Meng and Zhiyong Zeng
- Tail Dependence in Foreign Exchange Market Pressure: A Quantile GMM and Bayesian Diffusion-Regression State-Space Approach pp. 1631-1657

- Oleg Mariev, Suleiman Mamman and Jamilu Iliyasu
- Cumulative-Parisian Option Pricing in Uncertainty Theory pp. 1659-1684

- Zhihan Shi, Yaodong Ni and Xiangfeng Yang
- Can Investors Profit from Measuring Stock Liquidity with Ordered Fuzzy Numbers? pp. 1685-1723

- Szymon Stereńczak and Adam Marszałek
- The Impact and Prediction of Investor Sentiment on Stock Market Returns: Evidence from Multisource Heterogeneous Data pp. 1725-1754

- Fengfeng Gao, Yu Gao and Zong Wang
- Precision Cryptocurrency Forecasting: A Hybrid Copula-Temporal Fusion Approach with Environmental and Economic Insights pp. 1755-1782

- Imran Ali Khan and Sami Ur Rahman
- Correction to: Precision Cryptocurrency Forecasting: A Hybrid Copula-Temporal Fusion Approach with Environmental and Economic Insights pp. 1783-1783

- Imran Ali Khan and Sami Ur Rahman
- Ensemble Learning for Foreign Exchange Market Trend Prediction pp. 1785-1800

- Ekla Njoki, Jael Sanyanda Wekesa and Denis Gitari Njagi
- Leveraging Wavelet Transform & Deep Learning for Option Price Prediction: Insights from the Indian Derivative Market pp. 1801-1814

- Akanksha Sharma and Chandan Kumar Verma
- Deep Learning Predictions for Bitcoin Market Price and Illegitimate Activity Classification pp. 1815-1843

- Mai Ramadan Ibraheem, Esraa Hassan, Sarah A. Abed, Israa S. Kamil and Fatma M. Talaat
- Using Machine Learning To Decode the Impact of Financial Performance on ESG: Evidence from China pp. 1845-1870

- Zhenghao Chang
- Inflation Target Credibility and Inflation Regimes in a Heterogeneous Agent-Based Model pp. 1871-1888

- Emiliano Alvarez
Volume 68, issue 1, 2026
- Signing Off pp. 1-5

- Hans M. Amman
- Decomposition-Ensemble Approach for Realized Volatility Prediction pp. 7-59

- John Kamwele Mutinda and Li Yong
- Enhancing Stock Price Forecasting with Deep Learning: Insights from the Saudi Stock Market pp. 61-109

- Rana Baamer and Hamoud Aljamaan
- Principal Component Copulas for Capital Modelling and Systemic Risk pp. 111-141

- K. B. Gubbels, J. Y. Ypma and C. W. Oosterlee
- SDPDmod: An R Package for Spatial Dynamic Panel Data Modeling pp. 143-156

- Rozeta Simonovska
- An Intuitionistic Fuzzy Gaussian Process Regression Function Approach for Forecasting Problem pp. 157-174

- Erdinc Yucesoy, Erol Egrioglu and Eren Bas
- Second-Order Asymptotic Pricing of Bivariate Options Under the General Stochastic Volatility Jump-Diffusion Model pp. 175-226

- Wang Libin and Liu Lixia
- Solving Multiple Discretization Portfolio Optimization Problem with Quantum-Classical Hybrid Algorithms pp. 227-256

- Haijing Wei, Yanbo J. Wang, Haoxiang Yang, Xuan Yang, Mingming Cao, Qi Xu, Minglei Cai, Yiduo Wang, Zhichao Mao, Xiaofeng Cao, Quanxin Mei, Jie Wang, Xiaojun Zhou, Lin Yao and Wending Zhao
- Forecasting Global CO2 Emissions Under Economic, Geopolitical, and Policy Uncertainties: A Novel Hybrid Model pp. 257-305

