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 2020-11-01 to 2024-11-01.)
ArticleCitations
Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering61
Machine Learning in Economics and Finance60
Reinforcement Learning in Economics and Finance42
Integrated decision recommendation system using iteration-enhanced collaborative filtering, golden cut bipolar for analyzing the risk-based oil market spillovers42
A Computational Model to Predict Consumer Behaviour During COVID-19 Pandemic41
Corporate Bankruptcy Prediction Using Machine Learning Methodologies with a Focus on Sequential Data41
The Analysis of Credit Risks in Agricultural Supply Chain Finance Assessment Model Based on Genetic Algorithm and Backpropagation Neural Network32
The Impact of Financial Enterprises’ Excessive Financialization Risk Assessment for Risk Control based on Data Mining and Machine Learning27
When Elon Musk Changes his Tone, Does Bitcoin Adjust Its Tune?26
Predicting Firm-Level Bankruptcy in the Spanish Economy Using Extreme Gradient Boosting26
Analysis of Internet Financial Risks Based on Deep Learning and BP Neural Network23
The Training of Pi-Sigma Artificial Neural Networks with Differential Evolution Algorithm for Forecasting23
Risk Connectedness Between Green and Conventional Assets with Portfolio Implications23
Bitcoin Price Prediction: A Machine Learning Sample Dimension Approach21
Predict Stock Prices Using Supervised Learning Algorithms and Particle Swarm Optimization Algorithm20
Modeling Bitcoin Prices using Signal Processing Methods, Bayesian Optimization, and Deep Neural Networks19
Short- and Long-Term Interactions Between Bitcoin and Economic Variables: Evidence from the US18
Predicting Stock Price Falls Using News Data: Evidence from the Brazilian Market17
Kelly-Based Options Trading Strategies on Settlement Date via Supervised Learning Algorithms17
Nowcasting US GDP Using Tree-Based Ensemble Models and Dynamic Factors16
A New Bootstrapped Hybrid Artificial Neural Network Approach for Time Series Forecasting15
Cap and Trade Versus Carbon Tax: An Analysis Based on a CGE Model15
Bidirectional Risk Spillovers between Exchange Rate of Emerging Market Countries and International Crude Oil Price–Based on Time-varing Copula-CoVaR15
The Use of Machine Learning Combined with Data Mining Technology in Financial Risk Prevention14
Using Machine Learning Approach to Evaluate the Excessive Financialization Risks of Trading Enterprises14
Innovative Risk Early Warning Model under Data Mining Approach in Risk Assessment of Internet Credit Finance14
Quantum Computing and Deep Learning Methods for GDP Growth Forecasting14
Financial Performance Analysis with the Fuzzy COPRAS and Entropy-COPRAS Approaches13
On ESG Portfolio Construction: A Multi-Objective Optimization Approach13
Bayesian Estimation of Agent-Based Models via Adaptive Particle Markov Chain Monte Carlo12
Dynamic Metafrontier Malmquist–Luenberger Productivity Index in Network DEA: An Application to Banking Data12
LSTM–GARCH Hybrid Model for the Prediction of Volatility in Cryptocurrency Portfolios12
Using Double Frequency in Fourier Dickey–Fuller Unit Root Test12
A Comparative Analysis of Parsimonious Yield Curve Models with Focus on the Nelson-Siegel, Svensson and Bliss Versions11
The Determinants of Bitcoin’s Price: Utilization of GARCH and Machine Learning Approaches11
Intelligent FinTech Data Mining by Advanced Deep Learning Approaches11
A Machine Learning Approach to Detection of Trade-Based Manipulations in Borsa Istanbul11
A Two-Dimensional Sentiment Analysis of Online Public Opinion and Future Financial Performance of Publicly Listed Companies11
Forecasting the Dynamic Correlation of Stock Indices Based on Deep Learning Method11
Is Deep-Learning and Natural Language Processing Transcending the Financial Forecasting? Investigation Through Lens of News Analytic Process11
