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 2022-05-01 to 2026-05-01.)
ArticleCitations
An Automated Market Maker Algorithm for Fixed-Rate Trading with Flexible Maturities69
Estimation of Models for Stock Returns61
A General Inferential Framework for Singly-Truncated Bivariate Normal Models with Applications in Economics47
On the Optimal Size and Composition of Customs Unions: An Evolutionary Approach46
Operator Splitting Method to Solve the Linear Complementarity Problem for Pricing American Option: An Approximation of Error41
Optimization of Asset Allocation and Liquidation Time in Investment Decisions with VaR as a Risk Measure40
Risk Evaluation and Early Warning Study on Supply of Critical Minerals for China's Chip Industry37
On the Estimation of Optimal Cutoffs for Power Laws and the Cross Section of Realized Foreign Exchange Rate Variances34
Comparative Analysis of Turkish and German Stock-Markets as a Hedge Product Against Inflation by Using Machine Learning Algorithms34
Determining a Credit Transition Matrix from Cumulative Default Probabilities. An Entropy Minimization Approach33
Autoregressive Random Forests: Machine Learning and Lag Selection for Financial Research27
Watts and Wealth: Forecasting the Economic Pulse of Europe Through Electricity Consumption26
A Novel Data Fusion Method for Multi-Dimensional Temporal Data Forecasting of Financial Homologous26
Systematic Research on Multi-dimensional and Multiple Correlation Contagion Networks of Extreme Risk in China’s Banking Industry25
Explainable Hybrid Recurrent Models for Stock Price Prediction: Integrating Attention for Transparency23
Transactions Market in Bitcoin: Empirical Analysis of the Demand and Supply Block Space Curves22
Volatility Dynamics and Mixed Jump-GARCH Model Based Jump Detection in Financial Markets22
Computing Aggregate Fluctuations of Economies with Private Information22
Dynamics in Realized Volatility Forecasting: Evaluating GARCH Models and Deep Learning Algorithms Across Parameter Variations21
Numerical Solution of Passport Option Pricing Problem with Polynomial Neural Networks21
Measuring Inflation Expectations Using Artificial Intelligence21
Research on the Operation, Market and ESG Efficiency of China's Local Commercial Banks in the Context of COVID-1920
Research on the Optimization of Commercial Bank Technology Credit Asset Portfolio Model Under Fractal Distribution20
Financial Stress in Asean + 3 Economies: Risk Regime Identification and Predictability20
Deep Learning for Solving and Estimating Dynamic Macro-finance Models20
Improving the Forecast of the Global Gold Price By Combining Marine Predator Algorithm and Cascade-forward Neural Network19
On Forecasting Realized Volatility for Bitcoin Based on Deep Learning PSO–GRU Model19
Navigating Market Risks in Green Investments in India: An Evaluation of Interest Rate, Equity, Commodity, and Forex Market Influences19
Detection of Uncertainty Events in the Brazilian Economic and Financial Time Series18
On the Replication of the Pre-kernel and Related Solutions18
A Bayesian Time-Varying Coefficient Model for Cobb–Douglas Production Function18
The Model Dimensionality and Its Impacts on the Strategic and Policy Outcomes in IAMs the Findings from the RICE2020 Model17
A New Look at Cross-Country Aggregation in the Global VAR Approach: Theory and Monte Carlo Simulation17
Geopolitical Risk, Military Expenditure, and Inflation Linkage in Türkiye: Insights from Wavelet-Partial Coherence Analysis17
Stochastic Default Risk Estimation Evidence from the South African Financial Market17
Electricity Price Prediction using Artificial Neural Network Models: A New and Comparative Analysis with Diverse Industry Production Indices17
Integrating Machine Learning Techniques and the Unified Theory of Acceptance and Use of Technology to Evaluate Drivers for the Acceptance of Blockchain-Based Loyalty Programmes16
Preference Dynamics: A Procedurally Rational Model of Time And Effort Allocation15
Numerical Solution of Time-Fractional Black–Scholes PDE by Non-symmetric Interior Penalty Galerkin Method15
