Computational Economics

Papers
(The TQCC of Computational Economics is 3. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Estimation of Models for Stock Returns73
On the Optimal Size and Composition of Customs Unions: An Evolutionary Approach71
Comparative Analysis of Turkish and German Stock-Markets as a Hedge Product Against Inflation by Using Machine Learning Algorithms57
Financial Stress in Asean + 3 Economies: Risk Regime Identification and Predictability49
Optimization of Asset Allocation and Liquidation Time in Investment Decisions with VaR as a Risk Measure43
Numerical Solution of Passport Option Pricing Problem with Polynomial Neural Networks38
Volatility Dynamics and Mixed Jump-GARCH Model Based Jump Detection in Financial Markets37
Measuring Inflation Expectations Using Artificial Intelligence35
Detection of Uncertainty Events in the Brazilian Economic and Financial Time Series34
Explainable Hybrid Recurrent Models for Stock Price Prediction: Integrating Attention for Transparency33
Risk Evaluation and Early Warning Study on Supply of Critical Minerals for China's Chip Industry30
A Novel Data Fusion Method for Multi-Dimensional Temporal Data Forecasting of Financial Homologous29
Deep Learning for Solving and Estimating Dynamic Macro-finance Models28
Research on the Operation, Market and ESG Efficiency of China's Local Commercial Banks in the Context of COVID-1927
Computing Aggregate Fluctuations of Economies with Private Information26
Operator Splitting Method to Solve the Linear Complementarity Problem for Pricing American Option: An Approximation of Error25
On Forecasting Realized Volatility for Bitcoin Based on Deep Learning PSO–GRU Model25
Dynamics in Realized Volatility Forecasting: Evaluating GARCH Models and Deep Learning Algorithms Across Parameter Variations25
An Automated Market Maker Algorithm for Fixed-Rate Trading with Flexible Maturities24
Improving the Forecast of the Global Gold Price By Combining Marine Predator Algorithm and Cascade-forward Neural Network24
A General Inferential Framework for Singly-Truncated Bivariate Normal Models with Applications in Economics23
Research on the Optimization of Commercial Bank Technology Credit Asset Portfolio Model Under Fractal Distribution23
Transactions Market in Bitcoin: Empirical Analysis of the Demand and Supply Block Space Curves23
On the Estimation of Optimal Cutoffs for Power Laws and the Cross Section of Realized Foreign Exchange Rate Variances22
Watts and Wealth: Forecasting the Economic Pulse of Europe Through Electricity Consumption21
Determining a Credit Transition Matrix from Cumulative Default Probabilities. An Entropy Minimization Approach21
Autoregressive Random Forests: Machine Learning and Lag Selection for Financial Research21
A Bayesian Time-Varying Coefficient Model for Cobb–Douglas Production Function20
A New Look at Cross-Country Aggregation in the Global VAR Approach: Theory and Monte Carlo Simulation20
On the Replication of the Pre-kernel and Related Solutions20
Stochastic Default Risk Estimation Evidence from the South African Financial Market20
Systematic Research on Multi-dimensional and Multiple Correlation Contagion Networks of Extreme Risk in China’s Banking Industry20
Navigating Market Risks in Green Investments in India: An Evaluation of Interest Rate, Equity, Commodity, and Forex Market Influences20
COVID-19 and REITs Crash: Predictability and Market Conditions19
Non-linear Phillips Curve for India: Evidence from Explainable Machine Learning19
Improving Sliding Window Effect of LSTM in Stock Prediction Based on Econometrics Theory19
Numerical Solution for a Time-Fractional Black-Scholes Model Describing European Option18
Does Environmental Decentralisation Affect Industry Green Economy Efficiency? The Moderating Effect of the Institutional Environment18
Numerical Solution of Time-Fractional Black–Scholes PDE by Non-symmetric Interior Penalty Galerkin Method18
A Novel Pythagorean Approach Based Sine-Shaped Fuzzy Data Envelopment Analysis Model: An Assessment of Indian Public Sector Banks17
Research on ESG Investment Efficiency Regulation from the Perspective of Reciprocity and Evolutionary Game17