Stock Market Response to Quantitative Easing: Evidence from the Novel Rolling Windows Nonparametric Causality-in-Quantiles Approach11
Deep Learning Based Hybrid Computational Intelligence Models for Options Pricing11
A New Hybrid Instance-Based Learning Model for Decision-Making in the P2P Lending Market11
Turkish Stock Market from Pandemic to Russian Invasion, Evidence from Developed Machine Learning Algorithm10
Intelligent Prediction of Annual CO2 Emissions Under Data Decomposition Mode10
Predicting Business Risks of Commercial Banks Based on BP-GA Optimized Model10
The Dynamic Volatility Connectedness Structure of Energy Futures and Global Financial Markets: Evidence From a Novel Time–Frequency Domain Approach10
Bayesian Estimation of Economic Simulation Models Using Neural Networks10
An Analytical Approximation Formula for Barrier Option Prices Under the Heston Model10
Enterprise Intelligent Audit Model by Using Deep Learning Approach9
Analysis of Early Warning of RMB Exchange Rate Fluctuation and Value at Risk Measurement Based on Deep Learning9
Deep Learning for Financial Engineering9
Optimized Machine Learning Algorithms for Investigating the Relationship Between Economic Development and Human Capital9
Maximum Likelihood Estimation Methods for Copula Models9
A Regression-Based Calibration Method for Agent-Based Models9
Evaluating the Performance of Metaheuristic Based Artificial Neural Networks for Cryptocurrency Forecasting9
The Relationship Between Economic Growth and Electricity Consumption: Bootstrap ARDL Test with a Fourier Function and Machine Learning Approach8
A Deep Learning Based Numerical PDE Method for Option Pricing8
Incentives for Research Effort: An Evolutionary Model of Publication Markets with Double-Blind and Open Review8
Connectedness between Currency Risk Hedging and Firm Value: A Deep Neural Network-based Evaluation8
A New Strategy for Short-Term Stock Investment Using Bayesian Approach8
A Mellin Transform Approach to the Pricing of Options with Default Risk8
Numerical Approximation to a Variable-Order Time-Fractional Black–Scholes Model with Applications in Option Pricing8
Swarm Intelligence Based Hybrid Neural Network Approach for Stock Price Forecasting8
Towards Crafting Optimal Functional Link Artificial Neural Networks with Rao Algorithms for Stock Closing Prices Prediction8
A Bootstrap Method to Test Granger-Causality in the Frequency Domain8
Tail Risk Early Warning System for Capital Markets Based on Machine Learning Algorithms8
The multiColl Package Versus Other Existing Packages in R to Detect Multicollinearity8
Two-Stage Hybrid Feature Selection Approach Using Levy’s Flight Based Chicken Swarm Optimization for Stock Market Forecasting7
Market Efficiency and Cross-Correlations of Chinese New Energy Market with Other Assets: Evidence from Multifractality Analysis7
Comparison of Value at Risk (VaR) Multivariate Forecast Models7
Comparing Out-of-Sample Performance of Machine Learning Methods to Forecast U.S. GDP Growth7
The Convergence Investigation of a Numerical Scheme for the Tempered Fractional Black-Scholes Model Arising European Double Barrier Option7
Performance of Different Machine Learning Algorithms in Detecting Financial Fraud7
Statistical Evaluation of Deep Learning Models for Stock Return Forecasting7
Determining the Flat Sales Prices by Flat Characteristics Using Bayesian Network Models7
Do Gas Price and Uncertainty Indices Forecast Crude Oil Prices? Fresh Evidence Through XGBoost Modeling7
Non-cooperative Mode, Cost-Sharing Mode, or Cooperative Mode: Which is the Optimal Mode for Desertification Control?6
Undirected and Directed Network Analysis of the Chinese Stock Market6
The Impact of News Sentiment Indicators on Agricultural Product Prices6
Price Prediction of Cryptocurrency Using a Multi-Layer Gated Recurrent Unit Network with Multi Features6
A Study of the International Stock Market Behavior During COVID-19 Pandemic Using a Driven Iterated Function System6
