Day 1 |
Day 2 |
Day 3 |
|
2 November 2026 - Morning |
3 November 2026 - Morning |
4 November 2026 - Morning |
|
8.30 (CET) 10.00 (CET) |
9.00 (CET) |
9.00 (CET) |
|
2 November 2026 - Afternoon |
3 November 2026 - Afternoon |
4 November 2026 - Afternoon |
|
14.00 (CET) |
14.00 (CET) |
14.00 (CET) |
Program for DAY 1
Date: 2 November 2026 (Monday)
Morning Session
Time: 8:30 (CET) | 2:30 (EST, New York) | 15:30 (CST, Asia, Beijing)
S4. Data Capitalization: Reconstructing Economic Valuation
|
Central European Time |
Speaker | Title |
| 08:30 – 08:35 |
Prof. Dr. Sisira Colombage |
Welcome from the Session Chair |
| 08:35 – 08:55 |
Mr. Dinesh Velusamy |
Data Capital: Discounted by Cyber Risk, Multiplied by AI |
| 08:55 – 09:10 |
Katerina Fotova Čiković |
Analysis of the impact of revenue structure on Amazon platform share prices |
| 09:10 – 09:25 | Nizar Baklouti Oral Speaker |
Capitalizing Data in the Digital Economy: Canada’s Experience with Digital Supply‑Use Tables |
| 09:25 – 09:40 | Khadeeja Farhana C P M Oral Speaker |
Carbon Exposure, Disclosure, and Investment: A TSVF-Based Asset Pricing Study |
| 09:40 – 09:55 | Monodeep Saha Oral Speaker |
Valuation Governance in Data-Constrained Markets: Integrating Valuation Uncertainty into Credit Risk Analytics via an Institutional Transmission Mechanism |
Date: 2 November 2026 (Monday)
Morning Session
Time: 10:00 (CET) | 4:00 (EST, New York) | 17:00 (CST, Asia, Beijing)
S3. Blockchain and Digital Assets: Frontier Analytics
|
Central European Time |
Speaker | Title |
| 10:00 – 10:05 |
Dr. Alessio Faccia |
Welcome from the Session Chair |
| 10:05 – 10:25 |
Prof. Dr. Adrian Cantemir Calin |
From Innovation Hubs to Crypto-Asset Supervision: The Evolving Architecture of European Financial Regulation |
| 10:25 – 10:45 |
Dr. Pythagoras Petratos |
AI and Machine Learning in Finance and Economics: Technological convergence and Integration |
| 10:45 – 11:00 | Federico Cini Oral Speaker |
Energy Risk and Bitcoin Valuation Across Protocol-Defined Regimes |
| 11:00 – 11:15 | Xufeng Zhang Oral Speaker |
From On-Chain Transparency to Organisational Accountability: A Conceptual Framework for Blockchain-Enabled Reporting |
| 11:15 – 11:30 | Karthik Iyer Oral Speaker |
Financial-crime risk in crypto-asset settlement: a reading of the enforcement record |
| 11:30 – 11:45 | Yen-Chun Wen Oral Speaker |
Consumer Attention, Sentiment Asymmetry, and Cryptocurrency Payment Adoption |
Date: 2 November 2026 (Monday)
Afternoon Session
Time: 14:00 (CET) | 8:00 (EST, New York) | 21:00 (CST, Asia, Beijing)
S1. Generative AI: Paradigm Shifts in Finance and Economics
|
Central European Time |
Speaker | Title |
| 14:00 – 14:05 |
Prof. Dr. Svetlozar (Zari) Todorov Rachev |
Welcome from the Session Chair |
| 14:05 – 14:35 |
Prof. Dr. Svetlozar (Zari) Todorov Rachev |
Generative AI and the Transformation of Finance: Concepts, Methods, and Emerging Paradigms |
| 14:35 – 14:55 |
Prof. Dr. Ahmet Faruk Aysan |
AI Governance and Auditing Challenges: A Conscious Economics Perspective |
| 14:55 – 15:10 | She Zhang Oral Speaker |
Auditable RAG Credit Signals from Auto-Retail Filings: A Validation Framework for Dealer Risk Models |
| 15:10 – 15:25 | YINGYING YANG Oral Speaker |
The determinants of AI Washing in Corporate Reporting: Strategic Antecedents and Path Dependence of Symbolic Technological Narratives |
| 15:25 – 15:40 | Farzana Afroz Oral Speaker |
Revisiting Equity–Bond Diversification: Tail Risk, Extreme Events and Option–Implied Evidence from Global ETFs |
| 15:40 – 15:55 | Shahd Ahmed Alkhirbawy Oral Speaker |
AI4Fin: Fine-Tuning AI for Egyptian Financial Sentiment and Slang |
| 15:55 – 16:10 | Manuel Salas-Velasco Oral Speaker |
