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Mr Demetris Markou

Lecturer in Economics and Business Statistics

+357 24694015


  • MSc. in Economic Analysis (University of Cyprus, 2010)
  • MA in Finance and Investment (University of Exeter, 2005)
  • BSc. in Business Administration (SUNY New Paltz, 2003)
  • Associate Fellow Higher Education Academy


Employment Track

  • On-line Tutor, University of Derby (2012 – Present)
  • Economics Teacher, the American Academy
  • Research Associate, Cyprus University of Technology (2012 – 2013)
  • Graduate Teaching Assistant, University of Cyprus (2007 – 2010)


Memberships (Academic/Professional)

  • Royal Economic Society


Research Interests

  • Micro Econometrics – Panel Data and discrete choice modelling
  • Financial Econometrics – Time series analysis (linear, nonlinear), and volatility modelling
  • Applied Statistics – Data analysis with a focus on inferential statistics and factor
  • analysis
  • Applied Economics – Small and medium Enterprises; Family businesses and their source of finance

Roles and Responsibilities (including past roles and responsibilities)

Teaching and Course Leadership 

  • Introduction to Mathematics and Statistics
  • Introduction to Statistics and Probability
  • Theory of Probability and Statistics
  • Financial Statistics
  • Business Statistics
  • Introduction to Economics
  • Principles of Economics
  • Research Methods


Selective Conference and Seminar Presentations 

  • Poutziouris P. and Markou D. “Capital structure of UK mid-sized companies: Nonlinearities and dynamics”, Multinational Finance Society Symposium – Larnaca, Cyprus, 2015 Conference Paper
  • Poutziouris P. and Markou D. “Capital structure of growing companies: Evidence from the UK economy across business cycles”, Multinational Finance Society Symposium – Larnaca, Cyprus, 2014 Conference Paper
  • Lambertides N., Markou D., and Savva C. “Diversification opportunities in Emerging Markets”, Multinational Finance Conference – Krakow, Poland, 2012
  • Markou D., and Markou M. “Comparison between a connectionist and an econometric approach to 24-hour ahead electrical load demand forecasting” (Research Promotion Council Funded)