Computational Economics

Papers
(The TQCC of Computational Economics is 2. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Numerically Pricing Nonlinear Time-Fractional Black–Scholes Equation with Time-Dependent Parameters Under Transaction Costs112
Operator Splitting Method to Solve the Linear Complementarity Problem for Pricing American Option: An Approximation of Error59
Research on the Optimization of Commercial Bank Technology Credit Asset Portfolio Model Under Fractal Distribution41
Estimation of Models for Stock Returns36
Hedge Effectiveness of the Credit Default Swap Indices: a Spectral Decomposition and Network Topology Analysis34
A General Inferential Framework for Singly-Truncated Bivariate Normal Models with Applications in Economics34
On the Optimal Size and Composition of Customs Unions: An Evolutionary Approach29
Autoregressive Random Forests: Machine Learning and Lag Selection for Financial Research28
Comparative Analysis of Turkish and German Stock-Markets as a Hedge Product Against Inflation by Using Machine Learning Algorithms28
Disentangling Shareholder Risk Aversion from Leverage-Dependent Borrowing Cost on Corporate Policies28
Numerical Solution of Passport Option Pricing Problem with Polynomial Neural Networks24
Optimization of Asset Allocation and Liquidation Time in Investment Decisions with VaR as a Risk Measure22
Use of Econometric Predictors and Artificial Neural Networks for the Construction of Stock Market Investment Bots20
Volatility Dynamics and Mixed Jump-GARCH Model Based Jump Detection in Financial Markets19
Systematic Research on Multi-dimensional and Multiple Correlation Contagion Networks of Extreme Risk in China’s Banking Industry19
Deep Learning for Solving and Estimating Dynamic Macro-finance Models18
Dynamics in Realized Volatility Forecasting: Evaluating GARCH Models and Deep Learning Algorithms Across Parameter Variations17
Detection of Uncertainty Events in the Brazilian Economic and Financial Time Series17
Research on the Operation, Market and ESG Efficiency of China's Local Commercial Banks in the Context of COVID-1917
Transactions Market in Bitcoin: Empirical Analysis of the Demand and Supply Block Space Curves17
Navigating Market Risks in Green Investments in India: An Evaluation of Interest Rate, Equity, Commodity, and Forex Market Influences17
An Automated Market Maker Algorithm for Fixed-Rate Trading with Flexible Maturities16
A Bayesian Time-Varying Coefficient Model for Cobb–Douglas Production Function16
On Forecasting Realized Volatility for Bitcoin Based on Deep Learning PSO–GRU Model16
Preference Dynamics: A Procedurally Rational Model of Time And Effort Allocation16
Risk Evaluation and Early Warning Study on Supply of Critical Minerals for China's Chip Industry16
Non-linear Phillips Curve for India: Evidence from Explainable Machine Learning14
A Novel Hybrid Model by Integrating Gated Recurrent Unit Network with Weighted Error-Based Fuzzy Candlestick Model for Stock Market Forecasting14
A Novel Pythagorean Approach Based Sine-Shaped Fuzzy Data Envelopment Analysis Model: An Assessment of Indian Public Sector Banks14
Using CNN to Model Stock Prices13
The Model Dimensionality and Its Impacts on the Strategic and Policy Outcomes in IAMs the Findings from the RICE2020 Model13
Threshold Moving Approach with Logit Models for Bankruptcy Prediction13
A New Look at Cross-Country Aggregation in the Global VAR Approach: Theory and Monte Carlo Simulation13
Numerical Solution for a Time-Fractional Black-Scholes Model Describing European Option13
Realized Volatility Forecasting for Stocks and Futures Indices with Rolling CEEMDAN and Machine Learning Models13
Developing a New Multidimensional Index of Bank Stability and Its Usage in the Design of Optimal Policy Interventions13
Electricity Price Prediction using Artificial Neural Network Models: A New and Comparative Analysis with Diverse Industry Production Indices13
Stochastic Default Risk Estimation Evidence from the South African Financial Market12
