- +30 2310 891.738
- dergiades uom.edu.gr
- Office: ΓΔ, 405
Dergiades Theologos
Associate Professor
Department of International and European Studies
Associate Professor, Academic Staff (Master in Applied Economics and Finance)
Academic Area
Applied Macrofinance and Information Demand
Curriculum Vitae
Academic Titles
- PhD in Economics, University of Macedonia, Department of Economics.
- MSc in Econometrics and Finance, University of York (U.K.), Department of Economics.
- BSc in Economics, University of Macedonia, Department of Economics.
Research Interests
- Applied Macrofinance
- Applied Econometrics
- Information Demand
- Energy Economics
Teaching
- APPLICATIONS OF STATISTICS, DATA ANALYSIS AND ECONOMETRICS
(MES205)
Type
COMPULSORY
Department Abbreviation
ΜΕΣΔΥΣ
Department
MASTER'S DEGREE IN EUROPEAN STUDIES ON INTERNATIONAL SERVICES AND TRANSACTIONS
Course Outlines
Η περιγραφή του μαθήματος δεν είναι διαθέσιμη
- ECONOMETRICS I
(Δ17001-1)
Type
ELECTIVE
Department Abbreviation
IES
Department
DEPARTMENT OF INTERNATIONAL AND EUROPEAN STUDIES
Course Outlines
The course provides a comprehensive introduction to fundamental statistical and econometric concepts, focusing on their practical applications in empirical analysis. It begins with a revision of essential statistical principles, covering numerical measures for data description, continuous probability distributions, sampling methods, and the Central Limit Theorem. Additionally, students will explore estimation techniques, confidence intervals, and one-sample hypothesis testing, ensuring a solid foundation for econometric modeling. The course then delves into the basics of linear regression analysis, starting with the two-variable model, where students will gain an understanding of regression concepts, population and sample regression functions, and parameter estimation. Hands-on experience with econometric software (E-views) will be introduced to familiarize students with real-world data analysis. The next phase of the course focuses on hypothesis testing within the two-variable regression framework, emphasizing the rationale behind Ordinary Least Squares (OLS) estimation and its application in hypothesis testing. A dedicated lab session will provide students with practical experience in estimating simple regression models. Further, the course examines different functional forms of regression, including elasticity and growth measurement, along with dummy variable regression techniques, essential for incorporating categorical data into econometric models. Students will engage in data extraction from questionnaires and apply regression analysis in lab exercises. The course concludes with an in-depth discussion on model selection, where students will learn about the attributes of a well-specified model and methods for detecting specification errors. Practical exercises in model selection will equip students with the skills to build and evaluate econometric models effectively. Through a combination of theoretical instruction and applied laboratory sessions, this course prepares students to conduct rigorous empirical research and develop a strong understanding of statistical and econometric methodologies.
- ECONOMETRICS II
(Δ18005-1)
Type
ELECTIVE
Department Abbreviation
IES
Department
DEPARTMENT OF INTERNATIONAL AND EUROPEAN STUDIES
Course Outlines
Building upon the foundational concepts of statistical inference and regression analysis, this course extends its focus to addressing key econometric challenges that arise in empirical research. One of the primary issues explored is multicollinearity, a condition where independent variables are highly correlated, potentially distorting regression estimates. Students will examine both the theoretical and practical implications of multicollinearity, learning how to diagnose and mitigate its effects through hands-on laboratory exercises. The course then progresses to heteroscedasticity, a violation of the classical regression assumptions where the variance of errors is not constant across observations. Through theoretical discussions and practical applications, students will develop an understanding of the consequences of heteroscedasticity, along with methods for its detection and correction. Another critical topic covered is serial correlation, which occurs when error terms in a regression model are correlated across observations, often leading to inefficient and misleading parameter estimates. Students will gain practical experience in identifying and addressing serial correlation through dedicated lab sessions. The course further explores models with qualitative dependent variables, introducing logit and probit models commonly used in cross-sectional analysis to model binary outcomes. By estimating these models in lab exercises, students will gain essential skills in handling categorical response variables in econometric research. The course concludes with a comprehensive review of the key topics covered, reinforcing the principles of linear regression, diagnostic testing for model validity, and the application of qualitative response models. Through a combination of theoretical insights and applied econometric techniques, students will be equipped with the analytical tools necessary for conducting robust empirical research.