Financial AI Literacy: Developing and Testing a New Scale for AI-Assisted Financial Decision-Making |
| 16:10 – 16:25 | Aida Arbi Nefzi Oral Speaker |
Reconceptualizing Intellectual Capital through Generative AI: Evidence from Sustainable Banking Performance in Saudi Listed Banks |
| 16:25 – 16:40 | Monika Gahlawat Oral Speaker |
Indian Consumers and AI-Generated Green Finance Messaging: Trust, Skepticism and Purchase Intention |
Date: 3 November 2026 (Tuesday)
Morning Session
Time: 9:00 (CET) | 3:00 (EST, New York) | 16:00 (CST, Asia, Beijing)
S6. Emerging Tech Convergence: Future Financial Infrastructure
|
Central European Time |
Speaker | Title |
| 09:00 – 09:05 |
Prof. Dr. Ramona Rupeika-Apoga |
Welcome from the Session Chair |
| 09:05 – 09:35 |
Prof. Dr. Julien Chevallier |
One Problem, Many Solvers: Portfolio Optimization in International Equity Indices |
| 09:35 – 09:55 |
Prof. Dr. Vikas Sharma |
The Future of Financial Infrastructure: Convergence of AI, Blockchain and FinTech for Sustainable Finance |
| 09:55 – 10:15 | Prof. Dr. Clinton Watkins Invited Speaker |
Voluntary Payout Policy Disclosure and Corporate Capital Allocation: Evidence from Japanese Listed Firms |
| 10:15 – 10:30 | Saman Ikram Abbasi Oral Speaker |
Smart and Secure: Leveraging AI-Blockchain Convergence to Transform Banking Infrastructure |
| 10:30 – 10:45 | Tamar Gugushvili Oral Speaker |
TAP-i: A Prototype Platform for AI-Assisted Bank Guarantee Processing in Emerging Markets |
| 10:45 – 11:00 | Oumaima Messlohi Oral Speaker |
Artificial Intelligence in Finance: A Comprehensive Systematic Review of Generative AI, Large Language Models, Applications, Challenges, and Future Research Directions |
| 11:00 – 11:15 | Dounia Berrachid Oral Speaker |
From financial Primitives to regulatory Frameworks: what lessons for Morocco? |
| 11:15 – 11:30 | Indra Raj Subedi Oral Speaker |
Regulating Bancassurance in Nepal: Nepal Rastra Bank’s Intervention and Its Implications for Financial Innovation and Financial Market Development |
Date: 3 November 2026 (Tuesday)
Afternoon Session
Time: 14:00 (CET) | 8:00 (EST, New York) | 21:00 (CST, Asia, Beijing)
S5. Ethical AI and Financial Technology Governance
|
Central European Time |
Speaker | Title |
| 14:00 – 14:05 |
Prof. Dr. Xianrong Shawn Zheng |
Welcome from the Session Chair |
| 14:05 – 14:35 |
Prof. Dr. Xianrong Shawn Zheng |
Investing in AI Infrastructure: A Comparison of LLMs in Capturing Financial News Sentiment |
| 14:35 – 14:50 |
Salvatore La Barbera |
When AI Is the Story: LLM-Based Evidence on AI Narratives, Disclosure Credibility, and IPO Performance |
| 14:50 – 15:05 | Leo S.F. Lin Oral Speaker |
Modeling Agentic Crime: A Proposed ROSI Framework for Deepfake and AI-Enabled Financial Risk |
| 15:05 – 15:20 | Stavr Zaugolnikov Oral Speaker |
Responsible AI Management in Financial Regulation: Organizational Capabilities and Governance in FinTech Adoption |
| 15:20 – 15:35 | Li Zeng Oral Speaker |
From Explainability to Accountability: The FinTRACE-AI Framework for Algorithmic Risk Governance in FinTech |
| 15:35 – 15:50 | Koustubh Sharma Oral Speaker |
Governing Risk at Machine Speed: Operationalizing Model-Risk Management, Fairness Testing, and Explainability for Machine-Learning Credit Models |
| 15:50 – 16:05 | Puneet Redu Oral Speaker |
Governing Agentic Finance: A Framework for EU AI Act Compliance in Autonomous Algorithmic Trading |
| 16:05 – 16:25 | Assoc. Prof. Xiankui (Bill) Hu Invited Speaker |
Groupthink Behavior in AI Models |
| 16:25 – 16:45 | Mr. Sarthak Gupta Invited Industry Speaker |
Designing Oversight In: Governing Agentic AI in Financial Institutions |
Date: 4 November 2026 (Wednesday)
