Profile
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📍Current Position
Professor Stavros Degiannakis is a distinguished academic and researcher specializing in quantitative techniques and statistics. He is currently a Professor in Quantitative Techniques and Statistics in the Department of Economic and Regional Development at Panteion University of Social and Political Sciences, Greece. Alongside his teaching and research responsibilities, he also serves as a Visiting Professor at Kingston Business School (2023–2024). His focus includes advanced econometric techniques, big data analysis, and applied statistics, contributing significantly to academic and professional fields.
📝Publication Achievements
Professor Degiannakis has an extensive publication record. He has authored several high-impact journal articles in prestigious publications focusing on applied econometrics, volatility modeling, and financial econometrics. Recognized among the top 2% researchers globally by Elsevier BV and Stanford University from 2020 to 2023, his works continue to shape modern econometric methodologies.
🔍Ongoing Research
Currently, Professor Degiannakis is working on several research projects, including: Forecasting disaggregated inflation rates in Greece, funded by the Hellenic Foundation for Research and Innovation (2023–2025). Exploring the drivers of regional business cycle synchronization in Greece (2020–2023). Oil price volatility forecasting using predictive data from multiple asset classes (2019–2021).
His projects often bridge theoretical econometrics with practical applications in economic policy and market analysis.
Professor Degiannakis specializes in: Econometrics and applied statistics. Volatility forecasting and time-series analysis. Big data analysis in finance and economics. Monetary policy and credit theory His innovative work applies statistical methods to real-world challenges, enhancing decision-making processes in finance and economics.
🎓Academic Background
Ph.D. in Statistics (1999–2005), Athens University of Economics and Business, Greece.
Thesis: Autoregressive Conditional Heteroscedasticity Model Selection.
M.Sc. in Econometrics (1997–1998), University of Essex, U.K.
B.Sc. in Statistics with Applications in Economics (1993–1997), Athens University of Economics and Business, Greece.
🏆Scholarships and Awards
Recognized as one of the top 2% researchers in the world by Elsevier and Stanford University (2020–2023). Multiple distinctions from the Greek State Scholarship’s Foundation during his undergraduate studies. Honored by the Bank of Greece for his research publications in 2013. Distinctions for academic excellence during his M.Sc. and Ph.D. programs.
🧬Bioinformatics
He is a member of multiple professional associations, including: European Central Bank Experts Group on Econometric Modelling. Economic Chamber of Greece.
🌐Professional Associations
Though primarily focused on econometrics, Professor Degiannakis integrates quantitative techniques across interdisciplinary fields like bioinformatics.
📚Training & Workshops
She has attended and organized numerous training sessions and workshops, focusing on: Sustainable development practices. Advanced financial modeling techniques. Policy implications of entrepreneurship and innovation.
🎤Oral Presentations and🗣️Thought Leadership
Professor Degiannakis has actively participated in and led training workshops on advanced quantitative techniques, econometric modeling, and statistical software applications.
🧑🔬Tasks Completed as a Researcher
Developed cutting-edge econometric models for inflation forecasting. Supervised EU-funded projects, such as volatility forecasting under the Marie Sklodowska Curie Fellowship. Authored models adopted by central banks and financial institutions for market analysis.
🚀Success Factors
Professor Degiannakis attributes his success to a rigorous academic foundation, interdisciplinary collaboration, and a commitment to solving real-world economic challenges. His leadership and expertise make him a valued contributor to both academia and industry.
🧪Publications & Laboratory Experience
His research has been instrumental in understanding complex statistical phenomena, particularly in the areas of big data analysis and applied statistics. His laboratory experience includes supervising students and managing research initiatives at Panteion University, fostering innovation in econometrics.
🔍 Conclusion
Professor Stavros Degiannakis stands out as a luminary in quantitative techniques and applied statistics. Through his impactful research, academic leadership, and innovative approaches to econometric modeling, he continues to contribute to global academic and professional advancements.
Publications