- İhsan Erdem Kayral, Melike Aktaş Bozkurt, Tuğba Sarı and Nisa Şansel Tandoğan Aktepe
- A New Perspective for Financial Option Pricing with New Dynamic Solutions of the Black-Scholes Equation pp. 307-333

- Betül Koc, Kasirga Yildirak and Asıf Yokus
- Modelling Causality for Foreign Direct Investment with Hybrid TCDF-Bradford-Hill Criteria pp. 335-359

- Vladas Verkelis, Mantas Landauskas and Jurgita Bruneckienė
- MIDAS Regression: A New Horse in the Race of Macroeconomic Time Series Filtering pp. 361-399

- Michal Benčík
- An Automated Market Maker Algorithm for Fixed-Rate Trading with Flexible Maturities pp. 401-435

- Tuan Tran and Duc A. Tran
- Geopolitical Risk, Military Expenditure, and Inflation Linkage in Türkiye: Insights from Wavelet-Partial Coherence Analysis pp. 437-455

- Gökhan Çobanoğulları
- Dynamic Neuroplastic Networks for Financial Decision Making: A Self-Adaptive Approach for Mitigating Catastrophic Forgetting in Continual Learning pp. 457-474

- Shafeeq Ur Rahaman
- Domain Knowledge Matters: Evidence from Bank Failure Rate Predictions with Machine Learning pp. 475-488

- Ujjal K. Chatterjee and Joseph J. French
- Agent-Based Models for Simulating Consumer-led Innovation: Pathways to Dual Upgrading in China's Economic Development Strategy pp. 489-521

- Feng Chen and Wentao He
- Predicting Stock Prices Based on Machine Learning to Build Self-adaptive Trading Strategy pp. 523-547

- Yang Wang, Peng Huang and Jianwen Luo
- Electricity Price Prediction using Artificial Neural Network Models: A New and Comparative Analysis with Diverse Industry Production Indices pp. 549-577

- Ayben Koy and Andaç Batur Çolak
- Nature-Inspired Artificial Neural Network Integrated with Hybrid Firefly and Particle Swarm Optimisation: A Novel Approach for Modelling the Eurozone Financial Stress Index for Macroeconomic Policy pp. 579-598

- Munir Abdulsaleh and Murad Bein
- A Fake News Detection Method Tailored for Financial Regulatory Agencies pp. 599-620

- Hongting Fan, Li Xue and Bo Zhao
- When Positive Sentiment is not so Positive: Textual Analytics and Bank Failures pp. 621-661

- Aparna Gupta, Cheng Lu, Majeed Simaan and Mohammed J. Zaki
- Contemporary Approaches to Hybrid Forecasting pp. 663-705

- Ugur Sener and Salvatore Joseph Terregrossa
- Enhancing Insurance Fraud Detection Accuracy with Integrated Machine Learning and Statistical Methods pp. 707-738

- Ahmed Abdelreheem Khalil
- Improving Portfolio Optimization Results with Bandit Networks pp. 739-778

- Gustavo de Freitas Fonseca, Lucas Coelho e Silva and Paulo André Lima de Castro
- Enhancing Fraud Detection in Credit Card Transactions: A Comparative Study of Machine Learning Models pp. 779-805

- Masad A. Alrasheedi
- Finite Element Method for HJB in Option Pricing with Stock Borrowing Fees pp. 807-824

- Rakhymzhan Kazbek and Aidana Abdukarimova
- Central Bank Communication, Economic Policy Uncertainty, and Financial Market Volatility: A Time-Varying Perspective on Chinese Markets pp. 825-861

- Juan Meng, Bin Mo and Shaokai Ding
- Financial Inclusion’s Impact on Economic Growth: D7 vs. E7 Unveiled with FsQCA pp. 863-885

- Farah Naz, Sitara Karim and Naila Sadiq
- Optimizing Rank-Dependent Utility Theory Computations: Algorithm Analysis with Applications to Firm Hedging Strategies pp. 887-911

- Martín Egozcue and Luis Fuentes García
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