- ECONOMIC MODELING AND FORECASTING
(ΜΑΕ0207)
Type
ELECTIVE
Department Abbreviation
ΜΕΟ
Department
MSc IN APPLIED ECONOMICS
Course Outlines
Η περιγραφή του μαθήματος δεν είναι διαθέσιμη
- MACROECONOMIC THEORY
(Δ16001-1)
Type
ELECTIVE
Department Abbreviation
IES
Department
DEPARTMENT OF INTERNATIONAL AND EUROPEAN STUDIES
Course Outlines
This course provides a comprehensive exploration of macroeconomic theory, focusing on the interaction between goods, financial markets, and long-term economic growth. It begins with an analysis of the goods market, examining the composition of GDP, the factors influencing aggregate demand, and the mechanisms determining equilibrium output. Students will also explore the fundamental relationship between investment and saving as an alternative approach to understanding macroeconomic equilibrium. The course then shifts to financial markets, where the demand for money and the determination of interest rates are studied through alternative theoretical frameworks. Building upon these foundations, the IS-LM model is introduced, integrating the goods and financial markets to analyze macroeconomic policy interventions, such as fiscal and monetary policy, and assess their empirical validity. A further extension of this framework leads to the AS-AD model, which provides insights into the interaction between aggregate supply and aggregate demand, allowing for an analysis of short- and medium-run equilibrium, the effects of monetary expansion, and the implications of fiscal policy adjustments, such as budget deficit reductions. The course then delves into labor market dynamics, introducing the Phillips Curve and the natural rate of unemployment, alongside discussions on inflation expectations and their macroeconomic consequences. In the latter part of the course, attention is given to long-term economic growth, beginning with a historical and comparative analysis of growth patterns across countries and time periods. The role of technological progress as a driver of economic expansion is examined, including its determinants and its impact on productivity, output, and employment in different time horizons. Special focus is given to the relationship between institutions, technological advancements, and sustainable economic growth. Finally, the course revisits macroeconomic modeling, incorporating concepts such as nominal and real interest rates, expected present discounted values, and their implications for investment decisions and policy-making. Through a combination of theoretical discussions and applied analysis, this course equips students with the tools to critically assess macroeconomic dynamics and policy choices in both the short and long run.
- MATHEMATICS I
(ΔΕ1004)
Type
COMPULSORY
Department Abbreviation
IES
Department
DEPARTMENT OF INTERNATIONAL AND EUROPEAN STUDIES
Course Outlines
This course provides a structured introduction to fundamental mathematical concepts with applications in finance and economics, focusing on matrix algebra and financial mathematics. It begins with an exploration of matrix algebra, covering special types of matrices, matrix operations, determinants, and the cofactor method for evaluating determinants. Students will develop an understanding of how matrices are structured and manipulated, laying the groundwork for more advanced mathematical applications. The course then progresses to the study of inverse matrices, addressing the conditions under which an inverse exists, the uniqueness of inverses, and techniques for deriving them. Special attention is given to rectangular matrices and their properties. Building on these foundations, the course explores methods for solving systems of linear equations, distinguishing between cases with unique, multiple, or no solutions. Students will also be introduced to the concept of a generalized inverse and its applications in solving linear systems. The second half of the course shifts to financial mathematics, beginning with an introduction to simple interest and simple discount, where students learn about percentage mark-ups, present value calculations, and discounting techniques used in financial decision-making. The course then advances to compound interest, covering the compound amount formula, present value formula, and various applications of these concepts in investment and loan calculations. Finally, the course delves into annuities, examining their future value, the sum of annuities, and methods for determining the size of periodic payments. Through a combination of theoretical instruction and practical problem-solving exercises, students will gain essential quantitative skills necessary for applications in economics, finance, and business analytics.
