Hi, I am Gelly Mitrodima
About me
I am an assistant professorial lecturer in the Department of Statistics, at the LSE. Prior to joining the Department of Statistics, I spent 4 years at the University of Kent, where I did my PhD in Actuarial Science at the School of Mathematics, Statistics, and Actuarial Science.
My research interests lie in financial modelling and forecasting. My research uses among others Bayesian nonparametric and semiparametric framework, via Markov chain Monte Carlo, for the construction of quantile time series models for financial data.
RESEARCH
- A Bayesian quantile time series model for asset returns (with J. E. Griffin, accepted for publication in Journal of Business & Economic Statistics)
- Robustly modelling the scale and shape dynamics of stock return distributions (with J. E. Griffin and J. S. Oberoi)
- Value at Risk models of autoregressive quantiles with improved performance on financial criteria (with J. S. Oberoi)
TEACHING
- Actuarial investigations: financial (Michaelmas term)
- Statistical methods in risk management (Summer School)
WORK EXPEPIENCE
2019-Now
Assistant professorial lecturer
Department of Statistics
London School of Economics & Political Science
2015-2019
Fellow in Statistics
Department of Statistics
London School of Economics & Political Science
EDUCATION
2011-2015
PhD in Actuarial Science
School of Mathematics, Statistics and Actuarial Science, University of Kent
2008-2010
MSc in Actuarial Science and Risk Management
Department of Statistics and Insurance Science, University of Piraeus
2002-2007
BSc in Statistics and Insurance Science
Department of Statistics and Insurance Science, University of Piraeus
2019
– Invited speaker at the 13th Computational and Financial Econometrics Conference, London
– European Seminar on Bayesian Econometrics (ESOBE), St Andrews
– 62nd International Statistical Institute (ISI) world congress, Kuala Lumpur
– 3rd International Conference on Econometrics and Statistics, Taichung
2018
– Invited seminar at the Faculty of Economic Sciences and Management during the 50th anniversary of the Faculty of Economic Sciences and Management, Nicolaus Copernicus University in Toruń, and the honorary doctorate of the Nicolaus Copernicus University ceremony for prof. Robert F. Engle
– Invited speaker at the 17th Conference on Research on Economic Theory and Econometrics, Tinos
2017
– Invited speaker at the Computational and Financial Econometrics Conference, London
– 16th Conference on Research on Economic Theory and Econometrics, Milos
– Greek Stochastics, Milos
– Young Finance Scholars Conference, University of Sussex, Falmer
– Invited speaker at the Women Count Conference, Queen Mary University, London
2016
– Invited speaker at the Computational and Financial Econometrics Conference, Seville
2015
– Invited speaker at the Computational and Financial Econometrics Conference, London
– Actuarial and Financial Mathematics Conference (AFMath), Brussels
2014
– Invited speaker at the Computational and Financial Econometrics Conference, Pisa
2013
– Computational and Financial Econometrics Conference, London
– Women in Mathematics day, Cambridge
LECTURING AND TEACHING
To undergraduate students:
- Actuarial investigations: financial (Lectures and seminars, LSE, 2nd year, about 160 students)
- Elementary statistical theory (Classes, LSE, 1st year, about 15 students)
- Statistical models and data analysis (Classes, LSE, 2nd year, about 20 students)
- Survival models (Seminars, LSE, 2nd year, about 40 students)
- Stochastic simulation (Seminars, LSE, 3rd year, about 30 students)
- Bayesian inference (Classes, LSE, 3rd year, about 30 students)
- Statistics for insurance (Tutorials, University of Kent, 2nd year, about 40 students)
To postgraduate students:
- Statistical models in risk management (Lectures, LSE, 3rd year, postgraduates, and professionals, about 40 students)
- Computational methods in Finance and Insurance(Workshops, LSE, MSc in Quantitative Methods for Risk Management, about 30 students)
- Financial risk management (Lectures and tutorials, University of Kent, MSc in Finance, Investment, and Risk, about 40 students)
- Induction course in Statistics (Lectures, University of Kent, MSc in Finance, Investment, and Risk, about 50 students)
Learning community projects
2017-Now Academic lead for the practitioners’ challenge (article to LinkedIn), Department of Statistics, LSE
2020-Now Academic lead for the research your researcher project, Department of Statistics, LSE
LANGUAGES
Greek : Native
English: Fluent
Spanish: Basic knowledge
ἕν οἶδα, ὅτι οὐδέν οἶδα
Σωκράτης
Contact me
Department of Statistics
London School of Economics & Political Science
Houghton street
WC2A 2AE
+44 (0) 20 7955 6009