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 2020-03-01 to 2024-03-01.)
ArticleCitations
Explainable Machine Learning in Credit Risk Management143
Forecasting of Real GDP Growth Using Machine Learning Models: Gradient Boosting and Random Forest Approach86
Machine Learning in Economics and Finance44
Blockchain-Based Cryptocurrency Regulation: An Overview38
A Computational Model to Predict Consumer Behaviour During COVID-19 Pandemic37
Reinforcement Learning in Economics and Finance33
Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering30
Unemployment Rate Forecasting: A Hybrid Approach30
The Analysis of Credit Risks in Agricultural Supply Chain Finance Assessment Model Based on Genetic Algorithm and Backpropagation Neural Network28
Forecasting Realized Volatility of Bitcoin: The Role of the Trade War27
Predicting Stock Price Using Two-Stage Machine Learning Techniques26
Support Vector Machine Algorithms: An Application to Ship Price Forecasting26
Corporate Bankruptcy Prediction Using Machine Learning Methodologies with a Focus on Sequential Data25
Modelling Stock Markets by Multi-agent Reinforcement Learning24
A New Appraisal Model of Second-Hand Housing Prices in China’s First-Tier Cities Based on Machine Learning Algorithms22
When Elon Musk Changes his Tone, Does Bitcoin Adjust Its Tune?22
Integrated decision recommendation system using iteration-enhanced collaborative filtering, golden cut bipolar for analyzing the risk-based oil market spillovers22
Intertemporal Similarity of Economic Time Series: An Application of Dynamic Time Warping20
The Impact of Financial Enterprises’ Excessive Financialization Risk Assessment for Risk Control based on Data Mining and Machine Learning19
The Training of Pi-Sigma Artificial Neural Networks with Differential Evolution Algorithm for Forecasting18
A Computational Approach to Uncovering Economic Growth Factors17
Kelly-Based Options Trading Strategies on Settlement Date via Supervised Learning Algorithms16
Nowcasting US GDP Using Tree-Based Ensemble Models and Dynamic Factors15
Pricing European Option Under Fuzzy Mixed Fractional Brownian Motion Model with Jumps14
Analysis of Internet Financial Risks Based on Deep Learning and BP Neural Network14
Predicting Firm-Level Bankruptcy in the Spanish Economy Using Extreme Gradient Boosting14
Computing Macro-Effects and Welfare Costs of Temperature Volatility: A Structural Approach13
Short- and Long-Term Interactions Between Bitcoin and Economic Variables: Evidence from the US13
Multi-Factor RFG-LSTM Algorithm for Stock Sequence Predicting13
Bitcoin Price Prediction: A Machine Learning Sample Dimension Approach13
Using Machine Learning Approach to Evaluate the Excessive Financialization Risks of Trading Enterprises13
A New Bootstrapped Hybrid Artificial Neural Network Approach for Time Series Forecasting12
Predicting Stock Price Falls Using News Data: Evidence from the Brazilian Market12
Innovative Risk Early Warning Model under Data Mining Approach in Risk Assessment of Internet Credit Finance12
Bayesian Estimation of Agent-Based Models via Adaptive Particle Markov Chain Monte Carlo11
A Two-Dimensional Sentiment Analysis of Online Public Opinion and Future Financial Performance of Publicly Listed Companies11
Wage Inequality, Labor Market Polarization and Skill-Biased Technological Change: An Evolutionary (Agent-Based) Approach11
Predicting Extreme Financial Risks on Imbalanced Dataset: A Combined Kernel FCM and Kernel SMOTE Based SVM Classifier11
Intelligent FinTech Data Mining by Advanced Deep Learning Approaches11
The Use of Machine Learning Combined with Data Mining Technology in Financial Risk Prevention11
Quantum Computing and Deep Learning Methods for GDP Growth Forecasting11
Cap and Trade Versus Carbon Tax: An Analysis Based on a CGE Model10
Predicting Business Risks of Commercial Banks Based on BP-GA Optimized Model10
Embedding Four Medium-Term Technical Indicators to an Intelligent Stock Trading Fuzzy System for Predicting: A Portfolio Management Approach10
The Determinants of Bitcoin’s Price: Utilization of GARCH and Machine Learning Approaches10
Deep Learning Based Hybrid Computational Intelligence Models for Options Pricing9
Forecasting the Dynamic Correlation of Stock Indices Based on Deep Learning Method9
Bidirectional Risk Spillovers between Exchange Rate of Emerging Market Countries and International Crude Oil Price–Based on Time-varing Copula-CoVaR9
Using Double Frequency in Fourier Dickey–Fuller Unit Root Test9