Is Default Risk Contagious? Evidence from Global Energy Leaders and Environmentally Conscious Energy Firms12
On the Replication of the Pre-kernel and Related Solutions12
Time–Frequency Connectedness Among NFT Assets11
COVID-19 and REITs Crash: Predictability and Market Conditions11
Does Environmental Decentralisation Affect Industry Green Economy Efficiency? The Moderating Effect of the Institutional Environment11
Numerical Solution of Time-Fractional Black–Scholes PDE by Non-symmetric Interior Penalty Galerkin Method11
Research on ESG Investment Efficiency Regulation from the Perspective of Reciprocity and Evolutionary Game10
Correction to: OG‑CAT: A Novel Algorithmic Trading Alternative to Investment in Crypto Market10
A Novel Prediction Model: ELM-ABC for Annual GDP in the Case of SCO Countries10
Implementing a Hierarchical Deep Learning Approach for Simulating Multilevel Auction Data10
Geopolitical Risk, Military Expenditure, and Inflation Linkage in Türkiye: Insights from Wavelet-Partial Coherence Analysis10
Catalyzing Sustainable Investment: Revealing ESG Power in Predicting Fund Performance with Machine Learning10
Improving Sliding Window Effect of LSTM in Stock Prediction Based on Econometrics Theory10
A New Neural Network Approach for Predicting the Volatility of Stock Market10
An Integrated Framework for Volatility Prediction: Leveraging Decomposition Techniques with Realized GARCH Models9
Spatial Interactions and the Spread of COVID-19: A Network Perspective9
Comparing the Mixed Logit Estimates and True Parameters under Informative and Uninformative Heterogeneity: A Simulated Discrete Choice Experiment9
Copper Price Forecasting Based on Improved Least Squares Support Vector Machine with Butterfly Optimization Algorithm9
Trading Strategy Model Based on Dynamic Programming9
Two-Population Evolutionary Oligopoly with Partial Cooperation and Partial Hostility9
Competitive Pricing Using Model-Based Bandits9
The Effect of News Photo Sentiment on Stock Price Crash Risk Based on Deep Learning Models9
Mortgage Loan Data Exploration with Non-parametric Statistical and Machine Learning Perspectives8
Does the Real Business Cycle Help Forecast the Financial Cycle?8
Artificial Factors Within the Logit Bankruptcy Model with a Moved Threshold8
Improving Portfolio Optimization Results with Bandit Networks8
Dynamic Analysis of Bitcoin Price Under Market News and Sentiments and Government Support Policies8
Explore the Impact Mechanism of Block Chain Technology on China's Carbon Market8
Singular Stochastic Differential Equations for Time Evolution of Stocks Within Non-white Noise Approach8
A Novel Hybrid Ensemble Framework for Stock Price Prediction: Combining Bagging, Boosting, Dagging, and Stacking8
Accurate and Efficient Finite Difference Method for the Black–Scholes Model with No Far-Field Boundary Conditions8
A Synthetic Data-Plus-Features Driven Approach for Portfolio Optimization8
Optimal Incentives for Eco-Environment-Oriented Development of Disused Mines Based on Differential Games: Ecological Rehabilitation Compensation or Carbon Quota Exchange7
Feature Expansion Effect Approach for Improving Stock Price Prediction Performance7
The Impact of Wealth Inequality on Economic Growth: A Machine Learning Approach7
Modelling Mixed-Frequency Time Series with Structural Change7
Forecasting China’s Short-Term Energy Futures Price Using a Novel Secondary Decomposition-Optimized System7
Efficient Market Hypothesis Versus Multifractality: Evidence from the Stablecoin Market7
Correction to: The Spherical Parametrisation for Correlation Matrices and its Computational Advantages7
Role of Economic Policy Uncertainty in Energy Commodities Prices Forecasting: Evidence from a Hybrid Deep Learning Approach7
Decentralized Online Portfolio Selection with Transaction Costs7
Heterogeneous Entrepreneurial Will and Aggregate Fluctuations: A Reassessment of the Standard Keynesian Macro Model7
Going a Step Deeper Down the Rabbit Hole: Deep Learning Model to Measure the Size of the Unregistered Economy Activity7