Construction of the Business Cycle by Phase Synchronization and Principal Component Analysis17
Realized Volatility Forecasting for Stocks and Futures Indices with Rolling CEEMDAN and Machine Learning Models16
Fiscal Policy Towards Optimizing Macroeconomic Indicators by Integrating FRB/US with Reinforcement Learning16
Using CNN to Model Stock Prices16
Bridging Econometrics and AI: VaR Estimation via Reinforcement Learning and GARCH Models15
Forecasting of Gold Prices Using Hybrid Markov Weighted Fuzzy Intuitionistic Crayfish Time Series15
Correction to: OG‑CAT: A Novel Algorithmic Trading Alternative to Investment in Crypto Market15
A Fuzzy Correlation Measurement Framework for Mixed Market Conditions15
A Novel Hybrid Model by Integrating Gated Recurrent Unit Network with Weighted Error-Based Fuzzy Candlestick Model for Stock Market Forecasting15
Electricity Price Prediction using Artificial Neural Network Models: A New and Comparative Analysis with Diverse Industry Production Indices14
Research on Asymmetric Volatility Spillover Effects of Financial Institutions’ Risk Transmission—A Perspective Based on Frequency Domain Decomposition14
Preference Dynamics: A Procedurally Rational Model of Time And Effort Allocation13
A Decision Support System for Identifying the Existence of Information Asymmetry in Regulated Stock Markets13
Geopolitical Risk, Military Expenditure, and Inflation Linkage in Türkiye: Insights from Wavelet-Partial Coherence Analysis13
Is Default Risk Contagious? Evidence from Global Energy Leaders and Environmentally Conscious Energy Firms13
Applications of Machine Learning and Deep Learning Algorithms in Financial Fraud Detection: A Review13
Developing a New Multidimensional Index of Bank Stability and Its Usage in the Design of Optimal Policy Interventions13
Catalyzing Sustainable Investment: Revealing ESG Power in Predicting Fund Performance with Machine Learning13
Volatility Spillovers and Hedging Effectiveness of Green Bonds: A Cross-Regional Analysis13
Integrating Machine Learning Techniques and the Unified Theory of Acceptance and Use of Technology to Evaluate Drivers for the Acceptance of Blockchain-Based Loyalty Programmes12
Dynamic Analysis of Bitcoin Price Under Market News and Sentiments and Government Support Policies12
Explore the Impact Mechanism of Block Chain Technology on China's Carbon Market12
Implementing a Hierarchical Deep Learning Approach for Simulating Multilevel Auction Data12
Uncertainty Indicators as Key Predictors of Oil Volatility: An Interpretable Machine Learning Approach12
Mortgage Loan Data Exploration with Non-parametric Statistical and Machine Learning Perspectives12
Time–Frequency Connectedness Among NFT Assets12
Precision Investing: Combining Gated Recurrent Unit and Sentiment Analysis for Enhanced Stock Market Predictions12
A Novel Prediction Model: ELM-ABC for Annual GDP in the Case of SCO Countries12
Trading Strategy Model Based on Dynamic Programming11
FEIS: A Credit Risk Assessment Model Combining Feature Engineering Approach and Interpretable Submodels11
Do Multilayer Networks Amplify Systemic Risk? Evidence from the Chinese Real Estate Industry11
Testing the Fractal Market Hypothesis Using MFDFA Across Multiple Asset Classes11
An Improved Collocation Based Singular Resilient Numerical Scheme for Time-fractional Generalized Black-Scholes Equations Arising in Financial Derivative Market11
PerRegMod: An R Package for Periodic Coefficients Linear Regression Models11
Exercise Price and Corporate Principal-agent Conflict: Optimizing Equity Incentive Programs Under Fractal Markets11
Two-Population Evolutionary Oligopoly with Partial Cooperation and Partial Hostility11
Examining Challenges in Implied Volatility Forecasting: A Critical Review of Data Leakage and Feature Engineering combined with High-Complexity Models11
Competitive Pricing Using Model-Based Bandits11
Correction to: Precision Cryptocurrency Forecasting: A Hybrid Copula-Temporal Fusion Approach with Environmental and Economic Insights10
Artificial Factors Within the Logit Bankruptcy Model with a Moved Threshold10
Singular Stochastic Differential Equations for Time Evolution of Stocks Within Non-white Noise Approach10