Dynamic Metafrontier Malmquist–Luenberger Productivity Index in Network DEA: An Application to Banking Data9
Modeling Bitcoin Prices using Signal Processing Methods, Bayesian Optimization, and Deep Neural Networks9
Financial Performance Analysis with the Fuzzy COPRAS and Entropy-COPRAS Approaches9
An Analytical Approximation Formula for Barrier Option Prices Under the Heston Model9
A New Hybrid Instance-Based Learning Model for Decision-Making in the P2P Lending Market9
Bayesian Estimation of Economic Simulation Models Using Neural Networks8
Predict Stock Prices Using Supervised Learning Algorithms and Particle Swarm Optimization Algorithm8
Risk Connectedness Between Green and Conventional Assets with Portfolio Implications8
Maximum Likelihood Estimation Methods for Copula Models8
Intelligent Prediction of Annual CO2 Emissions Under Data Decomposition Mode8
A New Strategy for Short-Term Stock Investment Using Bayesian Approach8
A New Scalable Bayesian Network Learning Algorithm with Applications to Economics8
Estimating the Unrestricted and Restricted Liu Estimators for the Poisson Regression Model: Method and Application8
Enterprise Intelligent Audit Model by Using Deep Learning Approach7
Should Deep Learning Models be in High Demand, or Should They Simply be a Very Hot Topic? A Comprehensive Study for Exchange Rate Forecasting7
Gold Against the Machine7
LSTM–GARCH Hybrid Model for the Prediction of Volatility in Cryptocurrency Portfolios7
Functional Fuzzy Rule-Based Modeling for Interval-Valued Data: An Empirical Application for Exchange Rates Forecasting7
Entropy of Graphs in Financial Markets7
On a Bivariate Hysteretic AR-GARCH Model with Conditional Asymmetry in Correlations7
A Machine Learning Approach to Detection of Trade-Based Manipulations in Borsa Istanbul7
Making Predictions of Global Warming Impacts Using a Semantic Web Tool that Simulates Fuzzy Cognitive Maps7
Connectedness between Currency Risk Hedging and Firm Value: A Deep Neural Network-based Evaluation7
The Dynamic Volatility Connectedness Structure of Energy Futures and Global Financial Markets: Evidence From a Novel Time–Frequency Domain Approach6
How Connected is Too Connected? Impact of Network Topology on Systemic Risk and Collapse of Complex Economic Systems6
A Comparative Analysis of Parsimonious Yield Curve Models with Focus on the Nelson-Siegel, Svensson and Bliss Versions6
Social Influence of Competing Groups and Leaders in Opinion Dynamics6
Deep Learning for Financial Engineering6
Examining Inferences from Neural Network Estimators of Binary Choice Processes: Marginal Effects, and Willingness-to-Pay6
Swarm Intelligence Based Hybrid Neural Network Approach for Stock Price Forecasting6
Towards Crafting Optimal Functional Link Artificial Neural Networks with Rao Algorithms for Stock Closing Prices Prediction6
Optimizing Algorithmic Strategies for Trading Bitcoin6
Turkish Stock Market from Pandemic to Russian Invasion, Evidence from Developed Machine Learning Algorithm6
Analytically Pricing European Options under a New Two-Factor Heston Model with Regime Switching6
Incentives for Research Effort: An Evolutionary Model of Publication Markets with Double-Blind and Open Review6
Computational Modeling of Non-Gaussian Option Price Using Non-extensive Tsallis’ Entropy Framework6
The multiColl Package Versus Other Existing Packages in R to Detect Multicollinearity6
Is Deep-Learning and Natural Language Processing Transcending the Financial Forecasting? Investigation Through Lens of News Analytic Process6
A Study of the International Stock Market Behavior During COVID-19 Pandemic Using a Driven Iterated Function System6
Analysis of Early Warning of RMB Exchange Rate Fluctuation and Value at Risk Measurement Based on Deep Learning6
Stock Market Response to Quantitative Easing: Evidence from the Novel Rolling Windows Nonparametric Causality-in-Quantiles Approach6
An Integral Equation Representation for Optimal Retirement Strategies in Portfolio Selection Problem6
A Bootstrap Method to Test Granger-Causality in the Frequency Domain6
Optimized Machine Learning Algorithms for Investigating the Relationship Between Economic Development and Human Capital6
Non-Cooperative Bargaining with Unsophisticated Agents5
Computing the Time-Varying Effects of Investor Attention in Islamic Stock Returns5
Technological Change and Catching-Up in the Indian Banking Sector: A Time-Dependent Nonparametric Frontier Approach5
Undirected and Directed Network Analysis of the Chinese Stock Market5
