Progamme: Banking and Finance

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Author: search.filters.author.Omankhanlen, Alexander EhimareStart date: 2017

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    Dataset on Digital Financial Inclusion and Artificial Intelligence: A Structural Equation Modelling (SEM) Approach
    (Peer Review, 2024) Jegede, Wuraola P.; Ikpefan, Ailemen O.; Omankhanlen, Alexander Ehimare; Okorie, Uchechukwu E.
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    The Effect of Anchor Borrower's Programme on Agricultural Output in Nigeria
    (International Journal of Agricultural Science, 2024-02) Makinde, Damilola Ayomiposi; Akinjare, Victoria Abosede; Omankhanlen, Alexander Ehimare; Isibor, Areghan Akhanolu
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    Impact of Capital Structure on Financial Performance of Firms in the Nigerian Healthcare Sector
    (Journal of Comprehensive Business Administration Research, 2024) Omokore, David Eyitayo; Njogo, BibianaOluckukwu; Omankhanlen, Alexander Ehimare; Islaka, Muideen; Akinjare, Victoria Abosede
    This study aims to explore how the capital structure affects the financial performance of healthcare companies listed on the Nigerian StockExchange(NSE)from2012to2021.Capitalstructurewhichconsidershowacompanycombinesitsmixofequityanddebtinfinancingits business is important to its overall operations and growth. To conduct this research, eight healthcare firms listed on the NSE were deliberately chosen. The study examined the financial data of various firms, through their annual reports. The data included short-term and long-term debts, equity (the value of a company’sshares), return on equity,andsize.The studyusedcorrelation and regressionfor its analysis. The results showed that short-termdebt,long-termdebt,andequityhadanegativebutsignificantrelationshipwithreturnonequity.However,thesizeofthecompany had a positive and significant relationship with return on equity. Based on the findings, the study recommends that healthcare firms should consider using long-term debts to increase the time to repay the borrowed capital and generate more profit
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    Artificial Intelligence Application and Financial Inclusion Nexus on Sustainable Development Goals (SDGs) in Nigeria
    (Journal of Psothumanism Vol 5 No &, 2025) Omankhanlen, Alexander Ehimare; Jegede, Wuraola Pelumi; Nwobodo, Helen
    This study evaluated Artificial Intelligence Applications and Financial Inclusion Nexus in Nigeria. Financial institutions have always had the problem of meeting the financial needs of the low-income group in society, though, they have done their best to meet their needs, their effort have not yielded good results. Getting individuals and businesses into the formal financial net has been a problem. The present SDGs as constituted rest more on inclusiveness, especially financial inclusion. The SDGs comprise an ambitious 17 goals. While the Sustainable Development Goals (SDGs) do not explicitly address financial inclusion, increased access to financial services is a crucial facilitator for achieving many goals. The financial institutions and products are not suited for the low-income group in society, in addition, rural dwellers do not have access to financial institutions and products. The study used survey instruments and interviews for data collection. That is. using the mixed research method with data from three hundred and eighty-four respondents selected from rural communities, financial institutions, and universities in South-West Nigeria. The data were analysed using descriptive statistics, confirmatory factor analysis, regression analysis, structural equation model (SEM), and narrative technique. The results indicate that AI applications have significantly impacted financial inclusion in South-West Nigeria. Based on this, the study recommended that financial institutions invest in building AI-enabled platforms in local languages that will respond to customers’ needs.