The Effect of the Interest Rate on a Credit System7
Bitcoin Price Prediction Using Sentiment Analysis and Empirical Mode Decomposition7
Explaining Mortgage Defaults Using SHAP and LASSO6
Explaining the Stylized Facts of Foreign Exchange Markets with a Simple Agent-based Version of Paul de Grauwe’s Chaotic Exchange Rate Model6
Determinants and Pathways for Inclusive Growth in China: Investigation Based on Artificial Intelligence (AI) Algorithm6
Research of Dempster-Shafer’s Theory and Ensemble Classifier Financial Risk Early Warning Model Based on Benford’s Law6
Predicting Credit Default Risk Crisis of Government Implicit Debt: An Interpretable Machine Learning Approach6
The Asymmetric Effect of COVID-19 Pandemic on the US Market Risk Premium: Evidence from AEGAS-M Model6
Deep Learning Model for Fusing Spatial and Temporal Data for Stock Market Prediction6
Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches6
Building Automated Computational Models for Predicting Energy Consumption in High-Performance Concrete Production6
Is cryptocurrency Efficient? A High-Frequency Asymmetric Multifractality Analysis6
Bayesian Quantile Regression Analysis for Bivariate Vector Autoregressive Models with an Application to Financial Time Series6
A Dynamic Mechanism Design for Controllable and Ergodic Markov Games6
Horizon-Adaptive Extreme Risk Quantification for Cryptocurrency Assets6
Building Technical Analysis Strategies Using Multivariate Longitudinal and Time-to-Event Data in Stock Markets6
Portfolio Optimization During the COVID-19 Epidemic: Based on an Improved QBAS Algorithm and a Dynamic Mixed Frequency Model6
Trading Signal Survival Analysis: A Framework for Enhancing Technical Analysis Strategies in Stock Markets6
A K-line Pattern Combinations Stock Return Prediction Method Using Deep Deterministic Policy Gradient6
Moran Evolution Analysis of Enterprise Technological Innovation, Transformation and Upgrading Strategy in the Digital Economy6
American Option Valuation Under the Framework of CGMY Model with Regime-Switching Process6
Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model6
MLSC: A Multi-label Stock Classifier for Multi-horizon Stock Trend Prediction5
Interacting Cobweb Demands5
Increasing the Hong Kong Stock Market Predictability: A Temporal Convolutional Network Approach5
Generalized, Partial and Canonical Correlation Coefficients5
Pricing of Vulnerable Timer Options5
Dynamic Neuroplastic Networks for Financial Decision Making: A Self-Adaptive Approach for Mitigating Catastrophic Forgetting in Continual Learning5
Random Forests with Economic Roots: Explaining Machine Learning in Hedonic Imputation5
Statistical Evaluation of Deep Learning Models for Stock Return Forecasting5
Stability and Error Estimates of Operator Splitting Methods on a Variable Space-Time Grid for American Options with Jumps5
Financial Time Series Prediction Using Pelican Optimized Extreme Learning Machine with Reduced Weights5
Investigating the Asymmetric Behavior of Oil Price Volatility Using Support Vector Regression5
Stochastic Exchange Rate Dynamics, Intervention Dynamics and the Market Efficiency Hypothesis5
Parallel Computation of Sovereign Default Models5
Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering5
Integrating Weak Aggregating Algorithm and Reinforcement Learning for Online Portfolio Selection: The WARL Strategy5
Estimating Input Coefficients for Regional Input–Output Tables Using Deep Learning with Mixup5
Optimal Time Varying Parameters in Yield Curve Modeling and Forecasting: A Simulation Study on BRICS Countries5
Examining the dynamic efficiency of NASDAQ insurance stock markets before and after the March 2020 crash5
Deciphering the Influence of the Tone of Management Discussion and Analysis on Corporate Innovation: Integrating Textual Analysis with Empirical Corporate Data5
Computing Longitudinal Moments for Heterogeneous Agent Models5
Solving Linear DSGE Models with Bernoulli Iterations5
Contemporary Approaches to Hybrid Forecasting5
