BEcon Piraeus; MSc(Fin) York(UK); PhD Athens
H69 - Economics and Business Building
The University of Sydney
NSW 2006 Australia
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Demetris has a multi-disciplinary profile with training in economics, accounting, finance and statistical computation, with a specialised interest in quantitative data analysis and analytical modelling. Demetris's research addresses the methodological correctness of prominent financial research questions with the ultimate aim of increasing the precision and reliability of inferential decision-making. His work has been applied to equity valuation, modelling the probability distribution of earnings, estimating a long-run equilibrium for the earnings yield, the determination of audit fees and more.
Demetris is the Founding Director (2007) and current General Convenor of the cross-disciplinary research group MEAFA and the co-chair of the annual MEAFA conference that showcases keynotes from renowned international experts. Demetris also has a strong interest in designing advanced research training modules in quantitative analysis for industry, government and academia. These are widely recognised by the research community as state-of-the-art. Demetris has provided research training to hundreds of executives, researchers and higher research degree students, and he is the architect of the bi-annual Professional Development Workshops on Quant Analysis, and self-generates the majority of funds for the MEAFA PhD top-up scholarships.
Demetris received his PhD from Athens University of Economics and Business (Greece) whilst holding a teaching and research fellowship at the University of Wales Bangor (UK) and a four-year research fellowship at the European Commission research network HARMONIA (EU) for investigating the harmonisation of financial reporting across the EU member states. He also held visiting posts at Columbia University (US), the University of Valencia (Spain) and the University of Sussex (UK).
- Financial analysis
- Equity valuation
- Quantitative data analysis
- Applied econometrics
- Statistical computation