Method for Improving the Performance of Technical Analysis Indicators By Neural Network Models6
V-Shaped BAS: Applications on Large Portfolios Selection Problem6
Microfounded Tax Revenue Forecast Model with Heterogeneous Population and Genetic Algorithm Approach6
Dependence and Systemic Risk Analysis Between S&P 500 Index and Sector Indexes: A Conditional Value-at-Risk Approach6
Modelling Sovereign Credit Ratings: Evaluating the Accuracy and Driving Factors using Machine Learning Techniques6
The Convergence Analysis of the Numerical Calculation to Price the Time-Fractional Black–Scholes Model6
From the East-European Regional Day-Ahead Markets to a Global Electricity Market6
Analytically Pricing European Options under a New Two-Factor Heston Model with Regime Switching6
A Novel Hybrid House Price Prediction Model6
Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy6
On the Solution of the Black–Scholes Equation Using Feed-Forward Neural Networks6
Hedging the Risks of MENA Stock Markets with Gold: Evidence from the Spectral Approach6
Volatility Interdependence Between Cryptocurrencies, Equity, and Bond Markets6
Evidence for Novel Structures Relating CSR Reporting and Economic Welfare: Environmental Sustainability—A Continent-Level Analysis5
Analytical and Numerical Solution for the Time Fractional Black-Scholes Model Under Jump-Diffusion5
Compact Finite Difference Scheme with Hermite Interpolation for Pricing American Put Options Based on Regime Switching Model5
Extracting Rules via Markov Chains for Cryptocurrencies Returns Forecasting5
A Nash Equilibrium for Differential Games with Moving-Horizon Strategies5
GPS data Mining at Signalized Intersections for Congestion Charging5
A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels5
Multivariate Cointegration and Temporal Aggregation: Some Further Simulation Results5
High Frequency and Dynamic Pairs Trading with Ant Colony Optimization5
Multivariate Picture Fuzzy Time Series: New Definitions and a New Forecasting Method Based on Pi-Sigma Artificial Neural Network5
How Successful are Energy Efficiency Investments? A Comparative Analysis for Classification & Performance Prediction5
Predictor Choice, Investor Types, and the Price Impact of Trades on the Tokyo Stock Exchange5
Credit Scoring Model Based on HMM/Baum-Welch Method5
Connectedness in International Crude Oil Markets5
Textual Machine Learning: An Application to Computational Economics Research5
Inferring Causal Interactions in Financial Markets Using Conditional Granger Causality Based on Quantile Regression5
Multi–Scale Risk Connectedness Between Economic Policy Uncertainty of China and Global Oil Prices in Time–Frequency Domains5
Classifying the Variety of Customers’ Online Engagement for Churn Prediction with a Mixed-Penalty Logistic Regression4
Predicting Natural Gas Prices Based on a Novel Hybrid Model with Variational Mode Decomposition4
Financial Sequence Prediction Based on Swarm Intelligence Algorithms of Internet of Things4
A Dynamic Mechanism Design for Controllable and Ergodic Markov Games4
Finite Sample Lag Adjusted Critical Values of the ADF-GLS Test4
The Impact of Large Investors on the Portfolio Optimization of Single-Family Houses in Housing Markets4
COVID 19 Pandemic, Socio-Economic Behaviour and Infection Characteristics: An Inter-Country Predictive Study Using Deep Learning4
An Efficient Numerical Scheme to Approach the Time Fractional Black–Scholes Model Using Orthogonal Gegenbauer Polynomials4
Valuation of Spark-Spread Option Written on Electricity and Gas Forward Contracts Under Two-Factor Models with Non-Gaussian Lévy Processes4
Autoregressive Random Forests: Machine Learning and Lag Selection for Financial Research4
Inaccurate Value at Risk Estimations: Bad Modeling or Inappropriate Data?4
Monitoring Liquidity Management of Banks With Recurrent Neural Networks4