Does Environmental Decentralisation Affect Industry Green Economy Efficiency? The Moderating Effect of the Institutional Environment15
Catalyzing Sustainable Investment: Revealing ESG Power in Predicting Fund Performance with Machine Learning15
Bridging Econometrics and AI: VaR Estimation via Reinforcement Learning and GARCH Models14
Numerical Solution for a Time-Fractional Black-Scholes Model Describing European Option14
A Decision Support System for Identifying the Existence of Information Asymmetry in Regulated Stock Markets14
Applications of Machine Learning and Deep Learning Algorithms in Financial Fraud Detection: A Review14
Improving Sliding Window Effect of LSTM in Stock Prediction Based on Econometrics Theory14
Construction of the Business Cycle by Phase Synchronization and Principal Component Analysis14
Correction to: OG‑CAT: A Novel Algorithmic Trading Alternative to Investment in Crypto Market13
Volatility Spillovers and Hedging Effectiveness of Green Bonds: A Cross-Regional Analysis13
Time–Frequency Connectedness Among NFT Assets13
A Novel Pythagorean Approach Based Sine-Shaped Fuzzy Data Envelopment Analysis Model: An Assessment of Indian Public Sector Banks13
A Novel Hybrid Model by Integrating Gated Recurrent Unit Network with Weighted Error-Based Fuzzy Candlestick Model for Stock Market Forecasting13
Implementing a Hierarchical Deep Learning Approach for Simulating Multilevel Auction Data13
Forecasting of Gold Prices Using Hybrid Markov Weighted Fuzzy Intuitionistic Crayfish Time Series12
COVID-19 and REITs Crash: Predictability and Market Conditions12
Non-linear Phillips Curve for India: Evidence from Explainable Machine Learning12
Uncertainty Indicators as Key Predictors of Oil Volatility: An Interpretable Machine Learning Approach12
Research on Asymmetric Volatility Spillover Effects of Financial Institutions’ Risk Transmission—A Perspective Based on Frequency Domain Decomposition12
Using CNN to Model Stock Prices11
Dynamic Analysis of Bitcoin Price Under Market News and Sentiments and Government Support Policies11
Fiscal Policy Towards Optimizing Macroeconomic Indicators by Integrating FRB/US with Reinforcement Learning11
Developing a New Multidimensional Index of Bank Stability and Its Usage in the Design of Optimal Policy Interventions11
Realized Volatility Forecasting for Stocks and Futures Indices with Rolling CEEMDAN and Machine Learning Models11
Research on ESG Investment Efficiency Regulation from the Perspective of Reciprocity and Evolutionary Game11
A Fuzzy Correlation Measurement Framework for Mixed Market Conditions11
Singular Stochastic Differential Equations for Time Evolution of Stocks Within Non-white Noise Approach11
Is Default Risk Contagious? Evidence from Global Energy Leaders and Environmentally Conscious Energy Firms11
Artificial Factors Within the Logit Bankruptcy Model with a Moved Threshold10
Do Multilayer Networks Amplify Systemic Risk? Evidence from the Chinese Real Estate Industry10
Correction to: Precision Cryptocurrency Forecasting: A Hybrid Copula-Temporal Fusion Approach with Environmental and Economic Insights10
Improving Portfolio Optimization Results with Bandit Networks10
Two-Population Evolutionary Oligopoly with Partial Cooperation and Partial Hostility10
PerRegMod: An R Package for Periodic Coefficients Linear Regression Models10
FEIS: A Credit Risk Assessment Model Combining Feature Engineering Approach and Interpretable Submodels10
Examining Challenges in Implied Volatility Forecasting: A Critical Review of Data Leakage and Feature Engineering combined with High-Complexity Models10
Deep Reinforcement Learning for Long-Short Portfolio Optimization10
Mortgage Loan Data Exploration with Non-parametric Statistical and Machine Learning Perspectives10
The Effect of News Photo Sentiment on Stock Price Crash Risk Based on Deep Learning Models10
Mitigating Class Imbalance in Banking Transactions: A Graph-Based GAN Solution for Fraud Detection9
A Synthetic Data-Plus-Features Driven Approach for Portfolio Optimization9
