AI-Based Predictive Financial Modelling on Financial Performance of Listed Firms in Nairobi Securities Exchange

AI-Based Predictive Financial Modelling on Financial Performance of Listed Firms in Nairobi Securities Exchange

Authors

  • Brenda Wangui Muchiri The Catholic University of Eastern Africa
  • Joseph Macheru The Catholic University of Eastern Africa
  • Rahab Lanoi The Catholic University of Eastern Africa

Keywords:

AI-based predictive financial modelling, financial performance, firms listed at Nairobi Securities Exchange.

Abstract

AI enables a systematic mechanism which allows businesses to gather more valuable and updated data to carry out accurate evaluation of market environment and internal operations simultaneously. AI is thus advantageous to firms as it allows them to apply AI driven decision making on sales and credit forecast. However, despite the growth of opportunities associated with the use of AI, external factors and market volatility pose significant risks to the performance of firms listed at NSE. The study thus sought to determine the effect of AI-based predictive financial modelling on financial performance of listed firms in NSE. The study was anchored on Technology-Organization-Environment model. Positivism was employed with correlational research design as the study design. The target population of were the 17 financial firms listed at NSE. Listed firms were the unit of analysis while the unit of observation were the heads of marketing departments, business development department, human resource departments and operations department within the 17 financial firms listed at NSE. Since the target population is relatively small, the investigation conducted a census of all the respondents. Structured questionnaire was to collect primary data. SPSS software was used in the analysis of data. Data analyses involved both descriptive and inferential outcomes which were presented in form of tables and charts. Inferential analysis included correlation and multiple regression analysis. From the results, the investigation established that AI-Based predictive financial modelling showed a positive and significant effect on financial performance (0.321, 0.000<0.05. The study recommends that the firms listed at NSE ought to adopt AI-based predictive financial modelling as a strategic priority to enhance their financial performance as it improves the accuracy and timeliness of forecasting, budgeting and investment decisions. The study further recommends that ought to develop a supportive regulatory framework that encourages the adoption of AI-Business models by the listed firms under study to enhance performance.

Published

2025-09-25

How to Cite

AI-Based Predictive Financial Modelling on Financial Performance of Listed Firms in Nairobi Securities Exchange. (2025). Cuea Journal of Business and Economics, 2(1.0). https://journal.cuea.edu/ojs1/index.php/cjb/article/view/181

Issue

Section

Articles

How to Cite

AI-Based Predictive Financial Modelling on Financial Performance of Listed Firms in Nairobi Securities Exchange. (2025). Cuea Journal of Business and Economics, 2(1.0). https://journal.cuea.edu/ojs1/index.php/cjb/article/view/181
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