Prof. Dr. Despoina Makariou

09/2017 – 05/2022
Statistics Department, London School of Economics ▪ London, UK
PhD in Statistics, Research Group: Probability in Finance and Insurance

• Thesis: Development and application of statistical learning methods in insurance and finance – LSE Theses Online
• Supervisors: Prof. Pauline Barrieu and Dr. Yining Chen

09/2012 – 09/2013
Cass Business School ▪ London, UK
MSc in Insurance & Risk Management

09/2008 – 07/2012
School of Economics and Regional Studies, University of Macedonia ▪ Thessaloniki, Greece
BA in Economics and International Business

08/2022 – Present
Institute of Insurance Economics, University of St. Gallen ▪ St. Gallen, Switzerland

08/2022– Present
Statistics Department, London School of Economics ▪ London, UK
Visiting Research Fellow

01/2022 – 07/2022
Department of Philosophy, Logic and Scientific Method, London School of Economics ▪ London, UK
Postdoctoral Researcher

10/2017 – 05/2022
Statistics Department, London School of Economics ▪ London, UK
PhD Candidate in Statistics

01/2016 – 07/2017
CNA Hardy ▪ London, UK
Exposure and Catastrophe Risk Management
Business Lines: Terrorism, Direct and Facultative Reinsurance (D&F) Property, Power Generation

11/2014 – 01/2016
Argo Group ▪ London, UK
Risk Modelling
Business Lines: Terrorism, Property (D&F, Binding Authorities, Real Estate Owned), Cargo, Onshore

07/2014 – 10/2014
Lancashire Insurance ▪ London, UK
Catastrophe Risk Modelling
Business Lines: Terrorism, Political Violence, Offshore Energy, Onshore Energy

The multivariate Poisson-Generalized Inverse Gaussian claim count regression model with varying dispersion and shape parameters.
Risk Management and Insurance Review, 17.10.2022
George Tzougas, Despoina Makariou

A random forest based approach for predicting spreads in the primary catastrophe bond market.
Insurance: Mathematics and Economics, 30.07.2021
Despoina Makariou, Pauline Barrieu, Yining Chen

A Finite Mixture Modelling Perspective for Combining Experts’ Opinions with an Application to Quantile-Based Risk Measures.
Risks, 28.05.2021
Despoina Makariou, Pauline Barrieu, George Tzougas