Should the Occupational Pension Plans’ Investment be Long-Term or Short-Term? Evidence from China5
Carbon Taxes and Inflationary Pressures: A DSGE Exploration of Economic Responses and Macroeconomic Challenges4
Opinion Dynamics with Preference Matching: How the Desire to Meet Facilitates Opinion Exchange4
We-media Advertising Investment Strategy of Enterprises in the Mobile Internet Environment4
Decentralized Storage Cryptocurrencies: An Innovative Network-Based Model for Identifying Effective Entities and Forecasting Future Price Trends4
A Novel Mean–Variance-Entropy Portfolio with Two-Parameter Coherent Triangular Intuitionistic Fuzzy Number4
Do Bitcoin ETFs Lead Price Discovery Following their Introduction in the Bitcoin Market?4
Editorial to the Special Issue on Game Theory4
An Efficient IMEX Compact Scheme for the Coupled Time Fractional Integro-Differential Equations Arising from Option Pricing with Jumps4
GPS data Mining at Signalized Intersections for Congestion Charging4
A Comparison of Different Rules on Loans Evaluation in Peer-to-Peer Lending by Gradient Boosting Models Under Moving Windows with Two Timestamps4
Real-Time Forecast of BIST100 Index Under Market Volatility and Uncertainty4
Asset Prices with Investor Protection in the Cross-Sectional Economy4
Evaluation of Non-survey Methods for the Construction of Regional Input–Output Matrices When There is Partial Historical Information4
Exploring Nexus Between Oil Price Shocks and Copper Production: Analysing the Role of Mineral Prices and Geopolitical Factors in Saudi Arabia4
Forecasting Global CO2 Emissions Under Economic, Geopolitical, and Policy Uncertainties: A Novel Hybrid Model4
Predicting the Brazilian Stock Market with Sentiment Analysis, Technical Indicators and Stock Prices: A Deep Learning Approach4
Investor Structure and Corn Futures Price Volatility in China: Evidence Based on the Agent-Based Model4
Robust Portfolio Optimization Based on Semi-Parametric ARMA-TGARCH-EVT Model with Mixed Copula Using WCVaR4
Grain Price Fluctuation: A Network Evolution Approach Based on a Distributed Lag Model4
GARCHNet: Value-at-Risk Forecasting with GARCH Models Based on Neural Networks4
Panel Interval-Valued Data Nonlinear Regression Models and Applications4
Simulating and Pricing CAT Bonds Using the Spectral Method Based on Chebyshev Basis4
Second-Order Asymptotic Pricing of Bivariate Options Under the General Stochastic Volatility Jump-Diffusion Model4
Correction to: Navigating Market Risks in Green Investments in India: an Evaluation of Interest Rate, Equity, Commodity, and Forex Market Influences4
Forecasting Bitcoin Volatility and Value-at-Risk Using Stacking Machine Learning Models With Intraday Data4
An Examination of Alternative LQ-Based Approaches to Computing Regional Input–Output Coefficients4
An Analysis of the Temporal Impact of Investor Sentiment and Attention on Stock Liquidity Using Deep Learning3
Correlation Structure of the Spanish Stock Market Around COVID-19 Using Random Matrix Theory3
System Dynamics Modeling and Analysis of New Mexico Oil Production and Taxation3
The European Gas Market Integration During 2018–20243
A Discourse Analysis of Tweets and Its Implications for Cryptocurrency Prices and Trade Volumes3
Forecasting Crude Oil Prices: Evidence From WOA-VMD-FE-Transformer Model3
Correction: Non‑linear Cointegration Test, Based on Record Counting Statistic3
Market Ecology: Trading Strategies and Market Volatility3
Finding the Impact of Market Visibility and Monopoly on Wealth Distribution and Poverty Using Computational Economics3
A Novel High Dimensional Fitted Scheme for Stochastic Optimal Control Problems3
Simultaneous Confidence Intervals for Multi-way Clustered Stock Return Data3
Machine Learning XAI for Early Loan Default Prediction3
Introducing a Nonlinear Macroeconomic Model Based on TE, SINDYC, and Phase Plane Analysis3
Dynamic Interlinkages between the Twitter Uncertainty Index and the Green Bond Market: Evidence from the Covid-19 Pandemic and the Russian-Ukrainian Conflict3
