Algorithmic TransparencyDesigning a Data Governance Model for Explainable AI-Based Financial Systems [Volume 2, Issue 2, 2026, Pages 38-56]
Artificial intelligenceIntelligent Sustainability Scoring Model Design for Listed Companies Using a Graph Neural Network Approach [Volume 2, Issue 1, 2026, Pages 21-37]
Automated Market Maker (AMM)Designing a MEV-Resistant Automated Market Maker for Decentralized Finance Platforms via Multi-Agent Reinforcement Learning-Based Continuous Curve Optimization [Volume 2, Issue 1, 2026, Pages 76-91]
B
Behavioral biasesDevelopment of a Personalized Robo-Advisor System Considering Investors’ Behavioral Biases Using Deep Reinforcement Learning [Volume 2, Issue 1, 2026, Pages 1-18]
Behavioral FinanceDevelopment of a Personalized Robo-Advisor System Considering Investors’ Behavioral Biases Using Deep Reinforcement Learning [Volume 2, Issue 1, 2026, Pages 1-18]
Big Data analyticsDesigning an Early Warning System for Corporate Bankruptcy Using Big Data Analytics [Volume 2, Issue 2, 2026, Pages 22-37]
C
Classical AlgorithmsDeveloping a Real Options Pricing Framework Using Hybrid Quantum–Classical Algorithms and Advanced Monte Carlo Simulation for the Evaluation of Smart Infrastructure Projects [Volume 2, Issue 1, 2026, Pages 56-75]
Continuous Bonding CurveDesigning a MEV-Resistant Automated Market Maker for Decentralized Finance Platforms via Multi-Agent Reinforcement Learning-Based Continuous Curve Optimization [Volume 2, Issue 1, 2026, Pages 76-91]
CryptocurrencyPredicting Cryptocurrency Market Volatility Using Deep Learning and Social Media Sentiment Data [Volume 2, Issue 2, 2026, Pages 1-21]
D
Data GovernanceDesigning a Data Governance Model for Explainable AI-Based Financial Systems [Volume 2, Issue 2, 2026, Pages 38-56]
Decarbonized assetsDynamic Multi-Objective Optimization of Decarbonized Asset Portfolios under Geopolitical Uncertainty Using Hybrid Metaheuristic Algorithms and Recurrent Deep Learning [Volume 2, Issue 1, 2026, Pages 38-55]
Decentralized Finance (DeFi)Designing a MEV-Resistant Automated Market Maker for Decentralized Finance Platforms via Multi-Agent Reinforcement Learning-Based Continuous Curve Optimization [Volume 2, Issue 1, 2026, Pages 76-91]
Deep LearningIntelligent Sustainability Scoring Model Design for Listed Companies Using a Graph Neural Network Approach [Volume 2, Issue 1, 2026, Pages 21-37]
Deep reinforcement learningDevelopment of a Personalized Robo-Advisor System Considering Investors’ Behavioral Biases Using Deep Reinforcement Learning [Volume 2, Issue 1, 2026, Pages 1-18]
Digital behavioral economicsThe Role of Digital Behavioral Economics in Designing Smart Financial Products [Volume 2, Issue 2, 2026, Pages 57-75]
E
Early Warning SystemDesigning an Early Warning System for Corporate Bankruptcy Using Big Data Analytics [Volume 2, Issue 2, 2026, Pages 22-37]
Explainable Artificial IntelligenceDesigning a Data Governance Model for Explainable AI-Based Financial Systems [Volume 2, Issue 2, 2026, Pages 38-56]
F
Federated LearningFederated Distributed Learning Architecture Based on Stochastic Artificial Intelligence for Identifying Evolving Fraud Patterns in Financial Messaging Systems [Volume 2, Issue 1, 2026, Pages 92-108]
Financial Fraud DetectionFederated Distributed Learning Architecture Based on Stochastic Artificial Intelligence for Identifying Evolving Fraud Patterns in Financial Messaging Systems [Volume 2, Issue 1, 2026, Pages 92-108]
Financial Messaging SystemsFederated Distributed Learning Architecture Based on Stochastic Artificial Intelligence for Identifying Evolving Fraud Patterns in Financial Messaging Systems [Volume 2, Issue 1, 2026, Pages 92-108]
Financial Risk ManagementDesigning an Early Warning System for Corporate Bankruptcy Using Big Data Analytics [Volume 2, Issue 2, 2026, Pages 22-37]
Financial TechnologyThe Role of Digital Behavioral Economics in Designing Smart Financial Products [Volume 2, Issue 2, 2026, Pages 57-75]
G
Geopolitical uncertaintyDynamic Multi-Objective Optimization of Decarbonized Asset Portfolios under Geopolitical Uncertainty Using Hybrid Metaheuristic Algorithms and Recurrent Deep Learning [Volume 2, Issue 1, 2026, Pages 38-55]
