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Cost Drivers and Financial Algorithm in the Nigerian Capital Market

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  • Oyedare, Olufemi Akinloye

    (Accounting and Finance Department, Ajayi Crowther University)

Abstract

This study examines the interaction between cost drivers and financial algorithms in shaping capital market outcomes in Nigeria. Using a balanced panel dataset of fifteen listed deposit money banks over the period 2018–2023, the study employs panel econometric techniques, including fixed effects, random effects, and Hausman specification tests. Findings reveal that operating and financing costs exert significant negative effects on market performance, while strategic expenditure and financial algorithms positively influence valuation efficiency and investor responsiveness. The Hausman test confirms the suitability of the fixed effects model, indicating the presence of firm-specific heterogeneity. The study concludes that effective cost management combined with algorithmic financial integration enhances capital market efficiency in Nigeria. Policy implications emphasize improved cost control, increased digital investment, and strengthened regulatory frameworks to support algorithmic trading systems.

Suggested Citation

  • Oyedare, Olufemi Akinloye, 2026. "Cost Drivers and Financial Algorithm in the Nigerian Capital Market," East African Finance Journal, East African Finance Journal, vol. 5(2).
    • Handle: RePEc:cwk:eafjke:2026-18
    DOI: 10.59413/eafj/v5.i2.4
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    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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