Non-Interest Income and Financial Performance of Listed Commercial Banks in Kenya


Lukandu Washika Stanley , Prof. Willy Mwangi Muturi ,

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Volume 12 - April 2023 (04)


Despite significant financial sector changes in Africa in the 1980s and 1990s, commercial banks' financial performance has remained weak, unproductive, and ineffectual in regard to the overall performance of financial revenues stability and earnings boost stream. As financial institutions struggle to maintain and boost their financial viability in the face of diminishing income, primarily as a result of an over-reliance on interest rate income, commercial banks' diversification into noninterest income has steadily expanded. As an integral part of the monetary sector, commercial institutions play an important part in the well-planned cash withdrawal from borrowers and investors, enabling various parties, investors, and banks to gain big profits. The demographic targeted by this study consisted of the 42 commercial banking financial institutions that would hold official licenses from the Central Bank of Kenya by December 2021. Using panel data methods from random and fixed effects models, the four research areas were assessed. Using panel cointegration approaches with random effect and fixed effect assumptions, the four hypotheses were assessed. According to the study findings, Fees and commissions, trading income streams, income from foreign currency, and other income diversification, all had a major positive impact on financial profitability. The study concluded that there was a positive relationship between noninterest income and the financial performance of Kenyan commercial banks, that unrelated revenue streams lower the risk of a sudden, unexpected outcome and in a diversified interest revenue stream. The study recommended that there should exist risk mitigation measures set aside through revenue diversification. Commercial banks should diversify their activities to promote profitability, confidence, develop marketing policies that will boost income earnings and businesses operations growth.
Objective: The general objective of this study was to investigate how noninterest income affects the financial performance of listed commercial banks in Kenya.


Non-interest Income; Performance; Profitability; Income Streams; Commercial Banks, Fixed Effects.


i. Anyanzwa, J. (2017). Interest rate caps eat into Kenya banks’ profits. The East African. Retrieved 17 August 2017, from

ii.   Baddeley, M. & Barrowclough, D. (2012). Running Regressions: A Practical Guide to Quantitative Research in Economics, Finance and Development Studies. Cambridge: Cambridge University.

iii.   Barnes, S.J. (2003). Enterprise mobility: Concepts and examples. International Journal of Mobile Communications, 1(4), 341-359.

iv.  Baltagi, B.H. (2005). Econometric Analysis of Panel Data. England: John Wiley and Sons Ltd, the Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ.

v.  Bryman, A. (2016). Social research methods. Oxford: Oxford university press.

vi.  Burns, N., & Grove, S. K. (2010). Understanding Nursing Research: Building an   Evidence-Based Practice. Maryland: Elsevier Health Sciences

vii.  Calmes C., & Theoret R. (2013). The Change in Banks‟ Product Mix, Diversification and Performance: An Application of Multivariate GARCH to Canadian data, chaire information financiere et organizationally (ESGUQAM), Canada

viii.Cameron, A. C. & Trivedi, P. K. (2009). ‘Micro Econometric Using Stata, USA: Stata Press Publication.

ix. Castillo, J. J. (2009). Population sampling techniques. Retrieved from Experiment Resources:,retrieved on 10th September 2011

x. CBK (2012). Annual supervision report. 1174296311_2012 Annual Report.

xi.    CBK (2019). Annual supervision report. 1174296311_2019 Annual Report.

xii.  CBK (2020). Annual supervision report. 468154612_2020 Annual Report.

xiii.Celine M., Ruth T. & Tarazi A., (2013). Is Bank Income Diversification Beneficial? Evidence from an Emerging.

xiv.Cetorelli, N., Mandel, B. H., & Mollineaux, L. (2012). The evolution of banks and financial intermediation. Economic Review, Federal Reserve Bank of New York, 18(2), 1-12.

xv.  Cooper, D.R., & Schindler, P.S. (2011). Business Research Methods, 11th, edition. McGraw-Hill Publishing, Co. Ltd. New Delhi-India.

xvi.Cooper, D. R., & Schindler, P. S. (2013). Business Research Methods. (9thedition). USA: McGraw-Hill.

xvii. Cooper, D.R., & Schindler, P.S. (2017). Business Research Methods, 11th, edition. McGraw-Hill Publishing, Co. Ltd. New Delhi-India.

xviii. Coase, R. H. (1937). The Nature of the Firm. Economical 4, 386-405.

xix.Creswell, W. J. (2014). Research Design, Qualitative, Quantitative and Mixed Method Approaches. (4th Edition). New York: Sage Publication.

xx.  Currier, D.P. (1984). Elements of the Research in Physical Therapy 2nd edition Baltinore.

xxi.DeYoung, R.; Roland, K.P. (2001). Product Mix and Earnings Volatility at Commercial Banks: Evidence from a Degree of Total Leverage Model. Journal of Financial Intermediation.

xxii. Doumpos M., Gaganis C., & Pasiouras F., (2013). Bank Diversification and Overall Financial Strength: International Evidence around the Crisis. Financial

xxiii. Eberhardt, M. (2012). Estimating Panel Time-series Models with Heterogeneous Slopes. Stata Journal, 12(1), 61-71.

