Computational Economics

Papers
(The median citation count of Computational Economics 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 2022-01-01 to 2026-01-01.)
ArticleCitations
An Automated Market Maker Algorithm for Fixed-Rate Trading with Flexible Maturities133
Estimation of Models for Stock Returns61
A General Inferential Framework for Singly-Truncated Bivariate Normal Models with Applications in Economics48
Operator Splitting Method to Solve the Linear Complementarity Problem for Pricing American Option: An Approximation of Error44
On the Optimal Size and Composition of Customs Unions: An Evolutionary Approach44
Dynamics in Realized Volatility Forecasting: Evaluating GARCH Models and Deep Learning Algorithms Across Parameter Variations37
Navigating Market Risks in Green Investments in India: An Evaluation of Interest Rate, Equity, Commodity, and Forex Market Influences33
Optimization of Asset Allocation and Liquidation Time in Investment Decisions with VaR as a Risk Measure33
On the Estimation of Optimal Cutoffs for Power Laws and the Cross Section of Realized Foreign Exchange Rate Variances32
Detection of Uncertainty Events in the Brazilian Economic and Financial Time Series30
Comparative Analysis of Turkish and German Stock-Markets as a Hedge Product Against Inflation by Using Machine Learning Algorithms30
Research on the Optimization of Commercial Bank Technology Credit Asset Portfolio Model Under Fractal Distribution30
Volatility Dynamics and Mixed Jump-GARCH Model Based Jump Detection in Financial Markets29
Determining a Credit Transition Matrix from Cumulative Default Probabilities. An Entropy Minimization Approach29
Deep Learning for Solving and Estimating Dynamic Macro-finance Models26
Transactions Market in Bitcoin: Empirical Analysis of the Demand and Supply Block Space Curves22
Research on the Operation, Market and ESG Efficiency of China's Local Commercial Banks in the Context of COVID-1922
Use of Econometric Predictors and Artificial Neural Networks for the Construction of Stock Market Investment Bots21
Systematic Research on Multi-dimensional and Multiple Correlation Contagion Networks of Extreme Risk in China’s Banking Industry21
Risk Evaluation and Early Warning Study on Supply of Critical Minerals for China's Chip Industry20
Numerical Solution of Passport Option Pricing Problem with Polynomial Neural Networks20
A Novel Data Fusion Method for Multi-Dimensional Temporal Data Forecasting of Financial Homologous19
Measuring Inflation Expectations Using Artificial Intelligence19
Autoregressive Random Forests: Machine Learning and Lag Selection for Financial Research18
On Forecasting Realized Volatility for Bitcoin Based on Deep Learning PSO–GRU Model18
Watts and Wealth: Forecasting the Economic Pulse of Europe Through Electricity Consumption18
Preference Dynamics: A Procedurally Rational Model of Time And Effort Allocation17
A Bayesian Time-Varying Coefficient Model for Cobb–Douglas Production Function16
On the Replication of the Pre-kernel and Related Solutions15
Does Environmental Decentralisation Affect Industry Green Economy Efficiency? The Moderating Effect of the Institutional Environment15
Electricity Price Prediction using Artificial Neural Network Models: A New and Comparative Analysis with Diverse Industry Production Indices15
Numerical Solution of Time-Fractional Black–Scholes PDE by Non-symmetric Interior Penalty Galerkin Method15
Is Default Risk Contagious? Evidence from Global Energy Leaders and Environmentally Conscious Energy Firms14
A New Look at Cross-Country Aggregation in the Global VAR Approach: Theory and Monte Carlo Simulation14
Geopolitical Risk, Military Expenditure, and Inflation Linkage in Türkiye: Insights from Wavelet-Partial Coherence Analysis14
Stochastic Default Risk Estimation Evidence from the South African Financial Market14
Realized Volatility Forecasting for Stocks and Futures Indices with Rolling CEEMDAN and Machine Learning Models13
Improving Sliding Window Effect of LSTM in Stock Prediction Based on Econometrics Theory13