Method for Improving the Performance of Technical Analysis Indicators By Neural Network Models5
Price Prediction of Cryptocurrency Using a Multi-Layer Gated Recurrent Unit Network with Multi Features5
Matlab, Python, Julia: What to Choose in Economics?5
Determining the Flat Sales Prices by Flat Characteristics Using Bayesian Network Models5
Non-cooperative Mode, Cost-Sharing Mode, or Cooperative Mode: Which is the Optimal Mode for Desertification Control?5
The $$\alpha$$-Tail Distance with an Application to Portfolio Optimization Under Different Market Conditions5
Modelling Sovereign Credit Ratings: Evaluating the Accuracy and Driving Factors using Machine Learning Techniques5
On the Solution of the Black–Scholes Equation Using Feed-Forward Neural Networks5
A Regression-Based Calibration Method for Agent-Based Models5
A Mellin Transform Approach to the Pricing of Options with Default Risk5
Comparison of Value at Risk (VaR) Multivariate Forecast Models5
A Nash Equilibrium for Differential Games with Moving-Horizon Strategies5
Predictor Choice, Investor Types, and the Price Impact of Trades on the Tokyo Stock Exchange5
Credit Scoring Model Based on HMM/Baum-Welch Method5
Correlated at the Tail: Implications of Asymmetric Tail-Dependence Across Bitcoin Markets4
Ranking Countries and Geographical Regions in the International Green Bond Transfer Network: A Computational Weighted Network Approach4
Two-Sided Matching with Indifferences: Using Heuristics to Improve Properties of Stable Matchings4
COVID 19 Pandemic, Socio-Economic Behaviour and Infection Characteristics: An Inter-Country Predictive Study Using Deep Learning4
On ESG Portfolio Construction: A Multi-Objective Optimization Approach4
The Convergence Investigation of a Numerical Scheme for the Tempered Fractional Black-Scholes Model Arising European Double Barrier Option4
Valuation of Spark-Spread Option Written on Electricity and Gas Forward Contracts Under Two-Factor Models with Non-Gaussian Lévy Processes4
The Risk Early-Warning Model of Financial Operation in Family Farms Based on Back Propagation Neural Network Methods4
The Relationship Between Economic Growth and Electricity Consumption: Bootstrap ARDL Test with a Fourier Function and Machine Learning Approach4
A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels4
The Impact of News Sentiment Indicators on Agricultural Product Prices4
V-Shaped BAS: Applications on Large Portfolios Selection Problem4
Time-Varying Dictionary and the Predictive Power of FED Minutes4
Extracting Rules via Markov Chains for Cryptocurrencies Returns Forecasting4
A New Dynamic Mixture Copula Mechanism to Examine the Nonlinear and Asymmetric Tail Dependence Between Stock and Exchange Rate Returns4
Tail Risk Early Warning System for Capital Markets Based on Machine Learning Algorithms4
A Guide on Solving Non-convex Consumption-Saving Models4
Does Capacity Utilization Predict Inflation? A Wavelet Based Evidence from United States4
Evidence for Novel Structures Relating CSR Reporting and Economic Welfare: Environmental Sustainability—A Continent-Level Analysis4
A Synthetic Penalized Logitboost to Model Mortgage Lending with Imbalanced Data4
A Dynamic Mechanism Design for Controllable and Ergodic Markov Games4
Connectedness in International Crude Oil Markets4
An Exploration of the Fuzzy Inference System for the Daily Trading Decision and Its Performance Analysis Based on Fuzzy MCDM Methods4
Numerical Approximation to a Variable-Order Time-Fractional Black–Scholes Model with Applications in Option Pricing4
Textual Machine Learning: An Application to Computational Economics Research4
Inferring Causal Interactions in Financial Markets Using Conditional Granger Causality Based on Quantile Regression4
Do Gas Price and Uncertainty Indices Forecast Crude Oil Prices? Fresh Evidence Through XGBoost Modeling4
Research on the Effects of Institutional Liquidation Strategies on the Market Based on Multi-agent Model4
GPS data Mining at Signalized Intersections for Congestion Charging4
Monitoring Liquidity Management of Banks With Recurrent Neural Networks4
CO2 Emission Allowances Risk Prediction with GAS and GARCH Models3
A Comprehensive Study of Market Prediction from Efficient Market Hypothesis up to Late Intelligent Market Prediction Approaches3
Multivariate Cointegration and Temporal Aggregation: Some Further Simulation Results3
Market Efficiency and Cross-Correlations of Chinese New Energy Market with Other Assets: Evidence from Multifractality Analysis3