- RESEARCH METHODS AND TECHNIQUES
(ΝΕΠ0107)
Type
COMPULSORY
Department Abbreviation
ΜΕΠΝ
Department
MASTER'S DEGREE IN EUROPEAN POLICIES ON YOUTH, EDUCATION AND CULTURE
Course Outlines
Η περιγραφή του μαθήματος δεν είναι διαθέσιμη
- RESEARCH METHODS IN SOCIAL SCIENCES
(HRMS203)
Type
COMPULSORY
Department Abbreviation
HURMIS
Department
MASTER'S DEGREE IN HUMAN RIGHTS AND MIGRATION STUDIES
Course Outlines
The course provides an extended introduction to the research process using quantitative and qualitative methods. The course covers: the problem of measurement, the Structural variables, how they are linked and measured using a structured questionnaire, how we construct Models and Path diagrams. Questionnaire design as well as attitude measurement scales are taught. The course includes a detailed introduction on Sampling and on Reliability and Validity. Using SPSS statistical software, the course teaches the use of descriptive, inferential statistics and statistical models. It also shows how results are presented, tabulated and discussed. Part of the course deals with writing scientific papers, searching for bibliography, organizing, editing and presenting material and findings.
Publications
- Books (1 records)
Περιλαμβάνει Βιβλία ή/και μονογραφίες σε διεθνείς ή ελληνικούς εκδοτικούς οίκους. Κεφάλαια ή άρθρα συλλογικών τόμων ή επιμέλεια τόμων σε διεθνείς ή ελληνικούς εκδοτικούς οίκους.
2014
- Grammenos, C., T. Dergiades and G. Mazis (2014). Evidence on the Pricing of the Syndicated Loans for the Global Port Industry. In Meersman, H., Van de Voorde, E. and T. Vanelslander (Eds.), Port Infrastructure Finance, 87-110, London: Taylor and Francis.
- Scientific Journals (25 records)
Περιλαμβάνει Άρθρα σε διεθνή ή ελληνικά επιστημονικά περιοδικά (με κριτές).
2025
- Paliouras D., S. Tsentidis and T. Dergiades (2025). Terrorism, tourism and growth: a panel VAR analysis, Journal of Economics and Finance, forthcoming.
2024
- Milas C., T. Dergiades, T. Panagiotidis and Georgios Papapanagiotou (2024). An assessment of inflation targeting. Quarterly Review of Economics and Finance 97, 101897.
2023
- Dergiades, T., C. Milas, E. Mossialos and T. Panagiotidis (2023). COVID-19 anti-contagion policies and economic support measures in the US. Oxford Economic Papers, 75(3), 613-630.
- Dergiades T. and P.K. Pouliasis (2023). Should stock returns predictability be ‘hooked on’ long-horizon regressions? International Journal of Finance and Economics, 28(1), 718-732.
2022
- Dergiades, T., C. Milas, E. Mossialos and T. Panagiotidis (2022). Effectiveness of Government Policies in Response to the first COVID-19 Outbreak. PLOS Global Public Health 2, e0000242.
- Dergiades, T., C. Milas and T. Panagiotidis (2022). Unemployment Claims During COVID-19 and Economic Support Measures in the US. Economic Modelling 113, 105891.
2021
- Arampatzidis, I., T. Dergiades, R.K. Kaufmann and T. Panagiotidis (2021). Oil and the U.S. Stock Market: Implications for Low Carbon Policies. Energy Economics 103, 105588.
- Milas C., T. Panagiotidis and T. Dergiades (2021). Does it Matter where you Search? Twitter versus Traditional News Media. Journal of Money, Credit and Banking 53, 1757-1795.
- Psychoyios D., O. Missiou and T. Dergiades (2021). Energy based estimation of the Shadow Economy: The role of Governance Quality. Quarterly Review of Economics and Finance 80, 797-808.
2020
- Dergiades, T., C. Milas and T. Panagiotidis (2020). A Mixed Frequency Approach for Stock Returns and Valuation Ratios. Economics Letters 187, 108861.
2018
- Dergiades, T., E. Mavragani and B. Pan (2018). Google Trends and Tourists Arrivals: Emerging biases and proposed corrections. Tourism Management 66 (3), 108-120.
- Dergiades, T., R. Madlener and G. Christofidou (2018). The nexus between natural gas spot and futures prices at NYMEX: Do weather shocks and non-linear causality in low frequencies matter? The Journal of Economic Asymmetries 12 (2), 5-18.
2017
- Mitianoudis, N. and T. Dergiades (2017). Stock Prices Predictability at Long-horizons: Two Tales from the Time-Frequency Domain. Credit and Capital Markets 50 (1), 37-61.