Volatility Spillovers and Hedging Effectiveness of Green Bonds: A Cross-Regional Analysis13
A Novel Hybrid Model by Integrating Gated Recurrent Unit Network with Weighted Error-Based Fuzzy Candlestick Model for Stock Market Forecasting13
Numerical Solution for a Time-Fractional Black-Scholes Model Describing European Option13
A Decision Support System for Identifying the Existence of Information Asymmetry in Regulated Stock Markets13
A Novel Pythagorean Approach Based Sine-Shaped Fuzzy Data Envelopment Analysis Model: An Assessment of Indian Public Sector Banks13
Non-linear Phillips Curve for India: Evidence from Explainable Machine Learning12
Correction to: OG‑CAT: A Novel Algorithmic Trading Alternative to Investment in Crypto Market12
COVID-19 and REITs Crash: Predictability and Market Conditions12
Time–Frequency Connectedness Among NFT Assets12
The Model Dimensionality and Its Impacts on the Strategic and Policy Outcomes in IAMs the Findings from the RICE2020 Model12
Using CNN to Model Stock Prices12
Research on ESG Investment Efficiency Regulation from the Perspective of Reciprocity and Evolutionary Game11
Applications of Machine Learning and Deep Learning Algorithms in Financial Fraud Detection: A Review11
Dynamic Analysis of Bitcoin Price Under Market News and Sentiments and Government Support Policies11
Construction of the Business Cycle by Phase Synchronization and Principal Component Analysis11
Singular Stochastic Differential Equations for Time Evolution of Stocks Within Non-white Noise Approach11
Developing a New Multidimensional Index of Bank Stability and Its Usage in the Design of Optimal Policy Interventions11
Threshold Moving Approach with Logit Models for Bankruptcy Prediction11
Catalyzing Sustainable Investment: Revealing ESG Power in Predicting Fund Performance with Machine Learning11
Implementing a Hierarchical Deep Learning Approach for Simulating Multilevel Auction Data11
Artificial Factors Within the Logit Bankruptcy Model with a Moved Threshold10
Deep Reinforcement Learning for Long-Short Portfolio Optimization10
Explore the Impact Mechanism of Block Chain Technology on China's Carbon Market10
Correction to: Precision Cryptocurrency Forecasting: A Hybrid Copula-Temporal Fusion Approach with Environmental and Economic Insights10
Identification of the Company Groups in Assessing the Risk of Tax Evasion: A Graph Theory Approach10
An Integrated Framework for Volatility Prediction: Leveraging Decomposition Techniques with Realized GARCH Models10
Mortgage Loan Data Exploration with Non-parametric Statistical and Machine Learning Perspectives10
Two-Population Evolutionary Oligopoly with Partial Cooperation and Partial Hostility10
Spatial Interactions and the Spread of COVID-19: A Network Perspective10
The Effect of News Photo Sentiment on Stock Price Crash Risk Based on Deep Learning Models9
Copper Price Forecasting Based on Improved Least Squares Support Vector Machine with Butterfly Optimization Algorithm9
Examining Challenges in Implied Volatility Forecasting: A Critical Review of Data Leakage and Feature Engineering combined with High-Complexity Models9
Accurate and Efficient Finite Difference Method for the Black–Scholes Model with No Far-Field Boundary Conditions9
Competitive Pricing Using Model-Based Bandits9
Trading Strategy Model Based on Dynamic Programming9
FEIS: A Credit Risk Assessment Model Combining Feature Engineering Approach and Interpretable Submodels9
Improving Portfolio Optimization Results with Bandit Networks9
A Novel Prediction Model: ELM-ABC for Annual GDP in the Case of SCO Countries9
Testing the Fractal Market Hypothesis Using MFDFA Across Multiple Asset Classes8
Correction to: The Spherical Parametrisation for Correlation Matrices and its Computational Advantages8
Feature Expansion Effect Approach for Improving Stock Price Prediction Performance8
Research of Dempster-Shafer’s Theory and Ensemble Classifier Financial Risk Early Warning Model Based on Benford’s Law8
A Synthetic Data-Plus-Features Driven Approach for Portfolio Optimization8