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    Impact Assessment of the Agricultural Credit Guarantee Scheme Fund on Agricultural Sector Growth
    (Journal of Global Entrepreneurial Management, 2026) Omankhanlen, Alexander Ehimare; Akinjare, Victoria Abosede; Ehikioya, Benjamin Ighodalo; Makinde, Damilola Ayomiposi
    The Agricultural Credit Guarantee Scheme Fund was established in 1978 by the military federal government in 1977 to incentivize banks to increase lending to the agricultural sector. However, the lack of repayment of previously lent loans has led to a shortage in the distribution of loans. The primary objective is to analyze the effectiveness of the CBN agricultural intervention program, specifically the Agricultural Credit Guarantee Scheme Fund, over 30 years from 1991 to 2020. Using the Ordinary Least Squares (OLS) method, a linear model was employed to examine the relationship between dependent and explanatory variables. The study’s findings reveal that the coefficient of the Agricultural Credit Guarantee Scheme Fund is negative, at the 5% level. This could indicate that beneficiaries in the sector are not making full use of the fund. The report proposes that banks focus solely on agricultural lending to encourage agricultural growth and ensure that loans are allocated toward their intended agricultural purposes to avoid money misuse.
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    Financial Deepening and Economic Growth Nexus in Nigeria
    (Journal of Global Entrepreneurial Management Vol4(1), 2026) Omokore, David Eyitayo; Omankhanlen, Alexander Ehimare; Ajayi, Olusuyi; Akinjare, Victoria Abosede
    This study explored the relationship between financial deepening and economic growth in Nigeria over the period 1971 to 2020. The literature presents differing views on whether financial deepening has a positive effect on economic growth, prompting further empirical investigation. Annual data on key variables-such as lending interest rate, bank capital, bank liquid reserves, domestic credit, and stock traded-were obtained from the World Bank Indicators. The analysis employed an Ordinary Least Squares (OLS) regression model to assess the effects of these variables on Nigeria’s GDP. The results indicated that bank liquid reserves had a positive and statistically significant impact on GDP at the 5% significance level, while domestic credit and stock traded were positive but not statistically significant. Based on these findings, the study recommends that the Central Bank of Nigeria (CBN) urgently reconsider its monetary policy rate and the volume of financial resources allocated to the private sector. Additionally, measures should be introduced to cushion the effects of disinvestment and to promote policies that enhance income, liquidity preferences, and savings behavior among citizens, all of which can contribute to a more resilient economy. Finally, financial institutions are encouraged to develop a wider range of financial instruments to attract investors and mobilize idle funds for productive investments
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    Monetary Policy Rate And Poverty Reduction In Nigeria: The Role Of Microfinance Banks
    (Jurnal Akuntansi dan Bisnis : Jurnal Program Studi Akuntansi., 2025) Adesina, Tolulope; Makinde, Damilola Ayomiposi; Omankhanlen, Alexander Ehimare
    Poverty remains a major socio-economic challenge in Nigeria, despite the expansion of microfinance banking aimed at enhancing credit access for low-income groups. However, the effectiveness of microfinance banks (MFBs) in reducing poverty is increasingly shaped by macroeconomic conditions, particularly the Monetary Policy Rate (MPR), which sets benchmark interest rates across the financial system. High MPRs raise borrowing costs, making loans less affordable for the poor and small-scale entrepreneurs who depend on MFBs for credit. This study investigates the impact of changes in the MPR on poverty reduction in Nigeria, focusing on how monetary policy influences the lending capacity of microfinance institutions. The study is theoretically grounded primarily in the Keynesian Theory of Interest Rate and Investment and the Monetary Transmission Mechanism Theory, which explain how changes in interest rates influence investment and credit flows in the economy. The Credit Rationing Theory further informs understanding of how lending constraints affect credit availability for low-income borrowers. A quantitative approach is adopted, using quarterly time-series data from 2008 to 2023. The Johansen Cointegration Test and Vector Error Correction Model (VECM) are employed to examine both long-run and short-run relationships among key variables. Results show that a 1% increase in MPR leads to an estimated 0.48 percentage point rise in the national poverty rate. In contrast, increases in the loan-to-deposit ratio and capital adequacy ratio of MFBs are associated with reductions in poverty levels. The study concludes that monetary policy decisions significantly affect poverty outcomes through their influence on microfinance operations. It recommends that policymakers adopt inclusive monetary strategies that support affordable microcredit, while maintaining macroeconomic stability, to enhance financial inclusion and reduce poverty.