Comparing the Mixed Logit Estimates and True Parameters under Informative and Uninformative Heterogeneity: A Simulated Discrete Choice Experiment10
The Effect of News Photo Sentiment on Stock Price Crash Risk Based on Deep Learning Models10
Copper Price Forecasting Based on Improved Least Squares Support Vector Machine with Butterfly Optimization Algorithm10
An Integrated Framework for Volatility Prediction: Leveraging Decomposition Techniques with Realized GARCH Models10
Improving Portfolio Optimization Results with Bandit Networks10
Mitigating Class Imbalance in Banking Transactions: A Graph-Based GAN Solution for Fraud Detection9
The Effect of the Interest Rate on a Credit System9
Forecasting China’s Short-Term Energy Futures Price Using a Novel Secondary Decomposition-Optimized System9
Deep Reinforcement Learning for Long-Short Portfolio Optimization9
Identification of the Company Groups in Assessing the Risk of Tax Evasion: A Graph Theory Approach9
American Option Valuation Under the Framework of CGMY Model with Regime-Switching Process9
A Novel Hybrid Ensemble Framework for Stock Price Prediction: Combining Bagging, Boosting, Dagging, and Stacking9
Building the Point Forecasting Model for Time Series based on the Improved Fuzzy Relationship and Predictive Principle9
Research of Dempster-Shafer’s Theory and Ensemble Classifier Financial Risk Early Warning Model Based on Benford’s Law8
The Asymmetric Effect of COVID-19 Pandemic on the US Market Risk Premium: Evidence from AEGAS-M Model8
Decentralized Online Portfolio Selection with Transaction Costs8
Unveiling the Determinants of Competitive Industrial Performance Index (CIP) Evolution: a Machine Learning Approach to Midterm Dynamics8
Is cryptocurrency Efficient? A High-Frequency Asymmetric Multifractality Analysis8
Optimal Incentives for Eco-Environment-Oriented Development of Disused Mines Based on Differential Games: Ecological Rehabilitation Compensation or Carbon Quota Exchange8
Determinants and Pathways for Inclusive Growth in China: Investigation Based on Artificial Intelligence (AI) Algorithm8
Correction to: The Spherical Parametrisation for Correlation Matrices and its Computational Advantages8
A Novel Advanced Time Series Forecasting: Integrating DSES and HA-ED-BiGRU with Nipuna Activation Function8
Moran Evolution Analysis of Enterprise Technological Innovation, Transformation and Upgrading Strategy in the Digital Economy8
Heterogeneous Entrepreneurial Will and Aggregate Fluctuations: A Reassessment of the Standard Keynesian Macro Model8
Going a Step Deeper Down the Rabbit Hole: Deep Learning Model to Measure the Size of the Unregistered Economy Activity8
Predicting Credit Default Risk Crisis of Government Implicit Debt: An Interpretable Machine Learning Approach8
Efficient Market Hypothesis Versus Multifractality: Evidence from the Stablecoin Market8
Feature Expansion Effect Approach for Improving Stock Price Prediction Performance8
Explaining Mortgage Defaults Using SHAP and LASSO7
Dynamic Interactions in Futures Markets: Exploring Transitory and Persistent Intraday Volatility Linkages among Oil, Gold, Stocks, and Forex Markets7
Building Automated Computational Models for Predicting Energy Consumption in High-Performance Concrete Production7
Modelling Mixed-Frequency Time Series with Structural Change7
Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches7
Portfolio Optimization During the COVID-19 Epidemic: Based on an Improved QBAS Algorithm and a Dynamic Mixed Frequency Model7
Horizon-Adaptive Extreme Risk Quantification for Cryptocurrency Assets7
A New Fractal Method for the Modelling and Analysis of Financial Time Series7
Deep Learning Model for Fusing Spatial and Temporal Data for Stock Market Prediction7
Bitcoin Price Prediction Using Sentiment Analysis and Empirical Mode Decomposition7
Role of Economic Policy Uncertainty in Energy Commodities Prices Forecasting: Evidence from a Hybrid Deep Learning Approach7
Imposing Monotonicity in Stochastic Frontier Models: An Iterative Nonlinear Least Squares Procedure7
The Impact of Wealth Inequality on Economic Growth: A Machine Learning Approach7