A Novel Hybrid Ensemble Framework for Stock Price Prediction: Combining Bagging, Boosting, Dagging, and Stacking8
American Option Valuation Under the Framework of CGMY Model with Regime-Switching Process8
Predicting Credit Default Risk Crisis of Government Implicit Debt: An Interpretable Machine Learning Approach8
Comparing the Mixed Logit Estimates and True Parameters under Informative and Uninformative Heterogeneity: A Simulated Discrete Choice Experiment8
A New Neural Network Approach for Predicting the Volatility of Stock Market8
The Effect of the Interest Rate on a Credit System8
Modelling Mixed-Frequency Time Series with Structural Change8
Role of Economic Policy Uncertainty in Energy Commodities Prices Forecasting: Evidence from a Hybrid Deep Learning Approach7
Dynamic Spillover Effect Among Carbon Markets and Green Energy Sector: New Evidence from Complex Network Perspective7
The Asymmetric Effect of COVID-19 Pandemic on the US Market Risk Premium: Evidence from AEGAS-M Model7
Going a Step Deeper Down the Rabbit Hole: Deep Learning Model to Measure the Size of the Unregistered Economy Activity7
Heterogeneous Entrepreneurial Will and Aggregate Fluctuations: A Reassessment of the Standard Keynesian Macro Model7
Efficient Market Hypothesis Versus Multifractality: Evidence from the Stablecoin Market7
Bitcoin Price Prediction Using Sentiment Analysis and Empirical Mode Decomposition7
The Impact of Wealth Inequality on Economic Growth: A Machine Learning Approach7
Imposing Monotonicity in Stochastic Frontier Models: An Iterative Nonlinear Least Squares Procedure7
Building Automated Computational Models for Predicting Energy Consumption in High-Performance Concrete Production7
Building the Point Forecasting Model for Time Series based on the Improved Fuzzy Relationship and Predictive Principle7
Optimal Incentives for Eco-Environment-Oriented Development of Disused Mines Based on Differential Games: Ecological Rehabilitation Compensation or Carbon Quota Exchange7
Bayesian Quantile Regression Analysis for Bivariate Vector Autoregressive Models with an Application to Financial Time Series7
Is cryptocurrency Efficient? A High-Frequency Asymmetric Multifractality Analysis7
Determinants and Pathways for Inclusive Growth in China: Investigation Based on Artificial Intelligence (AI) Algorithm7
A K-line Pattern Combinations Stock Return Prediction Method Using Deep Deterministic Policy Gradient7
Decentralized Online Portfolio Selection with Transaction Costs7
Forecasting China’s Short-Term Energy Futures Price Using a Novel Secondary Decomposition-Optimized System7
Moran Evolution Analysis of Enterprise Technological Innovation, Transformation and Upgrading Strategy in the Digital Economy7
Explaining the Stylized Facts of Foreign Exchange Markets with a Simple Agent-based Version of Paul de Grauwe’s Chaotic Exchange Rate Model7
Building Technical Analysis Strategies Using Multivariate Longitudinal and Time-to-Event Data in Stock Markets6
Solving Linear DSGE Models with Bernoulli Iterations6
Explaining Mortgage Defaults Using SHAP and LASSO6
Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches6
Portfolio Optimization During the COVID-19 Epidemic: Based on an Improved QBAS Algorithm and a Dynamic Mixed Frequency Model6
A Dynamic Mechanism Design for Controllable and Ergodic Markov Games6
Dynamic Neuroplastic Networks for Financial Decision Making: A Self-Adaptive Approach for Mitigating Catastrophic Forgetting in Continual Learning6
Horizon-Adaptive Extreme Risk Quantification for Cryptocurrency Assets6
Trading Signal Survival Analysis: A Framework for Enhancing Technical Analysis Strategies in Stock Markets6
Optimal Time Varying Parameters in Yield Curve Modeling and Forecasting: A Simulation Study on BRICS Countries6
Contemporary Approaches to Hybrid Forecasting6
MLSC: A Multi-label Stock Classifier for Multi-horizon Stock Trend Prediction6
Random Forests with Economic Roots: Explaining Machine Learning in Hedonic Imputation6
