Professor Spyridon Vrontos
-
Email
svrontos@essex.ac.uk -
Telephone
+44 (0) 1206 874717
-
Location
STEM 5.5, Colchester Campus
Profile
Biography
Spyridon is Professor of Actuarial Science and Head of School of Mathematics, Statistics and Actuarial Science, University of Essex. He served for many years as the Lead of the Actuarial Science Research Theme and as Course Director for BSc Actuarial Science and MSc Actuarial Science. Spyridon's expertise is in Actuarial and Financial Data Science. Spyridon was the recipient of the Charles A. Hachemeister Prize of Casualty Actuarial Society. His research portfolio includes projects funded by Casualty Actuarial Society, Society of Actuaries, Academy of Finland, Innovate UK, HEFCE, EIRA Network, University of Essex, Essex Police, Essex County Council, Suffolk County Council, Hellenic Foundation for Research and Innovation, Hellenic Association of Insurance Companies, Hellenic and British insurance companies, pension funds, hospitals, and Lloyd's Brokers and Coverholders. Spyridon's research on Asset Liability Management in a Time Varying Volatility Environment was funded based on the Research Grant Competition from the Society of Actuaries, The Actuarial Foundation and CKER. His principal research is concerned with predictive modelling in actuarial science and finance, actuarial and financial mathematics, design of optimal bonus malus systems, asset - liability management for pension funds, performance measurement for pension funds, hedge funds and mutual funds, predictability of financial time series, risk management and solvency and risk theory. His publications have appeared in internationally recognised and world-leading academic journals such as International Journal of Forecasting, Journal of Banking and Finance, European Journal of Finance, Journal of Financial Data Science, Quantitative Finance, Journal of Empirical Finance, Journal of Forecasting, Journal of Asset Management, Scandinavian Actuarial Journal, ASTIN Bulletin and Applied Stochastic Models in Business and Industry. Spyridon's consulting work include Valuation and Funding of Employee Benefits based on International Accounting Standards, Funds Performance Evaluation and Funds of Funds, Valuation and Funding of Pension Funds, Ratemaking and Bonus Malus Systems, Financial Planning Tools for Pre and Post Retirees, Property Insurance, General Insurance, Actuarial and Financial Data Science. Spyridon received his BSc, MSc and PhD from Athens University of Economics and Business, Greece. He is a member of European Finance Association (EFA) and of Global Association of Risk Professionals (GARP).
Qualifications
-
Ph.D. in Statistics, Athens University of Economics and Business, (2005).
-
M.Sc. in Statistics, Athens University of Economics and Business, (1998).
-
B. Sc. in Statistics, Athens University of Economics and Business, (1996).
Research and professional activities
Research interests
Actuarial Mathematics and Actuarial Modelling
Design of Optimal Bonus &ndash Malus Systems
Asset - Liability Management for Pension Funds
Performance Measurement for Pension Funds, Hedge Funds and Mutual Funds
Predictability of Financial Time Series
Risk Management and Solvency
Risk Theory
Conferences and presentations
A comprehensive approach to survival analysis of hedge funds
RCEA Conference On Recent Developments In Economics, Econometrics And Finance, Online Conference, 2022
A comprehensive approach to survival analysis of hedge funds
Conference in Macroeconomic Analysis and International Finance, Rethymno, 2022
Forecasting the Equity Premium Using Machine Learning Techniques
18th Conference on Research on Economic Theory and Econometrics, Tinos, 2019
On the Directional Predictability of U.S. Stock Market
17th Conference on Research on Economic Theory and Econometrics, Tinos, 2018
Survival Analysis of Hedge Funds
16th Conference on Research on Economic Theory and Econometrics, Milos, 2017
Out-of-sample equity premium prediction: A complete subset quantile regression approach
15th Conference on Research on Economic Theory and Econometrics, Tinos, 2016
Performance evaluation of funds, 14th Conference on Research on Economic Theory and Econometrics (C.R.E.T.E. 2015), Chania.
Chania, Greece, 2015
Performance evaluation of funds, WBS Pensions Research Network Workshop 2015, London.
London, United Kingdom, 2015
Performance evaluation of funds, Computational and Financial Econometrics Conference 2014, London.
London, United Kingdom, 2014
Out-of-sample equity premium prediction: A complete subset quantile regression approach, 31st French Finance Association Conference, Aix-en-Provence, France, 2014.
Aix-en-Provence, France, 2014
Hedge fund return predictability; To combine forecasts or combine information? 1st Annual Conference of International Association for Applied Econometrics, London, UK, 2014.