CO2 Emission Allowances Risk Prediction with GAS and GARCH Models4
Weighted-Average Least Squares (WALS): Confidence and Prediction Intervals4
The Relationship Between Non-additivity Valuations, Cash Flows and Sales Growth4
An Exploration of the Fuzzy Inference System for the Daily Trading Decision and Its Performance Analysis Based on Fuzzy MCDM Methods4
Portfolio Correlations in the Bank-Firm Credit Market of Japan4
New DTW Windows Type for Forward- and Backward-Lookingness Examination. Application for Inflation Expectation4
The Risk Early-Warning Model of Financial Operation in Family Farms Based on Back Propagation Neural Network Methods4
A Multi-market Comparison of the Intraday Lead–Lag Relations Among Stock Index-Based Spot, Futures and Options4
Feature Selection and Hyperparameters Optimization Employing a Hybrid Model Based on Genetic Algorithm and Artificial Neural Network: Forecasting Dividend Payout Ratio4
Evaluation of Non-survey Methods for the Construction of Regional Input–Output Matrices When There is Partial Historical Information4
Efficiency Evaluation of Assets and Optimal Portfolio Generation by Cross Efficiency and Cumulative Prospect Theory4
Multiscale Multifractal Detrended Fluctuation Analysis and Trend Identification of Liquidity in the China's Stock Markets4
Does Short-and-Distort Scheme Really Exist? A Bitcoin Futures Audit Scheme through BIRCH & BPNN Approach4
A Comprehensive Study of Market Prediction from Efficient Market Hypothesis up to Late Intelligent Market Prediction Approaches4
A Synthetic Data-Plus-Features Driven Approach for Portfolio Optimization4
Diversification and Systemic Risk of Networks Holding Common Assets4
Threshold Moving Approach with Logit Models for Bankruptcy Prediction4
Numerical Simulation of Non-cooperative and Cooperative Equilibrium Solutions for a Stochastic Government Debt Stabilization Game4
Adaptive Trading System of Assets for International Cooperation in Agricultural Finance Based on Neural Network4
A Finite Difference Scheme for Pairs Trading with Transaction Costs3
Collaborative Innovation Strategy of Supply Chain in the Context of MCU Domestic Substitution : A Differential Game Analysis3
A Neural Network Approach to Value R&D Compound American Exchange Option3
Optimizing Financial Engineering Time Indicator Using Bionics Computation Algorithm and Neural Network Deep Learning3
Dynamic Analysis of Bitcoin Price Under Market News and Sentiments and Government Support Policies3
Using Newspapers for Textual Indicators: Guidance Based on Spanish- and Portuguese-Speaking Countries3
Accurate and Efficient Finite Difference Method for the Black–Scholes Model with No Far-Field Boundary Conditions3
A Hybrid ARFIMA Wavelet Artificial Neural Network Model for DJIA Index Forecasting3
Integrating Wavelet Decomposition and Fuzzy Transformation for Improving the Accuracy of Forecasting Crude Oil Price3
An Application of Machine Learning to Logistics Performance Prediction: An Economics Attribute-Based of Collective Instance3
Developing a New Multidimensional Index of Bank Stability and Its Usage in the Design of Optimal Policy Interventions3
An Identification Algorithm of Systemically Important Financial Institutions Based on Adjacency Information Entropy3
Enhancement of Neural Networks Model’s Predictions of Currencies Exchange Rates by Phase Space Reconstruction and Harris Hawks’ Optimization3
Implementing Maximum Likelihood Estimation of Empirical Matching Models3
Prediction of Loan Rate for Mortgage Data: Deep Learning Versus Robust Regression3
The Cross-Shareholding Network and Risk Contagion from Stochastic Shocks: An Investigation Based on China’s Market3
Modeling the Paths of China’s Systemic Financial Risk Contagion: A Ripple Network Perspective Analysis3
The Spherical Parametrisation for Correlation Matrices and its Computational Advantages3
Is cryptocurrency Efficient? A High-Frequency Asymmetric Multifractality Analysis3