ARDL: An R Package for ARDL Models and Cointegration3
Time–Frequency Connectedness Between Oil Price Shocks and Stock Returns Under Bullish and Bearish Market States: Evidence from African Oil Importers and Exporters3
Correction to: A Smooth Transition Autoregressive Model for Matrix-Variate Time Series3
The Factors Influencing China’s Population Distribution and Spatial Heterogeneity: Based on Multi-source Remote Sensing Data3
Computing Quantiles of Functions of the Agent Distribution Using t-Digests3
Portfolio with Copula-GARCH and Black-Litterman Model Using a Novel View Error Matrix3
A Hybrid Parallel Processing Strategy for Large-Scale DEA Computation3
Perturbating and Estimating DSGE Models in Julia3
A Convergent Fourth-Order Finite Difference Scheme for the Black–Scholes Equation3
Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy3
Evaluating Bank Efficiency with Risk Management by Optimal Common Resource and Three-Parallel Two-Stage Dynamic DEA Model3
Enhancing Stock Price Forecasting with Deep Learning: Insights from the Saudi Stock Market3
Application of the Deep Learning Integrated Framework CEEMDAN-GRU-Informer in Financial Time Series Prediction3
Robust Portfolio Optimization via Linear Deviation Risk Measures3
Age Specific Multi-Stage OLG Model for PAYG Pension Schemes3
When Firms Make Decisions: A New Constant Relative Risk Aversion Approach3
Decomposition-Ensemble Approach for Realized Volatility Prediction3
Asymmetric shock persistence in the OECD Stock Exchanges: New Insight from Quantile Exponential Smooth Transition Autoregression Approach3
Enhancement of Neural Networks Model’s Predictions of Currencies Exchange Rates by Phase Space Reconstruction and Harris Hawks’ Optimization3
Study on the Improvement of Carbon Trading Mechanism and Integration of Low Carbon Energy System under Bi-Level Optimal Dispatch Strategy3
Accuracy in Recursive Minimal State Space Methods3
How does Digital Technology Influence Natural Resource Use: A Global Perspective3
Approximate Bayesian Estimation of Stochastic Volatility in Mean Models Using Hidden Markov Models: Empirical Evidence from Emerging and Developed Markets3
Impact of Macroeconomics Factors on Cryptocurrency Pricing: Evidence from Bitcoin and Ethereum Markets3
Analysis of Gold, Bitcoin, and Gold-Backed Cryptocurrencies as Safe Havens during Global Crises: A Focus on Artificial Intelligence Companies3
Option Valuation with Conditional Heteroskedastic Hidden Truncation Models3
Vine Copula Approach to Understand the Financial Dependence of the Istanbul Stock Exchange Index3
The Tourism Industry’s Performance During the Years of the COVID-19 Pandemic3
Forecasting High Frequency Order Flow Imbalance using Hawkes Processes3
A Synergetic Approach to Ethereum Option Valuation Using XGBoost and Soft Reordering 1D Convolutional Neural Networks3
An Efficient Numerical Method Based on Exponential B-splines for a Time-Fractional Black–Scholes Equation Governing European Options3
Applying Multi-Critic Deep Deterministic Policy Gradient for Effective Selection of Macroeconomic Announcements in Forex Trading3
Estimation of Rank-Ordered Regret Minimization Models3
Generalized Shifted Chebyshev Polynomials for Time Fractional Black-Scholes Model3
Pricing Convertible Bonds Based on GAN and Transformer3
Controlling Heterogeneous Structure of Smooth Breaks in Panel Unit Root and Cointegration Testing3
Portfolio Selection Based on EMD Denoising with Correlation Coefficient Test Criterion3
Asymptotic Dynamics in a Multi-market Delayed Cobweb Model3
Deep Kusuoka Approximation: High-Order Spatial Approximation for Solving High-Dimensional Kolmogorov Equations and Its Application to Finance3
Importance Sampling for Calculating the Value-at-Risk and Expected Shortfall of the Quadratic Portfolio with t-Distributed Risk Factors3
Bayesian Network in Machine Learning: An Empirical Investigation to Assess the Price Clustering Model During Crises3
Application of a Dual-Stream Hybrid Network for Exchange Rate Prediction3