Comparing the Mixed Logit Estimates and True Parameters under Informative and Uninformative Heterogeneity: A Simulated Discrete Choice Experiment9
Identification of the Company Groups in Assessing the Risk of Tax Evasion: A Graph Theory Approach9
An Improved Collocation Based Singular Resilient Numerical Scheme for Time-fractional Generalized Black-Scholes Equations Arising in Financial Derivative Market9
Exercise Price and Corporate Principal-agent Conflict: Optimizing Equity Incentive Programs Under Fractal Markets9
An Integrated Framework for Volatility Prediction: Leveraging Decomposition Techniques with Realized GARCH Models9
Competitive Pricing Using Model-Based Bandits9
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 Classes9
Trading Strategy Model Based on Dynamic Programming9
Explore the Impact Mechanism of Block Chain Technology on China's Carbon Market9
Imposing Monotonicity in Stochastic Frontier Models: An Iterative Nonlinear Least Squares Procedure8
Copper Price Forecasting Based on Improved Least Squares Support Vector Machine with Butterfly Optimization Algorithm8
American Option Valuation Under the Framework of CGMY Model with Regime-Switching Process8
Dynamic Spillover Effect Among Carbon Markets and Green Energy Sector: New Evidence from Complex Network Perspective8
Feature Expansion Effect Approach for Improving Stock Price Prediction Performance8
Spatial Interactions and the Spread of COVID-19: A Network Perspective8
The Asymmetric Effect of COVID-19 Pandemic on the US Market Risk Premium: Evidence from AEGAS-M Model8
A Novel Hybrid Ensemble Framework for Stock Price Prediction: Combining Bagging, Boosting, Dagging, and Stacking8
The Effect of the Interest Rate on a Credit System8
Decentralized Online Portfolio Selection with Transaction Costs8
Explaining the Stylized Facts of Foreign Exchange Markets with a Simple Agent-based Version of Paul de Grauwe’s Chaotic Exchange Rate Model7
Moran Evolution Analysis of Enterprise Technological Innovation, Transformation and Upgrading Strategy in the Digital Economy7
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
The Impact of Wealth Inequality on Economic Growth: A Machine Learning Approach7
Going a Step Deeper Down the Rabbit Hole: Deep Learning Model to Measure the Size of the Unregistered Economy Activity7
A K-line Pattern Combinations Stock Return Prediction Method Using Deep Deterministic Policy Gradient7
Trading Signal Survival Analysis: A Framework for Enhancing Technical Analysis Strategies in Stock Markets7
Determinants and Pathways for Inclusive Growth in China: Investigation Based on Artificial Intelligence (AI) Algorithm7
A Novel Advanced Time Series Forecasting: Integrating DSES and HA-ED-BiGRU with Nipuna Activation Function7
Is cryptocurrency Efficient? A High-Frequency Asymmetric Multifractality Analysis7
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
Predicting Credit Default Risk Crisis of Government Implicit Debt: An Interpretable Machine Learning Approach7
Building Automated Computational Models for Predicting Energy Consumption in High-Performance Concrete Production7
Dynamic Interactions in Futures Markets: Exploring Transitory and Persistent Intraday Volatility Linkages among Oil, Gold, Stocks, and Forex Markets7
Efficient Market Hypothesis Versus Multifractality: Evidence from the Stablecoin Market7
Correction to: The Spherical Parametrisation for Correlation Matrices and its Computational Advantages7
Forecasting China’s Short-Term Energy Futures Price Using a Novel Secondary Decomposition-Optimized System7
Unveiling the Determinants of Competitive Industrial Performance Index (CIP) Evolution: a Machine Learning Approach to Midterm Dynamics7
Heterogeneous Entrepreneurial Will and Aggregate Fluctuations: A Reassessment of the Standard Keynesian Macro Model7
Research of Dempster-Shafer’s Theory and Ensemble Classifier Financial Risk Early Warning Model Based on Benford’s Law7
Modelling Mixed-Frequency Time Series with Structural Change7
