Dr Menelaos Tasiou
I am a Senior Lecturer in Quantitative Methods and Data Analytics at the Faculty of Business and Law. I joined the Faculty in December 2018, having previously been a Graduate Teaching Assistant since January 2017. I hold a Bachelor's degree in Economics (University of Crete, Greece), a Master's degree in Banking and Finance (Surrey Business School, UK), and a PhD in Economics and Finance (Portsmouth Business School, UK).
My teaching responsibilities include delivering lectures in and across subject groups of the Faculty in modules such as Quantitative Methods & Data Analysis, Statistics & Data Modelling, Business Intelligence and Analytics. In addition, I am supervising a number of undergraduate, postgraduate, and doctoral students.
My background lies in the intersection of Economics and Finance. I'm specialising in quantitative topics around the area of metric modelling and decision analysis via means of Multiple Criteria Decision Making (MCDA) methods.
Research-wise, my interests are twofold:
- On the one hand, they revolve around the development and application of evaluation frameworks using metrics (commonly encountered as 'composite indicators'). Put simply, metrics are an intrinsic measurement mechanism used to show to decision/policy-makers how well economic units perform, or how efficient they are relative to their counterparts. My research on that front deals particularly with the modelling of weighting and aggregation steps in metric development.
- On the other hand, my research revolves around empirical finance applications, such as financial institutions and firms’ risk and performance, managerial and governance attributes and the interplay between firms, formal and informal institutions. Put simply, firms (financial or not) do not exist in a vacuum, although that would be a great parsimonious simplification for many research streams. My interest lies in observing and measuring changes driven by those sitting at the firms' wheel, by those setting the rules of the game, as well as how all these are conditioned by the -often neglected yet highly important- 'unwritten' social rules.
- Greco, S., Ishizaka, A., Tasiou, M., & Torrisi, G. (2020). The ordinal input for cardinal output approach of non-compensatory composite indicators: the PROMETHEE scoring method, European Journal of Operational Research, DOI: 10.1016/j.ejor.2020.05.036.
- Papadimitri, P., Pasiouras, F., Tasiou, M., Ventouri, A. (2020). The effects of board of directors’ education on firms’ credit ratings, Journal of Business Research, DOI: 10.1016/j.jbusres.2020.04.059.
- Gaganis, C., Papadimitri, P., Tasiou, M. (2020). A multicriteria decision support tool for modelling bank credit ratings, Annals of Operations Research. DOI: 10.1007/s10479-020-03516-9.
- Greco, S., Ishizaka, A., Tasiou, M., & Torrisi, G. (2019). Sigma-Mu efficiency analysis: a methodology for evaluating units through composite indicators. European Journal of Operational Research, 278(3), 942-960, DOI: 10.1016/j.ejor.2019.04.012.