Journal of Mathematical Finance
Vol.9 No.2(2019), Paper ID 91624, 47
pages
DOI:10.4236/jmf.2019.92007
Systematic Stock Market Characterisation and Development: Perspectives from Random Matrix Theory, Option Pricing, Genetics, and Global Economics
Patrick Oseloka Ezepue, Thomas Chinwe Urama, Mahmoud A. Taib Omar
School of Statistics and Information Modelling, International Centre for Research and Enterprise Development, Sheffield, UK
Statistics and Information Modelling Research Group, Department of Engineering & Mathematics, Sheffield Hallam University, Sheffield, UK
Department of Mathematics, Faculty of Education, University of Sebha, Sebha, Libya
Copyright © 2019 Patrick Oseloka Ezepue, Thomas Chinwe Urama, Mahmoud A. Taib Omar et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Ezepue, P. , Urama, T. and Omar, M. (2019) Systematic Stock Market Characterisation and Development: Perspectives from Random Matrix Theory, Option Pricing, Genetics, and Global Economics.
Journal of Mathematical Finance,
9, 105-151. doi:
10.4236/jmf.2019.92007.