A K-line Pattern Combinations Stock Return Prediction Method Using Deep Deterministic Policy Gradient7
Dynamic Neuroplastic Networks for Financial Decision Making: A Self-Adaptive Approach for Mitigating Catastrophic Forgetting in Continual Learning7
Building Technical Analysis Strategies Using Multivariate Longitudinal and Time-to-Event Data in Stock Markets7
Stability and Error Estimates of Operator Splitting Methods on a Variable Space-Time Grid for American Options with Jumps7
Integrating Weak Aggregating Algorithm and Reinforcement Learning for Online Portfolio Selection: The WARL Strategy7
Dynamic Spillover Effect Among Carbon Markets and Green Energy Sector: New Evidence from Complex Network Perspective7
Explaining the Stylized Facts of Foreign Exchange Markets with a Simple Agent-based Version of Paul de Grauwe’s Chaotic Exchange Rate Model7
Trading Signal Survival Analysis: A Framework for Enhancing Technical Analysis Strategies in Stock Markets7
Bayesian Quantile Regression Analysis for Bivariate Vector Autoregressive Models with an Application to Financial Time Series7
Should the Occupational Pension Plans’ Investment be Long-Term or Short-Term? Evidence from China7
k-QREM: Integrating Hierarchical Structures to Optimize Bounded Rationality Modeling7
Contemporary Approaches to Hybrid Forecasting7
Opinion Dynamics with Preference Matching: How the Desire to Meet Facilitates Opinion Exchange6
Financial Time Series Prediction Using Pelican Optimized Extreme Learning Machine with Reduced Weights6
Decentralized Storage Cryptocurrencies: An Innovative Network-Based Model for Identifying Effective Entities and Forecasting Future Price Trends6
Examining the dynamic efficiency of NASDAQ insurance stock markets before and after the March 2020 crash6
Morlet Wavelet Neural Network Simulation for Nonlinear Finance Model: an Intelligent and Comparative analysis6
Implicit-Explicit Local Radial Point Interpolation Methods for Pricing Options with Liquidity Shocks6
Random Forests with Economic Roots: Explaining Machine Learning in Hedonic Imputation6
Solving Linear DSGE Models with Bernoulli Iterations6
Explainable Bank Failure Prediction Models: Counterfactual Explanations to Reduce the Failure Risk6
Intelligent Stock Price Prediction Model Research Integrating Multimodal Information and KAN Networks6
A Comparison of Different Rules on Loans Evaluation in Peer-to-Peer Lending by Gradient Boosting Models Under Moving Windows with Two Timestamps6
GARCHNet: Value-at-Risk Forecasting with GARCH Models Based on Neural Networks6
Research on the Diffusion Mechanism of Digital Financial Services: An Evolutionary Game Model in Complex Network6
An Efficient IMEX Compact Scheme for the Coupled Time Fractional Integro-Differential Equations Arising from Option Pricing with Jumps6
Grain Price Fluctuation: A Network Evolution Approach Based on a Distributed Lag Model6
Financial Markets and Individual Attitudes: The Stick-balancing Model6
Computing Longitudinal Moments for Heterogeneous Agent Models6
Data Imputation in Large Datasets: A Comparative Study of PCA and Machine Learning Approaches6
Optimal Time Varying Parameters in Yield Curve Modeling and Forecasting: A Simulation Study on BRICS Countries6
We-media Advertising Investment Strategy of Enterprises in the Mobile Internet Environment6
Parallel Computation of Sovereign Default Models6
Interacting Cobweb Demands6
Panel Interval-Valued Data Nonlinear Regression Models and Applications6
Carbon Taxes and Inflationary Pressures: A DSGE Exploration of Economic Responses and Macroeconomic Challenges6
Asset Prices with Investor Protection in the Cross-Sectional Economy6
Predicting ESG Ratings with Recurrent Neural Network Models: Evidence from China’s A-share Listed Companies6
MLSC: A Multi-label Stock Classifier for Multi-horizon Stock Trend Prediction6
Britaly? Identifying Euro Area Historical Analogues to the UK’S 2022 Bond Market Shock6
Statistical Evaluation of Deep Learning Models for Stock Return Forecasting6
Heuristic Stochastic Controller for Stabilizing Exchange Rate Dynamics Under Uncertainty6