Stability and Error Estimates of Operator Splitting Methods on a Variable Space-Time Grid for American Options with Jumps6
Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model6
Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering5
Estimating Input Coefficients for Regional Input–Output Tables Using Deep Learning with Mixup5
Investigating the Asymmetric Behavior of Oil Price Volatility Using Support Vector Regression5
A Comparison of Different Rules on Loans Evaluation in Peer-to-Peer Lending by Gradient Boosting Models Under Moving Windows with Two Timestamps5
Computing Longitudinal Moments for Heterogeneous Agent Models5
Simulating and Pricing CAT Bonds Using the Spectral Method Based on Chebyshev Basis5
GPS data Mining at Signalized Intersections for Congestion Charging5
Parallel Computation of Sovereign Default Models5
Statistical Evaluation of Deep Learning Models for Stock Return Forecasting5
A New Fractal Method for the Modelling and Analysis of Financial Time Series5
Deep Learning Model for Fusing Spatial and Temporal Data for Stock Market Prediction5
Stochastic Exchange Rate Dynamics, Intervention Dynamics and the Market Efficiency Hypothesis5
Opinion Dynamics with Preference Matching: How the Desire to Meet Facilitates Opinion Exchange5
Evaluation of Non-survey Methods for the Construction of Regional Input–Output Matrices When There is Partial Historical Information5
Increasing the Hong Kong Stock Market Predictability: A Temporal Convolutional Network Approach5
Interacting Cobweb Demands5
Should the Occupational Pension Plans’ Investment be Long-Term or Short-Term? Evidence from China5
Integrating Weak Aggregating Algorithm and Reinforcement Learning for Online Portfolio Selection: The WARL Strategy5
Deciphering the Influence of the Tone of Management Discussion and Analysis on Corporate Innovation: Integrating Textual Analysis with Empirical Corporate Data5
Forecasting Bitcoin Volatility and Value-at-Risk Using Stacking Machine Learning Models With Intraday Data5
Optimizing Multivariate Time Series Forecasting with LSTM: A Hybrid Scaling and Layer Normalization Framework Utilizing Logistic and Sigmoid-Curve transformations for Enhanced Predictive Accuracy5
An Examination of Alternative LQ-Based Approaches to Computing Regional Input–Output Coefficients5
Stationary Markov Equilibrium Strategies in Stochastic Games: Existence and Computation4
Bayesian Network in Machine Learning: An Empirical Investigation to Assess the Price Clustering Model During Crises4
Predicting the Brazilian Stock Market with Sentiment Analysis, Technical Indicators and Stock Prices: A Deep Learning Approach4
Estimation of Rank-Ordered Regret Minimization Models4
Correction: Non‑linear Cointegration Test, Based on Record Counting Statistic4
Examining the dynamic efficiency of NASDAQ insurance stock markets before and after the March 2020 crash4
Option Valuation with Conditional Heteroskedastic Hidden Truncation Models4
Investor Structure and Corn Futures Price Volatility in China: Evidence Based on the Agent-Based Model4
Approximate Bayesian Estimation of Stochastic Volatility in Mean Models Using Hidden Markov Models: Empirical Evidence from Emerging and Developed Markets4
Financial Markets and Individual Attitudes: The Stick-balancing Model4
System Dynamics Modeling and Analysis of New Mexico Oil Production and Taxation4
Financial Time Series Prediction Using Pelican Optimized Extreme Learning Machine with Reduced Weights4
Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy4
GARCHNet: Value-at-Risk Forecasting with GARCH Models Based on Neural Networks4
Forecasting Global CO2 Emissions Under Economic, Geopolitical, and Policy Uncertainties: A Novel Hybrid Model4
Real-Time Forecast of BIST100 Index Under Market Volatility and Uncertainty4
Enhancing Stock Price Forecasting with Deep Learning: Insights from the Saudi Stock Market4
Robust Portfolio Optimization via Linear Deviation Risk Measures4
An Efficient IMEX Compact Scheme for the Coupled Time Fractional Integro-Differential Equations Arising from Option Pricing with Jumps4