Resilient Control for Macroeconomic Models3
Derivation and Application of Some Fractional Black–Scholes Equations Driven by Fractional G-Brownian Motion3
Does the Real Business Cycle Help Forecast the Financial Cycle?3
How do Fines and Their Enforcement on Counterfeit Products Affect Social Welfare?3
Volatility Spillovers and Contagion During Major Crises: An Early Warning Approach Based on a Deep Learning Model3
Economic Policy Uncertainty Index Meets Ensemble Learning3
N-BEATS Perceiver: A Novel Approach for Robust Cryptocurrency Portfolio Forecasting3
Exploring Statistical Arbitrage Opportunities Using Machine Learning Strategy3
DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors3
On the Modeling and Simulation of Portfolio Allocation Schemes: an Approach Based on Network Community Detection3
Bayesian Estimation of the Skew Ornstein-Uhlenbeck Process3
National Governance Differences and Foreign Bank Performance in Asian Countries: The Role of Bank Competition3
A Novel Financial Forecasting Approach Using Deep Learning Framework3
A Novel Prediction Model: ELM-ABC for Annual GDP in the Case of SCO Countries3
Application of Supervised Machine Learning Techniques to Forecast the COVID-19 U.S. Recession and Stock Market Crash3
A New Neural Network Approach for Predicting the Volatility of Stock Market3
A Synthetic Penalized Logitboost to Model Mortgage Lending with Imbalanced Data3
A New Stabled Relaxation Method for Pricing European Options Under the Time-Fractional Vasicek Model3
The Influence of Economic Policy Uncertainty and Business Cycles on Fine Wine Prices3
Estimation of Expected Shortfall Using Quantile Regression: A Comparison Study3
Personal Finance Decisions with Untruthful Advisors: An Agent-Based Model3
Gauging Demand for Cryptocurrency over the Economic Policy Uncertainty and Stock Market Volatility2
Deviation-Based Model Risk Measures2
An Algorithm for the Pricing and Timing of the Option to make a Two-Stage Investment with Credit Guarantees2
Forecasting Forex Trend Indicators with Fuzzy Rough Sets2
Use of Econometric Predictors and Artificial Neural Networks for the Construction of Stock Market Investment Bots2
Portfolio Selection with a Rank-Deficient Covariance Matrix2
Size-Dependent Enforcement, Tax Evasion and Dimensional Trap2
Explaining the Stylized Facts of Foreign Exchange Markets with a Simple Agent-based Version of Paul de Grauwe’s Chaotic Exchange Rate Model2
Impact of Climate Variables Change on the Yield of Wheat and Rice Crops in Iran (Application of Stochastic Model Based on Monte Carlo Simulation)2
Are the Eurozone Financial and Business Cycles Convergent Across Time and Frequency?2
Complex Systems Modeling of Community Inclusion Currencies2
Optimality Between Time of Estimation and Reliability of Model Results in the Monte Carlo Method: A Case for a CGE Model2
Reference Vector-Based Multiobjective Clustering Ensemble Approach for Time Series Forecasting2
A Novel ARMA Type Possibilistic Fuzzy Forecasting Functions Based on Grey-Wolf Optimizer (ARMA-PFFs)2
Price Change and Trading Volume: Behavioral Heterogeneity in Stock Market2
Bayesian Analysis of Realized Matrix-Exponential GARCH Models2
Improving Cointegration-Based Pairs Trading Strategy with Asymptotic Analyses and Convergence Rate Filters2
Role of Comprehensive Income in Predicting Bankruptcy2
Valuation of Standard Call Options Using the Euler–Maruyama Method with Strong Approximation2
Benchmark Analysis of Machine Learning Methods to Forecast the U.S. Annual Inflation Rate During a High-Decile Inflation Period2
The Benefits of Fractionation in Competitive Resource Allocation2
Revisiting the Merton Problem: from HARA to CARA Utility2
An Incentive-Compatible and Computationally Efficient Fog Bargaining Mechanism2
Horizon-Adaptive Extreme Risk Quantification for Cryptocurrency Assets2
A Dynamic Baseline Calibration Procedure for CGE models2