xxiv. Ebrahim, A., & Hasan I. (2008). The Value Relevance of Product Diversification in Commercial Banks, Review of Accounting and Finance, 7(1), 24-37, Emerald Group     Publishing Limited

xxv. Ember, C., & Ember, M. (2009). Cross Cultural Research Methods, 2nd edition. Altamira Press, New York, United States of America.

xxvi. Galvao, A. F., Montes-Rojas, G., Sosa-Escudero, W., & Wang, L. (2013). Tests for Skewness and Kurtosis in the One-Way Error Component Model. Journal of Multivariate Analysis, 122, 35-52.

xxvii. Githira, C. W., Muturi, W., & Nasieku, T. (2018). Influence of Firm Financial Characteristics on Stock Return of Firms Listed in Nairobi Securities. American Based Research Journal, 8(3), 35-52.

xxviii. Hill, Hall, I., &Charles W.L. (1990). “Cooperation, Opportunism, and the Invisible Hand: Implications for Transaction Cost Theory.” Academy of Management Review 15(3), 500-513.

xxix.Köhler, M., Düllmann, K., Herrmann, H. & Memmel, C. (2013). Does non-interest income make banks riskier? ISBN 97838 65589156 Kothari, C.R. (2004). Research methodology methods and techniques (Revised 2nd edition). New Delhi, India: New Age international publishers.

xxx. Kombo, D.K., & Tromp, D.L.A. (2009). Proposal and Thesis Writing: An Introduction. Paulines Publications Africa, Don Bosco Printing Press, Nairobi Kenya

xxxi. Kothari, C.R. (2004). Research methodology methods and techniques (Revised 2nd edition). New Delhi, India: New Age international publishers.

xxxii.  Lavrakas, P. (2008). Encyclopedia of Survey Research Methods Vol. 1 & 2. Sage Publications, Los Angeles, United States of America.

xxxiii. Lempert, R. (1966). Strategies of Research Design in the Legal Impact Study: The Control of Plausible Rival Hypotheses. Law and Society Review, 1, 111-132.

xxxiv. Lipunga, A. M. (2014). Determinants of Profitability of Listed Commercial Banks in Developing Countries: Evidence from Malawi. Research Journal of Finance and Accounting, 5(6), 41-49

xxxv.  Malhotra, N. (2007). Marketing Research: Unapplied Orientation, (5thed.), PHI, New Delhi: Pearson Education Australia.

xxxvi. Markowitz, H.M. (1959). Portfolio Selection: Efficient Diversification of Investment. John Wiley & Sons, New York.

xxxvii. Montgomery, C. A. (1994). Corporate Diversification. Journal of Economic Perspectives, 8(3), 163-178.

xxxviii. Miller, G. J., & Yang, K. (2008). Handbook of Research Methods in Public Administration. New York: Auerbach Publications, Taylor & Francis Group Modell.

xxxix. Mugenda, O.M. & Mugenda, A.G. (2003). Research Methods, Quantitative & Qualitative Approaches, Acts Press, Nairobi.

xl.    Ng'endo, K. (2012). The relationship between non-interest income and financial performance of commercial banks in Kenya. October 2012

xli.   Oniang’o, R., (2015). Effect of Non-Interest Income on Profitability of Commercial Banks in Kenya. MBA Thesis University of Nairobi.

xlii.Olweny, T. & Shipho, T.M. (2010). Effects of Banking Sectoral Factors on the Profitability of Commercial Banks in Kenya’, Economics and Finance Review 1(5), 01-30. 

xliii. Polit, D., & Beck, C. (2003). Nursing Research: Principles & Methods, 7th Edition, Lippincott, and Williams & Wilkins, United States of America.

xliv. Reichel, M., & Ramey, M. A. (1987). Conceptual frameworks for bibliographic education. Theory to practice. Litleton, Colorado: Libraries Unlimited Inc.

xlv.Saunders, A. (1999). Financial institutions management: Modern Perspective, 3rd Edition, Irwin McGraw Hill.

xlvi. Silverman, B. S. (1999). Technological resources and the direction of corporate diversification: Toward an integration of the resource-based view and transaction cost economics. Management science, 45(8), 1109-1124.

xlvii. Smyth, R. (2004). Exploring the usefulness of a conceptual framework as a research tool: A researcher’s reflection. Issues in Education Research, 14(2), 167-180.

xlviii. Tether, B. (2001). Identifying innovation, innovation and innovative behaviours: A Critical assessment of the community innovation survey. Centre for Research on Innovation & Competition, Manchester, United Kingdom. Retrieved on 24th August, 2011 @

xlix. Williams, B., (2014). The Impact of non-interest Income on Bank Risk in Australia. Social science research network

l.        Wooldridge, J.M. (2012). Econometric Analysis of Cross Section and Panel Data. MIT Press. World Bank (2017). Country Overview, Kenya. Retrieved from

li.      Zikmund, G.W., Babin, B.J., Carr, C.J. & Griffin, M. (2010). Business Research Methods 8th ed. South-Western, Cengage Learning 222

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