LIQUIDITY RISK AND ANNUAL STOCK RETURNS OF LISTED AGRICULTURAL FIRMS AT THE NAIROBI SECURITIESEXCHANGE, KENYA
DOI:
https://doi.org/10.5281/zenodo.22106788Keywords:
Liquidity Risk, Annual Stock Returns, Firm Size, Agricultural Firms, NSEAbstract
The agricultural sector plays a significant role in Kenya’s economy, yet agricultural firms listed on NSE continue to experience fluctuations in annual stock returns. Listed agricultural firms in Kenya (trading on the Nairobi Securities Exchange) show volatile and fluctuating profitability, with average Return on Assets ranging between -7% and 12% from recent years. One potential factor is liquidity risk, which reflects a firm’s ability to meet short-term financial obligations and sustain its operations without incurring excessive financing costs or disposing of assets at unfavorable prices. As at 2026, out of 64 firms listed at NSE, agricultural firms are 7, comprising of 10.9% of all listed firms in the NSE. This study examined the moderating effect of firm size on the relationship between liquidity risk and annual stock returns of listed agricultural firms in Kenya. The study employed a positivist research philosophy and a longitudinal explanatory research design. The target population were 7 agricultural companies listed at the Nairobi Securities Exchange and the study period was 2015-2024. Secondary data was gathered from the financial statements of the firms under study. The results were presented as descriptive, correlation and dynamic panel regression model. From the results, the study found that liquidity risk has a negative and statistically significant relationship on annual stock returns of the listed agricultural firms. Finally, firm size recorded a positive and statistically significant moderating effect on the relationship between liquidity risk and annual stock returns. The study recommended that management of agricultural firms listed at the NSE should strengthen liquidity risk management by maintaining adequate working capital, improving cash flow forecasting, optimizing inventory and receivables management, and diversifying short-term financing sources. Firms should regularly monitor key liquidity indicators and establish robust internal controls to ensure that short-term obligations are met without compromising operational efficiency.
Downloads
References
Aiken, L. S., West, S. G., & Reno, R. R. (1991). Multiple regression: Testing and interpreting interactions. sage. https://archive.org/details/multipleregressi0000leon
Aluoch, M. O. (2021). Corporate governance, financial characteristics, macroeconomic factors and financial performance of agricultural firms listed at the Nairobi securities exchange, Kenya. European Scientific Journal ESJ, 17, 19. https://doi.org/10.19044/esj.2021.v17n19p71
Blessing, H., & Sakouvogui, G. (2023). Impact of liquidity and solvency ratios on financial performance: a comprehensive analysis. Indonesia Auditing Research Journal, 12(3), 102-115. https://journals.iarn.or.id/index.php/ARJ/article/view/208
Budziński, W., & Czajkowski, M. (2022). Endogeneity and measurement bias of the indicator variables in hybrid choice models: A Monte Carlo investigation. Environmental and Resource Economics, 83(3), 605-629. https://link.springer.com/article/10.1007/s10640-022-00702-0
Cekrezi, A. (2013). A literature review of the trade− off theory of capital structure. Iliria International Review, 3(1), 125-134. https://doi.org/10.21113/iir.v3i1.103
Edokpa, S. I., Farouk, M. A., & Uyagu, B. D. (2024). Moderating Effect of Share Price on the Relationship Between Capital Structure and Dividend Payout of Quoted Agriculture Firms in Nigeria. International Journal of Management and Economics Invention, 10(7), 3319-3330. https://doi.org/10.47191/ijmei/v10i7.02
Eltweri, A., Sawan, N., Al-Hajaya, K., & Badri, Z. (2024). The influence of liquidity risk on financial performance: A study of the UK’s largest commercial banks. Journal of Risk and Financial Management, 17(12), 580. https://doi.org/10.3390/jrfm17120580
Jagongo, E. (2026). Financial Risks and Profitability of Agricultural Firms Listed at the Nairobi Securities Exchange, Kenya: A Theoretical Review. International Journal of Finance and Accounting, 11(2):40-55. https://doi.org/10.47604/ijfa.3691
Jalloul, R., & Haque, M. (2026). Stock Market Efficiency and Banking Stability: Empirical Evidence from the MENA Region. Journal of Risk and Financial Management, 19(2), 162. https://doi.org/10.3390/jrfm19020162
Kadima, M. J. (2024). Working Capital Management, Firm Size and Stock Liquidity of Firms at Nairobi Securities Exchange, Kenya (Doctoral dissertation, JKUAT-COHRED). http://ir.jkuat.ac.ke/handle/123456789/6514
Kalina, J., Vašaničová, P., & Litavcová, E. (2019). Regression Quantiles under Heteroscedasticity and Multicollinearity: Analysis of Travel and Tourism Competitiveness 1. Ekonomicky Casopis, 67(1), 69-85. https://www.sav.sk/?lang=en&doc=journal-list&part=article_response_page&journal_article_no=16099
