30 June 2025 - 1 July 2025
9:00AM - 2:30PM
Durham University Business School, Waterside Building
Free but registration essential
EEFAG welcomes guests to their annual symposium.
9:00: Keynote address
Professor Tan Hu, Editor in Chief: Accounting, Organizations and Society, NTU, Singapore
Professor Jonathan A. Batten Editor in Chief: Finance Research Letters, RMIT, Australia
10:30: Coffee Break
11:00: Session 1: AI Powered Tools for Sustainability and Accountability
Chair: Prof S. Leventis
Ciftci, N., Nature Reporting: Evidence from Nature-related Financial Disclosures
Harris, T., AI-Powered Integrated Tool for Assessing Sustainability Reporting in the World 50 Most Impactful Universities
Gad, M., When Methods Matter: How Implementation Choices Shape Topic Discovery in Financial Text
12:00: Session 2: Environmental Economics
Chair: Prof G. Sorwar
Slechten, A., Market Design for the Environment
Zhang, C., Internal Carbon Price and Firm Performance
13:00: Lunch
14:00: Session 3: Does Alternative Financial Data have Value?
Chair Prof Jonathan Batten
Asaad, A., Beyond Short Interest: Untapped Potential with Fundamentals in European Markets
Essananni, Y., The diversification benefit of commodities from the perspective of a religio-sustainable investor: A unifying framework
Elkomy, S., Cultural Diversity in Senior Management and its Impact on The Case of the GCC Banks
15:30: Coffee Break
16:30: Session 4: Sustainability in Practice Session
Professor Deimante Vasiliauskaite, Chief Research Scientist (Vilnius University, Business School) Senior analyst at Bank of Lithuania
Fayoumi, A., Architecting Smart Mobility: Sustainable Urban Transportation in the Age of AI
8:30: Session 5: AI and Climate Risk
Chen, E., Walking the Talk or Playing the Game? How Corporate Culture Shapes Climate Change Performance
Carvalho, F., From Climate to Economy: Understanding Climate Risks in the U.S. Market
Bouabid, N., Not All Green is Equal: The Financial Benefit of Doing ‘More Good’ Over Doing ‘Less Harm’ to the Environment
Noureldeen, E., Using Machine Learning to Quantify Auditor Culture
12:30: Editors Roundtable Discussion and Reflections
13:30: Lunch and Closing Remarks