An Identification Algorithm of Systemically Important Financial Institutions Based on Adjacency Information Entropy3
New DTW Windows Type for Forward- and Backward-Lookingness Examination. Application for Inflation Expectation3
Estimation of Expected Shortfall Using Quantile Regression: A Comparison Study3
Inaccurate Value at Risk Estimations: Bad Modeling or Inappropriate Data?3
A Finite Difference Scheme for Pairs Trading with Transaction Costs3
Evaluation of Non-survey Methods for the Construction of Regional Input–Output Matrices When There is Partial Historical Information3
Hedging the Risks of MENA Stock Markets with Gold: Evidence from the Spectral Approach3
Censored Nonparametric Time-Series Analysis with Autoregressive Error Models3
Finite Sample Lag Adjusted Critical Values of the ADF-GLS Test3
Diversification and Systemic Risk of Networks Holding Common Assets3
High Frequency and Dynamic Pairs Trading with Ant Colony Optimization3
The Influence of Economic Policy Uncertainty and Business Cycles on Fine Wine Prices3
How Successful are Energy Efficiency Investments? A Comparative Analysis for Classification & Performance Prediction3
Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy3
Implementing Maximum Likelihood Estimation of Empirical Matching Models3
Efficiency Evaluation of Assets and Optimal Portfolio Generation by Cross Efficiency and Cumulative Prospect Theory3
Adaptive Trading System of Assets for International Cooperation in Agricultural Finance Based on Neural Network3
Financial Sequence Prediction Based on Swarm Intelligence Algorithms of Internet of Things3
Comparing Out-of-Sample Performance of Machine Learning Methods to Forecast U.S. GDP Growth3
Volatility Interdependence Between Cryptocurrencies, Equity, and Bond Markets3
Data-Based Automatic Discretization of Nonparametric Distributions3
Integrating Wavelet Decomposition and Fuzzy Transformation for Improving the Accuracy of Forecasting Crude Oil Price3
Portfolio Correlations in the Bank-Firm Credit Market of Japan3
Modeling Economic Activities and Random Catastrophic Failures of Financial Networks via Gibbs Random Fields3
Economic Policy Uncertainty Index Meets Ensemble Learning3
A Time Series Framework for Pricing Guaranteed Lifelong Withdrawal Benefit3
Multi–Scale Risk Connectedness Between Economic Policy Uncertainty of China and Global Oil Prices in Time–Frequency Domains3
Application of Supervised Machine Learning Techniques to Forecast the COVID-19 U.S. Recession and Stock Market Crash3
The Convergence Analysis of the Numerical Calculation to Price the Time-Fractional Black–Scholes Model3
A Markov Decision Process Model for Optimal Trade of Options Using Statistical Data2
Modeling the Paths of China’s Systemic Financial Risk Contagion: A Ripple Network Perspective Analysis2
The Benefits of Fractionation in Competitive Resource Allocation2
A Neural Network Approach to Value R&D Compound American Exchange Option2
Evaluating the Performance of Metaheuristic Based Artificial Neural Networks for Cryptocurrency Forecasting2
A Multi-market Comparison of the Intraday Lead–Lag Relations Among Stock Index-Based Spot, Futures and Options2
Optimizing Financial Engineering Time Indicator Using Bionics Computation Algorithm and Neural Network Deep Learning2
Hedge Effectiveness of the Credit Default Swap Indices: a Spectral Decomposition and Network Topology Analysis2
Are the Eurozone Financial and Business Cycles Convergent Across Time and Frequency?2
Bounded Rationality, Group Formation and the Emergence of Trust: An Agent-Based Economic Model2
Statistical Validation of Multi-Agent Financial Models Using the H-Infinity Kalman Filter2
Generalized, Partial and Canonical Correlation Coefficients2
A New Stabled Relaxation Method for Pricing European Options Under the Time-Fractional Vasicek Model2
Omega Compatibility: A Meta-analysis2
Sectoral Impacts of International Labour Migration and Population Ageing in the Czech Republic2
Extreme Wavelet Fast Learning Machine for Evaluation of the Default Profile on Financial Transactions2
DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors2
Option Pricing by the Legendre Wavelets Method2
A Synthetic Data-Plus-Features Driven Approach for Portfolio Optimization2
Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches2
Bayesian Analysis of Realized Matrix-Exponential GARCH Models2
Revisiting the Merton Problem: from HARA to CARA Utility2
Threshold Moving Approach with Logit Models for Bankruptcy Prediction2