Bayesian Quantile Regression Analysis for Bivariate Vector Autoregressive Models with an Application to Financial Time Series7
Random Forests with Economic Roots: Explaining Machine Learning in Hedonic Imputation6
A New Fractal Method for the Modelling and Analysis of Financial Time Series6
Data Imputation in Large Datasets: A Comparative Study of PCA and Machine Learning Approaches6
Horizon-Adaptive Extreme Risk Quantification for Cryptocurrency Assets6
MLSC: A Multi-label Stock Classifier for Multi-horizon Stock Trend Prediction6
Contemporary Approaches to Hybrid Forecasting6
Statistical Evaluation of Deep Learning Models for Stock Return Forecasting6
Estimating Input Coefficients for Regional Input–Output Tables Using Deep Learning with Mixup6
Building Technical Analysis Strategies Using Multivariate Longitudinal and Time-to-Event Data in Stock Markets6
Dynamic Neuroplastic Networks for Financial Decision Making: A Self-Adaptive Approach for Mitigating Catastrophic Forgetting in Continual Learning6
Portfolio Optimization During the COVID-19 Epidemic: Based on an Improved QBAS Algorithm and a Dynamic Mixed Frequency Model6
Stability and Error Estimates of Operator Splitting Methods on a Variable Space-Time Grid for American Options with Jumps6
Should the Occupational Pension Plans’ Investment be Long-Term or Short-Term? Evidence from China6
Explainable Bank Failure Prediction Models: Counterfactual Explanations to Reduce the Failure Risk6
Interacting Cobweb Demands6
Optimal Time Varying Parameters in Yield Curve Modeling and Forecasting: A Simulation Study on BRICS Countries6
Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches6
Solving Linear DSGE Models with Bernoulli Iterations6
Integrating Weak Aggregating Algorithm and Reinforcement Learning for Online Portfolio Selection: The WARL Strategy6
k-QREM: Integrating Hierarchical Structures to Optimize Bounded Rationality Modeling6
Deep Learning Model for Fusing Spatial and Temporal Data for Stock Market Prediction6
Explaining Mortgage Defaults Using SHAP and LASSO6
Computing Longitudinal Moments for Heterogeneous Agent Models6
Grain Price Fluctuation: A Network Evolution Approach Based on a Distributed Lag Model5
Predicting ESG Ratings with Recurrent Neural Network Models: Evidence from China’s A-share Listed Companies5
Financial Time Series Prediction Using Pelican Optimized Extreme Learning Machine with Reduced Weights5
Asset Prices with Investor Protection in the Cross-Sectional Economy5
Increasing the Hong Kong Stock Market Predictability: A Temporal Convolutional Network Approach5
Implicit-Explicit Local Radial Point Interpolation Methods for Pricing Options with Liquidity Shocks5
Stochastic Exchange Rate Dynamics, Intervention Dynamics and the Market Efficiency Hypothesis5
Carbon Taxes and Inflationary Pressures: A DSGE Exploration of Economic Responses and Macroeconomic Challenges5
A Comparison of Different Rules on Loans Evaluation in Peer-to-Peer Lending by Gradient Boosting Models Under Moving Windows with Two Timestamps5
Decentralized Storage Cryptocurrencies: An Innovative Network-Based Model for Identifying Effective Entities and Forecasting Future Price Trends5
Research on the Diffusion Mechanism of Digital Financial Services: An Evolutionary Game Model in Complex Network5
Optimizing Multivariate Time Series Forecasting with LSTM: A Hybrid Scaling and Layer Normalization Framework Utilizing Logistic and Sigmoid-Curve transformations for Enhanced Predictive Accuracy5
GARCHNet: Value-at-Risk Forecasting with GARCH Models Based on Neural Networks5
Morlet Wavelet Neural Network Simulation for Nonlinear Finance Model: an Intelligent and Comparative analysis5
Britaly? Identifying Euro Area Historical Analogues to the UK’S 2022 Bond Market Shock5
Financial Markets and Individual Attitudes: The Stick-balancing Model5
Investigating the Asymmetric Behavior of Oil Price Volatility Using Support Vector Regression5
Intelligent Stock Price Prediction Model Research Integrating Multimodal Information and KAN Networks5
Simulating and Pricing CAT Bonds Using the Spectral Method Based on Chebyshev Basis5