Morning Session
Time: 9:00 (CET) | 3:00 (EST, New York) | 16:00 (CST, Asia, Beijing)
S2. Machine Learning for Next-Generation Risk Modeling (Part I)
|
Central European Time |
Speaker | Title |
| 09:00 – 09:05 |
Prof. Dr. Ştefan Cristian Gherghina |
Welcome from the Session Host |
| 09:05 – 09:20 |
Idrees Mustafa Aziz |
A Gaussian Recency Score for Detecting and Directing Central-Bank Policy-Rate Changes |
| 09:20 – 09:35 |
Lulian Gabriel IONESCU |
Can Old and New Models Work Together? Predicting Volatility across U.S. Sectors with GARCH and Machine Learning |
| 09:35 – 09:50 | Piotr Czech Oral Speaker |
Hidden Coverage Failures in Bitcoin Volatility Prediction Intervals Across Sentiment States |
| 09:50 – 10:05 | Pooja Bansal Oral Speaker |
Dynamic Network Productivity, Club Convergence, and Machine Learning Benchmarking: Evidence from Indian Banks across Ownership Groups |
| 10:05 – 10:20 | Michael Masunda Oral Speaker |
AgentShield-Real: A Unified Multi-Source Neural Framework for Real-Time Financial Fraud Detection Across Heterogeneous Transaction Domains. |
| 10:20 – 10:35 | Arjeta Hallunovi Oral Speaker |
Revisiting AI and Machine Learning Techniques in Finance and Economics: A Regression-Based Perspective |
| 10:35 – 10:50 | Bushra Shaikh Oral Speaker |
Tool-Induced Analytical Variance in Credit Risk Exploration: A Comparative Study Using Python, SQL, and Power BI |
| 10:50 – 11:05 | Kamran Razzaq Oral Speaker |
Predict, Detect, Defend: A Machine Learning Framework for Next-Generation Cyber Risk Modelling |
| 11:05 – 11:20 | Ionuț Laurențiu Călin Oral Speaker |
Mapping Systemic Cross-Curency Risk: Using Graph Neural Networks on Liquidity Flows |
Date: 4 November 2026 (Wednesday)
Afternoon Session
Time: 14:00 (CET) | 8:00 (EST, New York) | 21:00 (CST, Asia, Beijing)
S2. Machine Learning for Next-Generation Risk Modeling (Part II)
|
Central European Time |
Speaker | Title |
| 14:00 – 14:10 |
Prof. Dr. Thanasis Stengos |
Welcome from the Session Chair |
| 14:10 – 14:40 |
Prof. and Frey Family Endowed Chair Stan Uryasev |
Risk Quadrangle and Applications in Statistics, Data Mining, and Portfolio Optimization |
| 14:40 – 15:00 |
Dr. Alexis Montecinos |
Reinventing Value Creation: The Transformative Impact of Artificial Intelligence on Business Strategy |
| 15:00 – 15:15 | Madhavan Panneerselvam Kumar Oral Speaker |
ML-Powered Corporate Bond Liquidity Scoring: A Multi-Measure XGBoost Framework on FINRA TRACE Data with SHAP Interpretability |
| 15:15 – 15:30 | Ting-Jung Lee Oral Speaker |
AI-Driven Dynamic Asset Pricing with Regime Switching and Nonlinear Risk Premia |
| 15:30 – 15:45 | Zhen Zhang Oral Speaker |
Machine Learning for Rare-Event Bank Failure Ranking: Rolling Out-of-Sample Evidence from Public FDIC Data |
| 15:45 – 16:00 | Wei Liu Oral Speaker |
Industry Risk in Asset Pricing: A Machine Learning Approach |
| 16:00 – 16:15 | Salma El Faroui Oral Speaker |
Integrating Artificial Intelligence into Climate Risk Management: An Intellectual Cartography of a Decade of Research on Financial Decision-Making |
| 16:15 – 16:30 | HASNA EL MEKKI Oral Speaker |
Does Machine Learning Outperform Traditional Scorecards? Evidence from a Benchmark Credit Risk Dataset |
| 16:30 – 16:45 |
Flash Poster Presentation |
Babu George Trading the Story Before the Price: A Reflexivity-Aware Neural Framework for the Narrative Risk Premium |
| Caio Mesquita Selective Forecasting of Realized Volatility Using Prediction Confidence |
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| Ali Ait Sidi Lkhir Aggregation Choice and the Limits of Machine Learning in Financial Stress Measurement: Evidence from Twenty Emerging Markets, 2007–2025 |