2016
- Dergiades, T., R. Kaufmann and T. Panagiotidis (2016). Long-Run Changes in Radiative Forcing and Surface Temperature: The Effect of Human Activity over the Last Five Centuries. Journal of Environmental Economics and Management 76 (2), 67-85.
2015
- Dergiades, T., C. Milas and T. Panagiotidis (2015). Tweets, Google Trends and Sovereign Spreads in the GIIPS. Oxford Economic Papers 67 (2), 406-432.
2013
- Kontopoulos, E., C. Berberidis, T. Dergiades and N. Bassiliades (2013). Ontology-based sentiment analysis of twitter posts. Expert Systems with Applications 40 (10), 4065-4074.
2012
- Dergiades T. (2012). Do Investors' Sentiment Dynamics affect Stock Returns? Evidence from the US Economy. Economics Letters 116 (5), 404-407.
- Dergiades T., G. Martinopoulos and L. Tsoulfidis (2012). Energy Consumption and Economic Growth: Parametric and Non-Parametric Causality Testing for the Case of Greece. Energy Economics 36 (3), 686-697.
- Katsikas, E, and T. Dergiades (2012). Higher Education Policy in Greece: Filling the Danaids' Jar. Empirica 39 (3), 279-292.
2011
- Dergiades, T. and L. Tsoulfidis (2011). Revisiting Residential Demand for Electricity in Greece: New Evidence from the ARDL Approach to Cointegration Analysis. Empirical Economics 41 (2), 511-531.
- Tsintsos, P. and T. Dergiades (2011). Uncertainty in the Public Debt Market and Stochastic Long-Run Growth. Economic Modelling 28 (1), 67-73.
2010
- Dergiades, T. and T. Dasilas (2010). Modelling and Forecasting Mobile Telecommunication Services: The Case of Greece. Applied Economics Letters 17 (18), 1823-1828.
2008
- Dergiades, T. and L. Tsoulfidis (2008). Estimating Residential Demand for Electricity in the United States, 1965-2006. Energy Economics 30 (5), 2722-2730.
2007
- Dergiades, T. and L. Tsoulfidis, (2007). A New Method for the Estimation of Capacity Utilization: Theory and Empirical Evidence from 14 EU Countries. Bulletin of Economic Research 59 (4), 361-381.
- Dergiades, T. and L. Tsoulfidis (2007). Estimating Capacity Utilization Using a SVAR Model: An application to the US and Canadian Economies. Economics Bulletin 5 (4), 1-12.
- Other (14 records)
Περιλαμβάνει Παρουσιάσεις σε διεθνή ή ελληνικά συνέδρια χωρίς δημοσίευση σε πρακτικά.
Popular Press Articles about my Research
- Period covered 2014-2022
2022
- London School of Economics: Blog on American Politics and Policy. Greater economic support would have softened the effects of the COVID-19 pandemic on labor markets across the states, 10/6/ 2022.
- London School of Economics: Blog on American Politics and Policy. Before vaccines, government interventions were more effective at controlling COVID-19 when combined with economic support measures, 21/7/ 2022
- Kathimerini, A methodology for ranking economic departments (in Greek), 23/1/2022.
2021
- Kathimerini, COVID-19 containment measures and economic growth (in Greek), 6/1/2021.
- Kathimerini, Challenges in the Greek higher education: Quantity or Quality? (in Greek), 5/7/2021.
2020
- London School of Economics: Blog on Policy and Politics, How effectively have governments responded to COVID-19 so far? 1/6/2020
2019
- Barron's, Twitter Influences Markets More than Traditional Media, 7/1/2019.
2018
- The conversation, What moves markets more, Twitter or traditional news? 5/12/2018.
2017
- The Guardian, Central bank independence: Chart on inflation targeting, 28/9/2017.
2015
- Kathimerini, Why Grexit can be Proved a Boomerang (in Greek), 10/1/2015.
2014
- The Wall Street Journal, Grexit Tweets Deepened Crisis, 12/6/2014.
- Kathimerini, A Tweet can Bankrupt a Country (in Greek), 6/4/2014.
- To ΒΗΜΑ, The Domino Effect and the Nutcracker (in Greek), 15/12/2014.
