This research studies the impact of board size, board independence, gender diversity, and density contribution on the financial performance of pension fund administrators in Nigeria. It aims to identify the difference in performance between the sets of funds, which are based on the recent multi fund structure classification system. This study uses 20 of the 22 PFAs firm-year panel data for a 3-year period ranging from 2018 to 2020 to analyse the findings. Analysis of variance and panel regression analysis are employed to analyse the relationship between the sets of factors and the financial performance of each of them. Results revealed that there are significant differences in performance between the funds. The findings established the fact that board independence and density contribution significantly influence the financial performance of funds, while board size and gender diversity have no significant impact on the financial performance of funds. The findings provide evidence on the performance of the different categories of fund, which will help the contributor(s) to decide on whether to stay on their default fund or move to another fund. Furthermore, the findings of this study should be of interest to managers and boards of companies in making appropriate choices about corporate governance tools and firm characteristics to improve company's financial performance.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.