Sustainable Opportunities Using Mathematical/Statistical Computational Tools in Nigeria on Financial Management Services in Corporates and Financial Institutions

Dr. Chandrashekhar Uppin

Abstract


Abstract: The paper outlines the potential impact-areas of emerging computational technological tools on financial management practice at Corporates and financial institutions in a developing economy like Nigeria where relatively new discipline/practices are adopted. Computing tools are utilized in almost every discipline, notably, finance, economics and engineering.  The research to date is varied but geared towards finding optimal solutions to such financial management problems as asset / derivatives pricing, portfolio risk management, modelling for scenario simulations, and generally providing better understanding of market trends and behaviour of financial assets. Increasingly sophisticated financial mathematical/statistical computational tools and theories are constantly being discovered and traditional analytical techniques such as spread sheet packages are being applied in new ways. Consequently, a wide variety of sustainable career opportunities are open to people with mathematical, statistical, and computational talents and training, but a holistic assessment of the impact of deployable computational tools financial management and corporates is arguably neglected. To advance the research in this regard, I employed exploratory research approach to identify emerging computational financial technology products and tried to schematize the impact realms for further empirical investigation. The paper advocates the need to deepen the role of computational technological tools in providing helpful insights into portfolio investment valuation and performance issues in today’s data-driven and fast-paced marketplace. Towards the end, the paper also stresses the imperatives for tertiary educational institutions to be supported with targeted resources and robust curriculum reforms in order to achieve emerging mathematical and statistical computational technology’s maximum impact for sustainable corporate and financial institution productivity and national prosperity.

Keywords: Computational finance, Financial management practice, Financial mathematical/Statistical tools, Computational financial technology, Higher educational institutions.


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ISSN : 2251-1563