GRUPredicting Cryptocurrency Market Volatility Using Deep Learning and Social Media Sentiment Data [Volume 2, Issue 2, 2026, Pages 1-21]
H
Hybrid metaheuristic algorithmsDynamic Multi-Objective Optimization of Decarbonized Asset Portfolios under Geopolitical Uncertainty Using Hybrid Metaheuristic Algorithms and Recurrent Deep Learning [Volume 2, Issue 1, 2026, Pages 38-55]
Hybrid Quantum&ndashDeveloping a Real Options Pricing Framework Using Hybrid Quantum–Classical Algorithms and Advanced Monte Carlo Simulation for the Evaluation of Smart Infrastructure Projects [Volume 2, Issue 1, 2026, Pages 56-75]
L
LSTMPredicting Cryptocurrency Market Volatility Using Deep Learning and Social Media Sentiment Data [Volume 2, Issue 2, 2026, Pages 1-21]
M
Machine LearningDesigning an Early Warning System for Corporate Bankruptcy Using Big Data Analytics [Volume 2, Issue 2, 2026, Pages 22-37]
Market VolatilityPredicting Cryptocurrency Market Volatility Using Deep Learning and Social Media Sentiment Data [Volume 2, Issue 2, 2026, Pages 1-21]
Maximal Extractable Value (MEV)Designing a MEV-Resistant Automated Market Maker for Decentralized Finance Platforms via Multi-Agent Reinforcement Learning-Based Continuous Curve Optimization [Volume 2, Issue 1, 2026, Pages 76-91]
Monte Carlo simulationDeveloping a Real Options Pricing Framework Using Hybrid Quantum–Classical Algorithms and Advanced Monte Carlo Simulation for the Evaluation of Smart Infrastructure Projects [Volume 2, Issue 1, 2026, Pages 56-75]
Multi-Agent Reinforcement Learning (MARL)Designing a MEV-Resistant Automated Market Maker for Decentralized Finance Platforms via Multi-Agent Reinforcement Learning-Based Continuous Curve Optimization [Volume 2, Issue 1, 2026, Pages 76-91]
Multi-Objective OptimizationDynamic Multi-Objective Optimization of Decarbonized Asset Portfolios under Geopolitical Uncertainty Using Hybrid Metaheuristic Algorithms and Recurrent Deep Learning [Volume 2, Issue 1, 2026, Pages 38-55]
P
PersonalizationDevelopment of a Personalized Robo-Advisor System Considering Investors’ Behavioral Biases Using Deep Reinforcement Learning [Volume 2, Issue 1, 2026, Pages 1-18]
Q
Quantum computingDeveloping a Real Options Pricing Framework Using Hybrid Quantum–Classical Algorithms and Advanced Monte Carlo Simulation for the Evaluation of Smart Infrastructure Projects [Volume 2, Issue 1, 2026, Pages 56-75]
R
Real OptionsDeveloping a Real Options Pricing Framework Using Hybrid Quantum–Classical Algorithms and Advanced Monte Carlo Simulation for the Evaluation of Smart Infrastructure Projects [Volume 2, Issue 1, 2026, Pages 56-75]
Recurrent Deep LearningDynamic Multi-Objective Optimization of Decarbonized Asset Portfolios under Geopolitical Uncertainty Using Hybrid Metaheuristic Algorithms and Recurrent Deep Learning [Volume 2, Issue 1, 2026, Pages 38-55]
Risk ManagementDesigning a Data Governance Model for Explainable AI-Based Financial Systems [Volume 2, Issue 2, 2026, Pages 38-56]
Robo-AdvisoryDevelopment of a Personalized Robo-Advisor System Considering Investors’ Behavioral Biases Using Deep Reinforcement Learning [Volume 2, Issue 1, 2026, Pages 1-18]
S
Sentiment analysisPredicting Cryptocurrency Market Volatility Using Deep Learning and Social Media Sentiment Data [Volume 2, Issue 2, 2026, Pages 1-21]
Smart infrastructureDeveloping a Real Options Pricing Framework Using Hybrid Quantum–Classical Algorithms and Advanced Monte Carlo Simulation for the Evaluation of Smart Infrastructure Projects [Volume 2, Issue 1, 2026, Pages 56-75]
Social MediaPredicting Cryptocurrency Market Volatility Using Deep Learning and Social Media Sentiment Data [Volume 2, Issue 2, 2026, Pages 1-21]
Stochastic Artificial IntelligenceFederated Distributed Learning Architecture Based on Stochastic Artificial Intelligence for Identifying Evolving Fraud Patterns in Financial Messaging Systems [Volume 2, Issue 1, 2026, Pages 92-108]
Sustainability ScoringIntelligent Sustainability Scoring Model Design for Listed Companies Using a Graph Neural Network Approach [Volume 2, Issue 1, 2026, Pages 21-37]