Evaluating Quantile Treatment Effects with Machine Learning: An Application to the Informal Sector Wage Gap6
Estimating Input Coefficients for Regional Input–Output Tables Using Deep Learning with Mixup6
Pricing of Vulnerable Timer Options6
Predicting the Brazilian Stock Market with Sentiment Analysis, Technical Indicators and Stock Prices: A Deep Learning Approach6
An Examination of Alternative LQ-Based Approaches to Computing Regional Input–Output Coefficients5
Pricing Convertible Bonds Based on GAN and Transformer5
A Novel Mean–Variance-Entropy Portfolio with Two-Parameter Coherent Triangular Intuitionistic Fuzzy Number5
Approximate Bayesian Estimation of Stochastic Volatility in Mean Models Using Hidden Markov Models: Empirical Evidence from Emerging and Developed Markets5
Asymmetric shock persistence in the OECD Stock Exchanges: New Insight from Quantile Exponential Smooth Transition Autoregression Approach5
Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy5
Forecasting Global CO2 Emissions Under Economic, Geopolitical, and Policy Uncertainties: A Novel Hybrid Model5
Time-Varying Connectedness Among Oil Price Shocks, Global Conditions, and Financial Stress in South and Southeast Asian Markets5
Dynamic Interlinkages between the Twitter Uncertainty Index and the Green Bond Market: Evidence from the Covid-19 Pandemic and the Russian-Ukrainian Conflict5
Deep Kusuoka Approximation: High-Order Spatial Approximation for Solving High-Dimensional Kolmogorov Equations and Its Application to Finance5
Correction: Non‑linear Cointegration Test, Based on Record Counting Statistic5
Accuracy in Recursive Minimal State Space Methods5
Stochastic Exchange Rate Dynamics, Intervention Dynamics and the Market Efficiency Hypothesis5
Optimizing Multivariate Time Series Forecasting with LSTM: A Hybrid Scaling and Layer Normalization Framework Utilizing Logistic and Sigmoid-Curve transformations for Enhanced Predictive Accuracy5
WaveESN–RegimeMLP: GA-Tuned Reservoirs and Regime-Aware Multiscale Forecasting5
Simulating and Pricing CAT Bonds Using the Spectral Method Based on Chebyshev Basis5
Correction to: Navigating Market Risks in Green Investments in India: an Evaluation of Interest Rate, Equity, Commodity, and Forex Market Influences5
Real-Time Forecast of BIST100 Index Under Market Volatility and Uncertainty5
Do Bitcoin ETFs Lead Price Discovery Following their Introduction in the Bitcoin Market?5
Nowcasting South Korea’s 1990s Unemployment Rate with News Sentiment5
Bayesian Network in Machine Learning: An Empirical Investigation to Assess the Price Clustering Model During Crises5
Identification of Performative ESG Behaviors Using Explainable Machine Learning5
Enhancing Stock Price Forecasting with Deep Learning: Insights from the Saudi Stock Market5
Simultaneous Confidence Intervals for Multi-way Clustered Stock Return Data5
Portfolio Selection Based on EMD Denoising with Correlation Coefficient Test Criterion5
Investor Structure and Corn Futures Price Volatility in China: Evidence Based on the Agent-Based Model5
Forecasting Bitcoin Volatility and Value-at-Risk Using Stacking Machine Learning Models With Intraday Data5
Increasing the Hong Kong Stock Market Predictability: A Temporal Convolutional Network Approach5
A Discourse Analysis of Tweets and Its Implications for Cryptocurrency Prices and Trade Volumes5
Stationary Markov Equilibrium Strategies in Stochastic Games: Existence and Computation5
Evaluating Bank Efficiency with Risk Management by Optimal Common Resource and Three-Parallel Two-Stage Dynamic DEA Model5
Applying Multi-Critic Deep Deterministic Policy Gradient for Effective Selection of Macroeconomic Announcements in Forex Trading5
System Dynamics Modeling and Analysis of New Mexico Oil Production and Taxation5
Second-Order Asymptotic Pricing of Bivariate Options Under the General Stochastic Volatility Jump-Diffusion Model5
Robust Portfolio Optimization via Linear Deviation Risk Measures5
Option Valuation with Conditional Heteroskedastic Hidden Truncation Models5
Exploring Nexus Between Oil Price Shocks and Copper Production: Analysing the Role of Mineral Prices and Geopolitical Factors in Saudi Arabia5