Decentralized Storage Cryptocurrencies: An Innovative Network-Based Model for Identifying Effective Entities and Forecasting Future Price Trends4
Portfolio Selection Based on EMD Denoising with Correlation Coefficient Test Criterion4
Deep Kusuoka Approximation: High-Order Spatial Approximation for Solving High-Dimensional Kolmogorov Equations and Its Application to Finance4
Correction to: A Smooth Transition Autoregressive Model for Matrix-Variate Time Series4
Editorial to the Special Issue on Game Theory4
Exploring Nexus Between Oil Price Shocks and Copper Production: Analysing the Role of Mineral Prices and Geopolitical Factors in Saudi Arabia4
Pricing of Vulnerable Timer Options4
Do Bitcoin ETFs Lead Price Discovery Following their Introduction in the Bitcoin Market?4
A Novel Mean–Variance-Entropy Portfolio with Two-Parameter Coherent Triangular Intuitionistic Fuzzy Number4
Dynamic Interlinkages between the Twitter Uncertainty Index and the Green Bond Market: Evidence from the Covid-19 Pandemic and the Russian-Ukrainian Conflict4
Asset Prices with Investor Protection in the Cross-Sectional Economy4
Second-Order Asymptotic Pricing of Bivariate Options Under the General Stochastic Volatility Jump-Diffusion Model4
Applying Multi-Critic Deep Deterministic Policy Gradient for Effective Selection of Macroeconomic Announcements in Forex Trading4
A Discourse Analysis of Tweets and Its Implications for Cryptocurrency Prices and Trade Volumes4
Implicit-Explicit Local Radial Point Interpolation Methods for Pricing Options with Liquidity Shocks4
Britaly? Identifying Euro Area Historical Analogues to the UK’S 2022 Bond Market Shock4
Pricing Convertible Bonds Based on GAN and Transformer4
Accuracy in Recursive Minimal State Space Methods4
A Time-Dependent Markovian Model of a Limit Order Book4
Correction to: Navigating Market Risks in Green Investments in India: an Evaluation of Interest Rate, Equity, Commodity, and Forex Market Influences4
Unleashing the Potential of Mixed Frequency Data: Measuring Risk with Dynamic Tail Index Regression Model4
Carbon Taxes and Inflationary Pressures: A DSGE Exploration of Economic Responses and Macroeconomic Challenges4
Evaluating Bank Efficiency with Risk Management by Optimal Common Resource and Three-Parallel Two-Stage Dynamic DEA Model4
Grain Price Fluctuation: A Network Evolution Approach Based on a Distributed Lag Model4
Asymmetric shock persistence in the OECD Stock Exchanges: New Insight from Quantile Exponential Smooth Transition Autoregression Approach4
Panel Interval-Valued Data Nonlinear Regression Models and Applications4
Simultaneous Confidence Intervals for Multi-way Clustered Stock Return Data4
We-media Advertising Investment Strategy of Enterprises in the Mobile Internet Environment4
Time-Varying Connectedness Among Oil Price Shocks, Global Conditions, and Financial Stress in South and Southeast Asian Markets4
When Firms Make Decisions: A New Constant Relative Risk Aversion Approach3
Learning Bermudans3
Introducing a Nonlinear Macroeconomic Model Based on TE, SINDYC, and Phase Plane Analysis3
Decomposition-Ensemble Approach for Realized Volatility Prediction3
An Analysis of the Temporal Impact of Investor Sentiment and Attention on Stock Liquidity Using Deep Learning3
Deep Learning-based VVIX Forecasting with Time Series Image Encoding and Hybrid ResNet-LSTM Model3
Time–Frequency Connectedness Between Oil Price Shocks and Stock Returns Under Bullish and Bearish Market States: Evidence from African Oil Importers and Exporters3
Panel Stochastic Frontier Analysis with Positive Skewness3
Forecasting High Frequency Order Flow Imbalance using Hawkes Processes3
A Convergent Fourth-Order Finite Difference Scheme for the Black–Scholes Equation3
The European Gas Market Integration During 2018–20243
Intelligent Prediction of Annual CO2 Emissions Under Data Decomposition Mode3
Bayesian Inference for Mixed Gaussian GARCH-Type Model by Hamiltonian Monte Carlo Algorithm3
Correlation Structure of the Spanish Stock Market Around COVID-19 Using Random Matrix Theory3