Comparison of Value at Risk (VaR) Multivariate Forecast Models3
Stationary Markov Equilibrium Strategies in Stochastic Games: Existence and Computation3
Preference-based Segments from Mixed Logit, Latent Class, and Latent Class Mixed Logit Models: A Monte Carlo Comparison3
Unleashing the Potential of Mixed Frequency Data: Measuring Risk with Dynamic Tail Index Regression Model3
Dynamics of Firm’s Investment in Education and Training: An Agent-based Approach3
The Risk Transmission Mechanism of Global Stock Markets from the Perspective of Entropy-Riemann Geometry: Theoretical Construction and Empirical Analysis3
A Time-Dependent Markovian Model of a Limit Order Book3
Neural Network for Valuing Bitcoin Options Under Jump-Diffusion and Market Sentiment Model3
Analyzing Stationarity in World Coffee Prices3
Panel Stochastic Frontier Analysis with Positive Skewness3
Two-Stage Hybrid Feature Selection Approach Using Levy’s Flight Based Chicken Swarm Optimization for Stock Market Forecasting2
Hopf Bifurcation Analysis in a Business Cycle Model with Gamma-Type Distributed Time Delay2
Identifying Safe Haven Assets: Evidence from Fractal Market Hypothesis2
Computing Competitive Equilibrium in Simplex Economies2
RMB Exchange Rate Forecasting Model and Economic Factor Analysis Based on CEEMD Decomposition2
Correction to: Size‑Dependent Enforcement, Tax Evasion and Dimensional Trap2
Multi-scale Dynamic Correlation Between Climate Shock and China's Stock Market: Evidence Based on High Frequency Data2
Deep Learning for Spatial Additive Stochastic Frontier Model with Nonparametric Spatial Effects2
Comparison of the Performance of Structural Break Tests in Stationary and Nonstationary Series: A New Bootstrap Algorithm2
Quarterly Data Forecasting Method Based on Extended Grey GM(2, 1, Σsin) Model and Its Application in China’s Quarterly GDP Forecasting2
Gasoline and Crude Oil Price Prediction using Multi-headed Variational Neighbour Search-tuned Recurrent Neural Networks2
Is the Price of Ether Driven by Demand or Pure Speculation?2
Analysis of Internet Financial Risks Based on Deep Learning and BP Neural Network2
Option Pricing and Parameter Estimation for Uncertain Mean-Reverting Currency Model2
Internal Rate of Return Estimation of Subsidised Projects: Conventional Approach Versus fuzzy Approach2
Correction To: Time–Frequency Connectedness Among NFT Assets2
Memory Persistence in Minute Frequency Cryptocurrencies: Analysis Based on Hurst-Exponent and LSTM Brownian Diffusion Network2
The Impact of News-Based and Twitter-Based Economic Uncertainty on Realized Volatility: Asymmetric Effect with Threshold Quantile ARX Model2
Analysis of Tax Evasion Dynamics using the Genocchi Wavelet Method2
Headline-Driven Classification and Local Interpretation for Market Outperformance and Low-Risk Stock Prediction2
High-Dimensional Dynamic Panel with Correlated Random Effects: A Semiparametric Hierarchical Empirical Bayes Approach2
Predicting Natural Gas Prices Based on a Novel Hybrid Model with Variational Mode Decomposition2
Spatiotemporal Analysis of Coupling-Coordination Between Developments of Economic High-Quality and Ecological Innovation of China’s Inter-Provinces2
Towards a Validation Methodology for Macroeconomic Agent-Based Models2
Research on the Effects of Liquidation Strategies in the Multi-asset Artificial Market2
Forecasting the Stock Price of Listed Innovative SMEs Using Machine Learning Methods Based on Bayesian optimization: Evidence from China2
Dynamic Multilayer Network for Systemic Risk and Bank Regulation Based on CDS2
Object Oriented (Dynamic) Programming: Closing the “Structural” Estimation Coding Gap2
Exchange Rate Forecasting Based on Integration of Gated Recurrent Unit (GRU) and CBOE Volatility Index (VIX)2
Systemic Financial Risk of Stock Market Based on Multiscale Networks2
Rational Spectral Collocation Method for Solving Black-Scholes and Heston Equations2
Prediction of Bank Systemic Risk Based on LSTM Model2
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