An Efficient IMEX Compact Scheme for the Coupled Time Fractional Integro-Differential Equations Arising from Option Pricing with Jumps5
Panel Interval-Valued Data Nonlinear Regression Models and Applications5
Parallel Computation of Sovereign Default Models5
Opinion Dynamics with Preference Matching: How the Desire to Meet Facilitates Opinion Exchange5
A Novel Mean–Variance-Entropy Portfolio with Two-Parameter Coherent Triangular Intuitionistic Fuzzy Number5
Pricing of Vulnerable Timer Options5
Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy4
A Multidimensional Approach To the Measurement and Classification of Stock Market Inefficiency Across Economies4
Correlation Structure of the Spanish Stock Market Around COVID-19 Using Random Matrix Theory4
Enhancing Stock Price Forecasting with Deep Learning: Insights from the Saudi Stock Market4
Perturbating and Estimating DSGE Models in Julia4
Simultaneous Confidence Intervals for Multi-way Clustered Stock Return Data4
Correction: Non‑linear Cointegration Test, Based on Record Counting Statistic4
Time-Varying Connectedness Among Oil Price Shocks, Global Conditions, and Financial Stress in South and Southeast Asian Markets4
Identification of Performative ESG Behaviors Using Explainable Machine Learning4
Estimation of Rank-Ordered Regret Minimization Models4
WaveESN–RegimeMLP: GA-Tuned Reservoirs and Regime-Aware Multiscale Forecasting4
Editorial to the Special Issue on Game Theory4
Real-Time Forecast of BIST100 Index Under Market Volatility and Uncertainty4
Examining the dynamic efficiency of NASDAQ insurance stock markets before and after the March 2020 crash4
Approximate Bayesian Estimation of Stochastic Volatility in Mean Models Using Hidden Markov Models: Empirical Evidence from Emerging and Developed Markets4
Machine Learning XAI for Early Loan Default Prediction4
Time–Frequency Connectedness Between Oil Price Shocks and Stock Returns Under Bullish and Bearish Market States: Evidence from African Oil Importers and Exporters4
Stationary Markov Equilibrium Strategies in Stochastic Games: Existence and Computation4
An Efficient Numerical Method Based on Exponential B-splines for a Time-Fractional Black–Scholes Equation Governing European Options4
Analyzing Stationarity in World Coffee Prices4
Forecasting Global CO2 Emissions Under Economic, Geopolitical, and Policy Uncertainties: A Novel Hybrid Model4
Unleashing the Potential of Mixed Frequency Data: Measuring Risk with Dynamic Tail Index Regression Model4
A Discourse Analysis of Tweets and Its Implications for Cryptocurrency Prices and Trade Volumes4
Correction to: Navigating Market Risks in Green Investments in India: an Evaluation of Interest Rate, Equity, Commodity, and Forex Market Influences4
Portfolio Selection Based on EMD Denoising with Correlation Coefficient Test Criterion4
Nowcasting South Korea’s 1990s Unemployment Rate with News Sentiment4
Accuracy in Recursive Minimal State Space Methods4
Robust Portfolio Optimization via Linear Deviation Risk Measures4
Predicting the Brazilian Stock Market with Sentiment Analysis, Technical Indicators and Stock Prices: A Deep Learning Approach4
We-media Advertising Investment Strategy of Enterprises in the Mobile Internet Environment4
Evaluating Bank Efficiency with Risk Management by Optimal Common Resource and Three-Parallel Two-Stage Dynamic DEA Model4
Asymmetric shock persistence in the OECD Stock Exchanges: New Insight from Quantile Exponential Smooth Transition Autoregression Approach4
An Analysis of the Temporal Impact of Investor Sentiment and Attention on Stock Liquidity Using Deep Learning4
Do Bitcoin ETFs Lead Price Discovery Following their Introduction in the Bitcoin Market?4
Comparison of Value at Risk (VaR) Multivariate Forecast Models4
How does Digital Technology Influence Natural Resource Use: A Global Perspective4
Applying Multi-Critic Deep Deterministic Policy Gradient for Effective Selection of Macroeconomic Announcements in Forex Trading4
A Time-Dependent Markovian Model of a Limit Order Book4