Kerubo, O. S. (2020). Financial risk and performance of commercial and services listed companies in Nairobi securities exchange, Kenya. Nairobi: Unpublished. https://doi.org/10.3390/ijfs8030051?urlappend=%3Futm_source%3Dresearchgate.net%26utm_medium%3Darticle
Khoza, F. (2025). The impact of liquidity and leverage on the financial performance of the johannesburg stock exchange-listed consumer goods firms. Journal of Risk and Financial Management, 18(9), 510. https://doi.org/10.3390/jrfm18090510
Kieti, W. M., Jagongo, A. O. (2026). Corporate governance and profitability of agricultural firms listed at the Nairobi Securities Exchange, Kenya. International Academic Journal of Economics and Finance (IAJEF) | ISSN 2518-2366, 5(2), 268-290. https://ir-library.ku.ac.ke/items/7a626176-c8ff-4093-af82-d7c435eae6c0
Kilonzo, E. N., & Nkuru, F. (2023). Firm financial indicators and share returns on agricultural firms listed at Nairobi Securities Exchange, Kenya. The Strategic Journal of Business & Change Management, 10(4), 1407-1426. https://www.strategicjournals.com/index.php/journal/article/download/2826/2681
Kim, J. H. (2019). Multicollinearity and misleading statistical results. Korean journal of anesthesiology, 72(6), 558-569. https://doi.org/10.4097/kja.19087
Kinyua, F. W., & Fredrick, W. (2022). Liquidity risk and financial performance of manufacturing firms listed at Nairobi Securities Exchange. International Academic Journal of Economics and Finance, 3 (8), 1, 24(2). https://www.iajournals.org/articles/iajef_v3_i8_1_24.pdf
Muchsidin, F. F., Ramlah, R., Samalam, A. G., Wahab, A., & Lawalata, I. L. (2025). Evaluation of liquidity, capital structure, and risk management challenges in maintaining company financial stability. Advances in Management & Financial Reporting, 3(3), 681-696. https://doi.org/10.60079/amfr.v3i3.585
Mugenda, N. G. (2023). Asset pricing risk premia, investor sentiment and stock returns in Kenya (Doctoral dissertation, JKUAT-COHRED). http://ir.jkuat.ac.ke/handle/123456789/6094?show=full
Musneh, R., Abdul Karim, M. R., & Arokiadasan Baburaw, C. G. A. P. (2021). Liquidity risk and stock returns: empirical evidence from industrial products and services sector in Bursa Malaysia. Future Business Journal, 7(1), 60. https://doi.org/10.1186/s43093-021-00106-4
Mysaka, H., & Derun, I. (2021). Corporate financial performance and Tobin’s Q in dividend and growth investing. Contemporary Economics, 276-288. https://doi.org/10.5709/ce.1897-9254.449
Naik, P., & Reddy, Y. V. (2021). Stock market liquidity: A literature review. Sage Open, 11(1), 2158244020985529. https://doi.org/10.1177/2158244020985529?urlappend=%3Futm_source%3Dresearchgate.net%26utm_medium%3Darticle
Neal, T. (2014). Panel cointegration analysis with xtpedroni. The Stata Journal, 14(3), 684-692. https://doi.org/10.1177/1536867X1401400312
Ofulue, I., Okike, J. O., Nworie, G. O., & Nworie, F. N. (2025). Corporate liquidity as a predictor variable of firm earnings in the Nigerian agricultural sector. International Journal of Financial, Accounting, and Management, 7(1), 77-89. https://doi.org/10.35912/ijfam.v7i1.2788
Pedroni, P. (2019). Panel cointegration techniques and open challenges. In Panel data econometrics (pp. 251-287). Academic Press. https://ideas.repec.org/p/wil/wileco/2018-09.html
Pek, J., Wong, O., & Wong, A. C. (2018). How to address non-normality: A taxonomy of approaches, reviewed, and illustrated. Frontiers in psychology, 9, 2104. https://doi.org/10.3389/fpsyg.2018.02104
Pesaran, M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric reviews, 34(6-10), 1089-1117. https://www.tandfonline.com/doi/abs/10.1080/07474938.2014.956623
Rafael, B. M. (2023). The importance of agricultural development projects: A focus on sustenance and employment creation in Kenya, Malawi, Namibia, Rwanda, and Uganda. Journal of Agricultural Chemistry and Environment, 12(2), 152-170. https://doi.org/10.4236/jacen.2023.122013
Rosana, D. M. (2024). Financial Structure Annual Volatility, Stock Liquidity, and Ordinary Equity Security Returns of Public Limited Companies in Kenya (Doctoral dissertation, JKUAT-COHRED). http://ir.jkuat.ac.ke/handle/123456789/6371
Tarighi, H., Zimon, G., Sheikh, M. J., & Sayrani, M. (2024). The impact of firm risk and the COVID-19 crisis on working capital management strategies: Evidence from a market affected by economic uncertainty. Risks, 12(4), 72. https://doi.org/10.3390/risks12040072
Wooldridge, J. M. (2002). Econometric analysis of cross section and panel data MIT press. Cambridge, MA, 108. https://mitpress.mit.edu/9780262232586/econometric-analysis-of-cross-section-and-panel-data/
Downloads
Published
Issue
Section
License
Copyright (c) 2026 International Academic Journal of Economic and Financial Research

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). This permits others to share and adapt the work for non-commercial purposes, provided appropriate credit is given to the original author(s) and source.