Exploring the Nonlinear Idiosyncratic Volatility Puzzle: Evidence from China2
Numerically Pricing Nonlinear Time-Fractional Black–Scholes Equation with Time-Dependent Parameters Under Transaction Costs2
Valuations of Variance and Volatility Swaps Under Double Heston Jump-Diffusion Model With Approximative Fractional Stochastic Volatility2
Streaming Approach to Quadratic Covariation Estimation Using Financial Ultra-High-Frequency Data2
Boosting the Scalability of Farm-Level Models: Efficient Surrogate Modeling of Compositional Simulation Output2
Averages: There is Still Something to Learn2
Controlling Heterogeneous Structure of Smooth Breaks in Panel Unit Root and Cointegration Testing2
Generalized, Partial and Canonical Correlation Coefficients2
Sectoral Impacts of International Labour Migration and Population Ageing in the Czech Republic2
Simulating and Pricing CAT Bonds Using the Spectral Method Based on Chebyshev Basis2
An Application of the IFM Method for the Risk Assessment of Financial Instruments2
Internal Rate of Return Estimation of Subsidised Projects: Conventional Approach Versus fuzzy Approach2
Option Pricing by the Legendre Wavelets Method2
ARDL: An R Package for ARDL Models and Cointegration2
Unfolding Beijing in a Hedonic Way2
The Tourism Industry’s Performance During the Years of the COVID-19 Pandemic2
Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches2
Non-linear Cointegration Test, Based on Record Counting Statistic2
Maximum Likelihood Estimation for the Asymmetric Exponential Power Distribution2
Hedge Effectiveness of the Credit Default Swap Indices: a Spectral Decomposition and Network Topology Analysis2
Forecasting the Stock Price of Listed Innovative SMEs Using Machine Learning Methods Based on Bayesian optimization: Evidence from China2
Housing GANs: Deep Generation of Housing Market Data2
Using Quadratic Interpolated Beetle Antennae Search for Higher Dimensional Portfolio Selection Under Cardinality Constraints2
The Effect of Including Irrelevant Alternatives in Discrete Choice Models of Recreation Demand2
Macro-Regional Economic Structural Change Driven by Micro-founded Technological Innovation Diffusion: An Agent-Based Computational Economic Modeling Approach2
A Novel Approach to Fuzzy Based Efficiency Assessment of a Financial System2
Profitability of Ichimoku-Based Trading Rule in Vietnam Stock Market in the Context of the COVID-19 Outbreak2
Bounded Rationality, Group Formation and the Emergence of Trust: An Agent-Based Economic Model2
A Consolidated MCDM Framework for Overall Performance Assessment of Listed Insurance Companies Based on Ranking Strategies2
Robust Portfolio Optimization Based on Semi-Parametric ARMA-TGARCH-EVT Model with Mixed Copula Using WCVaR2
$$\ell _{1}$$ Common Trend Filtering2
House Prices as a Result of Trading Activities: A Patient Trader Model2
Spillovers and Portfolio Management Between the Uncertainty Indices of Oil and Gold and G7 Stock Markets2
Economic Categorizing Based on DFT-induced Supervised Learning1
Zero-Adjusted Log-Symmetric Quantile Regression Models1
A Closed Form Solution for Pricing Variance Swaps Under the Rescaled Double Heston Model1
Portfolio Optimization with Prediction-Based Return Using Long Short-Term Memory Neural Networks: Testing on Upward and Downward European Markets1
On Forecasting Realized Volatility for Bitcoin Based on Deep Learning PSO–GRU Model1
Machine Learning Method for Return Direction Forecast of Exchange Traded Funds (ETFs) Using Classification and Regression Models1
Solving High-Dimensional Dynamic Portfolio Choice Models with Hierarchical B-Splines on Sparse Grids1
Forecasting Value at Risk and Expected Shortfall of Foreign Exchange Rate Volatility of Major African Currencies via GARCH and Dynamic Conditional Correlation Analysis1
Identifying Systemically Important Banks Based on an Improved DebtRank Model1
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