Dr Menelaos Tasiou
My name is Menelaos Tasiou, I grew up in the mountainous areas of Northern Greece and I live in the UK. I am a Senior Lecturer in Quantitative Methods and Data Analytics at the Department of Accounting & Financial Management. I officially joined the Business School 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), and a PhD in Economics and Finance (Portsmouth Business School).
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 or Analytics and Introduction to Finance.
My research lies in the intersection of Finance, Decision Analysis and Management Science. I'm specialising in quantitative topics around the area of metric modelling and decision analysis via means of Multiple Criteria Decision Making (MCDA) methods, often applied in the domain of Finance. If I were to summarise my research, at a theoretical level, it deals with modelling aspects that enhance decision-making, whilst at an applied level, it is in the field of finance & banking and revolves around the actual factors that shape decision-making -from objectively measurable ones attributed to corporate governance, to behavioural ones often proxied by informal institutions- and the corporate outcomes that are affected as a result of these factors.
In more detail, my twofold interests are as follows:
- On the one hand, they revolve around the development and application of methodological 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.
- Gaganis, C., Pasiouras, F., Tasiou, M., & Zopounidis, C. (2020). CISEF: a Composite Index of Social, Environmental and Financial performance, European Journal of Operational Research, DOI: 10.1016/j.ejor.2020.09.035.
- 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.
- 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.
For more information about my research, visit my website.