Multiscale Multifractal Detrended Fluctuation Analysis and Trend Identification of Liquidity in the China's Stock Markets2
Development of Intelligent Stock Trading System Using Pattern Independent Predictor and Turning Point Matrix2
Introduction to Topics in Modelling Financial and Macroeconomic Time Series2
The Effect of Including Irrelevant Alternatives in Discrete Choice Models of Recreation Demand2
A Dynamic Baseline Calibration Procedure for CGE models2
Streaming Approach to Quadratic Covariation Estimation Using Financial Ultra-High-Frequency Data2
Numerical Simulation of Non-cooperative and Cooperative Equilibrium Solutions for a Stochastic Government Debt Stabilization Game2
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
Derivation and Application of Some Fractional Black–Scholes Equations Driven by Fractional G-Brownian Motion2
Resilient Control for Macroeconomic Models2
Testing for Time-Varying Properties Under Misspecified Conditional Mean and Variance2
A Novel Prediction Model: ELM-ABC for Annual GDP in the Case of SCO Countries2
The Cross-Shareholding Network and Risk Contagion from Stochastic Shocks: An Investigation Based on China’s Market2
Multivariate Picture Fuzzy Time Series: New Definitions and a New Forecasting Method Based on Pi-Sigma Artificial Neural Network2
Controlling Heterogeneous Structure of Smooth Breaks in Panel Unit Root and Cointegration Testing2
Maximum Likelihood Estimation for the Asymmetric Exponential Power Distribution2
A Novel Hybrid House Price Prediction Model2
Bayesian Estimation of the Skew Ornstein-Uhlenbeck Process2
Parallel Extended Path Method for Solving Perfect Foresight Models2
Statistical Evaluation of Deep Learning Models for Stock Return Forecasting2
An Algorithm for the Pricing and Timing of the Option to make a Two-Stage Investment with Credit Guarantees2
Deviation-Based Model Risk Measures2
Optimal Portfolio Choice Under Shadow Costs with Fixed Assets when Time-Horizon Is Uncertain2
From the East-European Regional Day-Ahead Markets to a Global Electricity Market2
A Deep Learning Based Numerical PDE Method for Option Pricing2
Performance of Different Machine Learning Algorithms in Detecting Financial Fraud2
Boosting the Scalability of Farm-Level Models: Efficient Surrogate Modeling of Compositional Simulation Output2
Forecasting Volatility for an Optimal Portfolio with Stylized Facts Using Copulas2
The Impact of Large Investors on the Portfolio Optimization of Single-Family Houses in Housing Markets2
Reference Vector-Based Multiobjective Clustering Ensemble Approach for Time Series Forecasting2
Dynamic Analysis of Bitcoin Price Under Market News and Sentiments and Government Support Policies2
How do Fines and Their Enforcement on Counterfeit Products Affect Social Welfare?2
Endogenous Shared Punishment Model in Threshold Public Goods Games2
House Prices as a Result of Trading Activities: A Patient Trader Model2
Numerically Pricing Nonlinear Time-Fractional Black–Scholes Equation with Time-Dependent Parameters Under Transaction Costs2
Futures Hedging in CSI 300 Markets: A Comparison Between Minimum-Variance and Maximum-Utility Frameworks2
A New Neural Network Approach for Predicting the Volatility of Stock Market2
Does Short-and-Distort Scheme Really Exist? A Bitcoin Futures Audit Scheme through BIRCH & BPNN Approach2
Valuation of Standard Call Options Using the Euler–Maruyama Method with Strong Approximation2
Weighted-Average Least Squares (WALS): Confidence and Prediction Intervals2
Portfolio Selection Based on EMD Denoising with Correlation Coefficient Test Criterion1
R-Squared-Bootstrapping for Gegenbauer-Type Long Memory1
Reinforcement Learning in a Cournot Oligopoly Model1
Job Mobility and Wealth Inequality1
Autoregressive Random Forests: Machine Learning and Lag Selection for Financial Research1
Solving High-Dimensional Dynamic Portfolio Choice Models with Hierarchical B-Splines on Sparse Grids1
Personal Finance Decisions with Untruthful Advisors: An Agent-Based Model1
Prediction of Loan Rate for Mortgage Data: Deep Learning Versus Robust Regression1
Exploring Option Pricing and Hedging via Volatility Asymmetry1
Use of Econometric Predictors and Artificial Neural Networks for the Construction of Stock Market Investment Bots1
Economic Categorizing Based on DFT-induced Supervised Learning1
A Closed Form Solution for Pricing Variance Swaps Under the Rescaled Double Heston Model1
Zero-Adjusted Log-Symmetric Quantile Regression Models1
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