Compact Finite Difference Scheme with Hermite Interpolation for Pricing American Put Options Based on Regime Switching Model3
Analysis of Gold, Bitcoin, and Gold-Backed Cryptocurrencies as Safe Havens during Global Crises: A Focus on Artificial Intelligence Companies3
The Risk Transmission Mechanism of Global Stock Markets from the Perspective of Entropy-Riemann Geometry: Theoretical Construction and Empirical Analysis3
Application of the Deep Learning Integrated Framework CEEMDAN-GRU-Informer in Financial Time Series Prediction3
Impact of Macroeconomics Factors on Cryptocurrency Pricing: Evidence from Bitcoin and Ethereum Markets3
The Changing Behavior of the European Credit Default Swap Spreads During the Covid-19 Pandemic: A Bayesian Network Analysis3
Perturbating and Estimating DSGE Models in Julia3
PPDNN-CRP: CKKS-FHE Enabled Privacy-Preserving Deep Neural Network Processing for Credit Risk Prediction3
The Tourism Industry’s Performance During the Years of the COVID-19 Pandemic3
Generalized Shifted Chebyshev Polynomials for Time Fractional Black-Scholes Model3
Preference-based Segments from Mixed Logit, Latent Class, and Latent Class Mixed Logit Models: A Monte Carlo Comparison3
The Factors Influencing China’s Population Distribution and Spatial Heterogeneity: Based on Multi-source Remote Sensing Data3
Portfolio with Copula-GARCH and Black-Litterman Model Using a Novel View Error Matrix3
A Synergetic Approach to Ethereum Option Valuation Using XGBoost and Soft Reordering 1D Convolutional Neural Networks3
Analyzing Stationarity in World Coffee Prices3
Credit Rating Model Based on the Difference in Loan Amounts3
Pareto Distribution of the Forbes Billionaires3
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 Policy3
Pricing High-Dimensional Bermudan Options via Kernel-Based Dual Variance Minimization3
Machine Learning XAI for Early Loan Default Prediction3
A Direct Nonparametric Estimator for EVaR of Dependent Financial Returns3
Market Ecology: Trading Strategies and Market Volatility3
Enhancement of Neural Networks Model’s Predictions of Currencies Exchange Rates by Phase Space Reconstruction and Harris Hawks’ Optimization3
A Hybrid Parallel Processing Strategy for Large-Scale DEA Computation3
Comparison of Value at Risk (VaR) Multivariate Forecast Models3
Neural Network for Valuing Bitcoin Options Under Jump-Diffusion and Market Sentiment Model3
Study on the Improvement of Carbon Trading Mechanism and Integration of Low Carbon Energy System under Bi-Level Optimal Dispatch Strategy3
Competitive Bidding Strategy in an Auction with Random Cutoff - Randomness is Always Unpredictable?3
ARDL: An R Package for ARDL Models and Cointegration3
Importance Sampling for Calculating the Value-at-Risk and Expected Shortfall of the Quadratic Portfolio with t-Distributed Risk Factors3
Application of a Dual-Stream Hybrid Network for Exchange Rate Prediction3
Financial Contagion Through the Pan-European Financial Network: Spillover Effect on the Western Balkans3
An Efficient Numerical Method Based on Exponential B-splines for a Time-Fractional Black–Scholes Equation Governing European Options3
Optimal Exercise and Pricing of Swing Options with Global Constraints under the Regime-Switching Model3
Asymptotic Dynamics in a Multi-market Delayed Cobweb Model3
Forecasting Crude Oil Prices: Evidence From WOA-VMD-FE-Transformer Model3
An Identification and Estimation of Stock Price Pattern Equations using K-Means3
Directed association network analysis on the Standard and Poor’s 500 Index3
Data-Driven Green Technology Integration and Geopolitical Risks in East Asian Economic Development: A Predictive Analysis3
Computing Quantiles of Functions of the Agent Distribution Using t-Digests3
Correction to: An experiment with ANNs and Long‑Tail Probability Ranking to Obtain Portfolios with Superior Returns3
Age Specific Multi-Stage OLG Model for PAYG Pension Schemes3
Vine Copula Approach to Understand the Financial Dependence of the Istanbul Stock Exchange Index3
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