London, United Kingdom, 2014
A Quantile Regression Approach to Equity Premium Prediction, 2014 Conference of the Financial Engineering & Banking Society (F.E.B.S), Global Trends in Financial Intermediation, Financial Markets, and Financial Modeling, Surrey, UK, 2014.
Guildford, United Kingdom, 2014
Hedge fund return predictability; To combine forecasts or combine information? 13th Conference on Research on Economic Theory and Econometrics, Milos, Greece, 2014.
Milos, Greece, 2014
Out-of-sample equity premium prediction: A complete subset quantile regression approach, 7th International Conference on Computational and Financial Econometrics. London, UK, 2013.
London, United Kingdom, 2013
Hedge Fund Predictability, 6th CSDA International Conference on Computational and Financial Econometrics. Oviedo, Spain, 2012.
Oviedo, Spain, 2012
On a renewal risk process with dependence under a Farlie - Gumbel Morgenstern copula, 5th International Conference of Mathematical and Statistical Methods for Actuarial Sciences and Finance, Venice, Italy, 2012.
Venice, Italy, 2012
Performance Evaluation of Pension Funds, 5th CSDA International Conference on Computational and Financial Econometrics, London, UK, 2011.
London, United Kingdom, 2011
Asset-Liability Management for Pension Funds in a Time-Varying Volatility Environment, 28th European Meeting of Statisticians, Piraeus, Greece, 2010.
Piraeus, Greece, 2010
Asset Liability Management Using Derivatives, 6th Conference in Actuarial Science & Finance on Samos, Samos, Greece, 2010.
Samos, Greece, 2010
Asset Allocation Using Derivatives, 11th Insurance: Mathematics and Economics, Piraeus, Greece, 2007.
Piraeus, Greece, 2007
Pension Fund Management: Asset Allocation Under Long Range Dependence, 3rd Ιnternational Conference on Applied Financial Economics, Samos, Greece, 2006.
Samos, Greece, 2006
On the Application of Fractional Brownian Motion in Insurance as a Modelling Tool for Long Range Dependence, 10th International Congress on Insurance: Mathematics and Economics, Leuven, Belgium, 2006.
Leuven, Belgium, 2006
Fractional Brownian Motion and Applications in Insurance and Finance, Second Summer School in Actuarial - Financial Mathematics, Samos, Greece, 2005.
Samos, Greece, 2005
Insurance control for a simple model with liabilities of the fractional Brownian motion type, 3rd Conference in Actuarial Science & Finance in Samos, Samos, Greece, 2004.
Samos, Greece, 2004
Testing for Long - Range Dependence: The case of Athens Stock Exchange, HERCMA 2001, Athens, Greece, 2001.
Athens, Greece, 2001
Design of an Optimal Bonus - Malus System in Automobile Insurance, HERCMA 1998, Athens, Greece, 1998.
Athens, Greece, 1998
Teaching and supervision
Previous supervision
Degree subject: Biological Sciences
Degree type: Doctor of Philosophy
Awarded date: 4/7/2023
Degree subject: Actuarial Science
Degree type: Doctor of Philosophy
Awarded date: 28/1/2021
Degree subject: Statistics
Degree type: Doctor of Philosophy
Awarded date: 6/1/2021
Degree subject: Statistics
Degree type: Doctor of Philosophy
Awarded date: 22/5/2020
Publications
Journal articles (25)
Vrontos, I., Galakis, J., Panopoulou, E. and Vrontos, S., (2024). Forecasting GDP growth: the economic impact of COVID-19 Pandemic. Journal of Forecasting
Sing Wong, A., Vrontos, S. and Taylor, M., (2022). An assessment of people living by coral reefs over space and time. Global Change Biology. 28 (23), 7139-7153
Meligkotsidou, L., Panopoulou, E., Vrontos, ID. and Vrontos, SD., (2021). Out-of-sample equity premium prediction: a complete subset quantile regression approach. The European Journal of Finance. 27 (1-2), 110-135
Vrontos, S., Galakis, J. and Vrontos, I., (2021). Modeling and predicting U.S. recessions using machine learning techniques. International Journal of Forecasting. 37 (2), 647-671
Iworiso, J. and Vrontos, S., (2021). On the Predictability of the Equity Premium Using Deep Learning Techniques. Journal of Financial Data Science. 3 (Winter, 2021), 74-92
Vrontos, S., Galakis, J. and Vrontos, I., (2021). Implied Volatility Directional Forecasting: A Machine Learning Approach. Quantitative Finance. 2021 (10), 1687-1706