Second-Order Asymptotic Pricing of Bivariate Options Under the General Stochastic Volatility Jump-Diffusion Model4
Exploring Nexus Between Oil Price Shocks and Copper Production: Analysing the Role of Mineral Prices and Geopolitical Factors in Saudi Arabia4
Bayesian Network in Machine Learning: An Empirical Investigation to Assess the Price Clustering Model During Crises4
Option Valuation with Conditional Heteroskedastic Hidden Truncation Models4
An Examination of Alternative LQ-Based Approaches to Computing Regional Input–Output Coefficients4
Investor Structure and Corn Futures Price Volatility in China: Evidence Based on the Agent-Based Model4
System Dynamics Modeling and Analysis of New Mexico Oil Production and Taxation4
Deep Kusuoka Approximation: High-Order Spatial Approximation for Solving High-Dimensional Kolmogorov Equations and Its Application to Finance4
Dynamic Interlinkages between the Twitter Uncertainty Index and the Green Bond Market: Evidence from the Covid-19 Pandemic and the Russian-Ukrainian Conflict4
Forecasting Bitcoin Volatility and Value-at-Risk Using Stacking Machine Learning Models With Intraday Data4
Deciphering the Influence of the Tone of Management Discussion and Analysis on Corporate Innovation: Integrating Textual Analysis with Empirical Corporate Data4
Pricing Convertible Bonds Based on GAN and Transformer4
Portfolio with Copula-GARCH and Black-Litterman Model Using a Novel View Error Matrix4
The European Gas Market Integration During 2018–20244
Environmental Regulation and Green Technology Innovation: An Evolutionary Game Analysis Between Government and High Energy Consuming Enterprises3
A Study on Tail Risk Contagion Between China’s Edible Oil Futures Market and Financial Markets: a Complex Network-Based Perspective3
Estimation of Distribution Dependence Structures Using time-varying Copulas in R3
A Convergent Fourth-Order Finite Difference Scheme for the Black–Scholes Equation3
Deep Learning-based VVIX Forecasting with Time Series Image Encoding and Hybrid ResNet-LSTM Model3
Directed association network analysis on the Standard and Poor’s 500 Index3
The Dynamic Impact of Epidemic Shock on China’s Macro Economy from the Household Heterogeneity Perspective: Simulation Analysis Based on COVID-19 Data3
Comprehensive Stock Market Insight: Bayesian Networks for Multi-output Forecasting3
Assessing Ethereum’s Diversification Role with Bitcoin and Major Equity Index – A Bayesian Mixture Copula Approach3
A Direct Nonparametric Estimator for EVaR of Dependent Financial Returns3
New Unit Root Tests in the Nonlinear ESTAR Framework: The Movement and Volatility Characteristics of Crude oil and Copper Prices3
Estimating Income Distributions From Grouped Data: A Minimum Quantile Distance Approach3
Decomposition-Ensemble Approach for Realized Volatility Prediction3
Application of the Deep Learning Integrated Framework CEEMDAN-GRU-Informer in Financial Time Series Prediction3
A Synergetic Approach to Ethereum Option Valuation Using XGBoost and Soft Reordering 1D Convolutional Neural Networks3
Forecasting Volatility Using Hybrid Machine Learning Method: Sequencing Block, Multi-layer Perceptron, and Bayesian Optimization3
Greymodels: A Shiny Package for Grey Forecasting Models in R3
An Identification and Estimation of Stock Price Pattern Equations using K-Means3
Advanced Deep Statistical Learning Approach for Forecasting Global Economic Policy Uncertainty and Volatility3
Assessing Environmental and Health Efficiency for Sustainable Development of European Union Countries3
Dynamic Factor Mining Based on Multi-Objective Fitness and Its Empirical Study in Multi-Factor Strategies3
Vine Copula Approach to Understand the Financial Dependence of the Istanbul Stock Exchange Index3
Compact Finite Difference Scheme with Hermite Interpolation for Pricing American Put Options Based on Regime Switching Model3
Learning Bermudans3
Insights on the Theory of Robust Games3
Bayesian Inference for Mixed Gaussian GARCH-Type Model by Hamiltonian Monte Carlo Algorithm3
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