Estimation of Rank-Ordered Regret Minimization Models5
Editorial to the Special Issue on Game Theory5
Deciphering the Influence of the Tone of Management Discussion and Analysis on Corporate Innovation: Integrating Textual Analysis with Empirical Corporate Data5
Mitigating Information Asymmetry in the Intelligent Transformation of New Energy Vehicles: An Evolutionary Game Approach4
Application of the Deep Learning Integrated Framework CEEMDAN-GRU-Informer in Financial Time Series Prediction4
Default Risk Identification of Chinese Corporate Bonds Using Interpretable Machine Learning4
An Analysis of the Temporal Impact of Investor Sentiment and Attention on Stock Liquidity Using Deep Learning4
A Hybrid Parallel Processing Strategy for Large-Scale DEA Computation4
Perturbating and Estimating DSGE Models in Julia4
Asymptotic Dynamics in a Multi-market Delayed Cobweb Model4
Comparison of Value at Risk (VaR) Multivariate Forecast Models4
The Risk Transmission Mechanism of Global Stock Markets from the Perspective of Entropy-Riemann Geometry: Theoretical Construction and Empirical Analysis4
Portfolio with Copula-GARCH and Black-Litterman Model Using a Novel View Error Matrix4
A Time-Dependent Markovian Model of a Limit Order Book4
Correlation Structure of the Spanish Stock Market Around COVID-19 Using Random Matrix Theory4
Time–Frequency Connectedness Between Oil Price Shocks and Stock Returns Under Bullish and Bearish Market States: Evidence from African Oil Importers and Exporters4
Intelligent Prediction of Annual CO2 Emissions Under Data Decomposition Mode4
Market Ecology: Trading Strategies and Market Volatility4
Optimal Exercise and Pricing of Swing Options with Global Constraints under the Regime-Switching Model4
The Factors Influencing China’s Population Distribution and Spatial Heterogeneity: Based on Multi-source Remote Sensing Data4
The European Gas Market Integration During 2018–20244
Analysis of Gold, Bitcoin, and Gold-Backed Cryptocurrencies as Safe Havens during Global Crises: A Focus on Artificial Intelligence Companies4
Preference-based Segments from Mixed Logit, Latent Class, and Latent Class Mixed Logit Models: A Monte Carlo Comparison4
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 Policy4
ARDL: An R Package for ARDL Models and Cointegration4
Decomposition-Ensemble Approach for Realized Volatility Prediction4
An Efficient Numerical Method Based on Exponential B-splines for a Time-Fractional Black–Scholes Equation Governing European Options4
Quantile Interactions and Spillovers among Blue Economy Indices, Bitcoin, VIX, and Traditional Assets during Crises4
Application of a Dual-Stream Hybrid Network for Exchange Rate Prediction4
Computational Approaches To Financial Markets, Risk, and Decision-Making4
Panel Stochastic Frontier Analysis with Positive Skewness4
Generalized Shifted Chebyshev Polynomials for Time Fractional Black-Scholes Model4
Extreme Value Index Estimation for Catastrophe Risk Evaluation Using Stacking Ensemble Model4
Financial Contagion Through the Pan-European Financial Network: Spillover Effect on the Western Balkans4
Impact of Macroeconomics Factors on Cryptocurrency Pricing: Evidence from Bitcoin and Ethereum Markets4
Risk Forecasting in Financial Management for Public Companies Using Efficient Multi-layer Diffusion Sea-horse Kernel Convolutional Spiking Attention Neural Network in the Digital Economy4
Study on the Improvement of Carbon Trading Mechanism and Integration of Low Carbon Energy System under Bi-Level Optimal Dispatch Strategy4
Machine Learning XAI for Early Loan Default Prediction4
A Multidimensional Approach To the Measurement and Classification of Stock Market Inefficiency Across Economies4
Credit Rating Model Based on the Difference in Loan Amounts4
Analyzing Stationarity in World Coffee Prices4
Introducing a Nonlinear Macroeconomic Model Based on TE, SINDYC, and Phase Plane Analysis4
Unleashing the Potential of Mixed Frequency Data: Measuring Risk with Dynamic Tail Index Regression Model4
Wealth Redistribution and Strategic Behavior under Delayed Retirement: A Fokker–Planck and Mean-Field Game Approach4
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