Galakis, J., Vrontos, I. and Vrontos, S., (2021). Style Rotation Revisited. Journal of Financial Data Science. Spring 2021 (2), 110-133
Iworiso, J. and Vrontos, S., (2020). On the Directional Predictability of Equity Premium Using Machine Learning Techniques. Journal of Forecasting. 39 (3), 449-469
Abdul Aziz, NS., Vrontos, S. and Hasim, HM., (2019). Evaluation of Multivariate GARCH Models in an Optimal Asset Allocation Framework. The North American Journal of Economics and Finance. 47, 568-596
Meligkotsidou, L., Panopoulou, E., Vrontos, I. and Vrontos, SD., (2019). Quantile Forecast Combinations in Realised Volatility Prediction. Journal of the Operational Research Society. 70 (10), 1720-1733
Tzougas, G., Vrontos, S. and Frangos, N., (2018). Bonus-Malus Systems with Two Component Mixture Models Arising from Different Parametric Families. North American Actuarial Journal. 22 (1), 55-91
Vrontos, S., (2016). Hedge Funds Managerial Skill Revisited: A Quantile Regression Approach. Bankers, Markets & Investors. 140
Panopoulou, E. and Vrontos, S., (2015). Hedge fund return predictability; To combine forecasts or combine information?. Journal of Banking & Finance. 56, 103-122
Tzougas, G., Vrontos, S. and Frangos, N., (2015). Risk Classification for Claim Counts and Losses Using Regression Models for Location, Scale and Shape. Variance. 9 (1), 140-157
Meligkotsidou, L., Panopoulou, E., Vrontos, ID. and Vrontos, SD., (2014). A Quantile Regression Approach to Equity Premium Prediction. Journal of Forecasting. 33 (7), 558-576
Tzougas, G., Vrontos, S. and Frangos, N., (2014). OPTIMAL BONUS-MALUS SYSTEMS USING FINITE MIXTURE MODELS. ASTIN Bulletin. 44 (2), 417-444
Chadjiconstantinidis, S. and Vrontos, S., (2014). On a renewal risk process with dependence under a Farlie–Gumbel–Morgenstern copula. Scandinavian Actuarial Journal. 2014 (2), 125-158
Tzougas, G., Vrontos, S. and Frangos, N., (2014). Optimal bonus-malus systems using finite mixture models. ASTIN Bulletin. 44 (02), 417-444
Vrontos, SD., Vrontos, ID. and Meligkotsidou, L., (2013). Asset-liability management for pension funds in a time-varying volatility environment. Journal of Asset Management. 14 (5), 306-333
Vrontos, ID., Meligkotsidou, L. and Vrontos, SD., (2011). Performance evaluation of mutual fund investments: The impact of non-normality and time-varying volatility. Journal of Asset Management. 12 (4), 292-307
Meligkotsidou, L., Vrontos, ID. and Vrontos, SD., (2009). Quantile regression analysis of hedge fund strategies. Journal of Empirical Finance. 16 (2), 264-279
Vrontos, SD., Vrontos, ID. and Giamouridis, D., (2008). Hedge fund pricing and model uncertainty. Journal of Banking & Finance. 32 (5), 741-753
Frangos, NE., Vrontos, SD. and Yannacopoulos, AN., (2007). Reinsurance control in a model with liabilities of the fractional Brownian motion type. Applied Stochastic Models in Business and Industry. 23 (5), 403-428
Frangos *, NE., Vrontos, SD. and Yannacopoulos, AN., (2005). Ruin probability at a given time for a model with liabilities of the fractional Brownian motion type: A partial differential equation approach. Scandinavian Actuarial Journal. 2005 (4), 285-308
Frangos, NE. and Vrontos, SD., (2001). Design of Optimal Bonus-Malus Systems With a Frequency and a Severity Component On an Individual Basis in Automobile Insurance. ASTIN Bulletin. 31 (1), 1-22
Grants and funding
2022
Evaluation of Essex Police's Knife Crime intervention pilot
Essex Police
Analyse tradesman insurance data to determine risk and premium
Polaris
Evaluation of Essex Police's Knife Crime intervention pilot
Essex Police
2021
Analyse question set used by property insurers to determine risk
Polaris
Advent Insurance Management Limited KTP Application
Innovate UK (formerly Technology Strategy Board)
Shepherd Compello KTP
Innovate UK (formerly Technology Strategy Board)
2020
Planning tools for pre and post retirees
Maji Financial Wellbeing Ltd
2017
To develop a predictive, self-learning model for automotive warranty expenditure with reference to a broad range of drivers ranging from product quality to dealer and customer behaviour.
MSX International
