Application of the modified organic benchmarks model in assessing performance of university endowment portfolios

Musa Essayyad, Omar Altiti and William B. Galose

International Journal of Monetary Economics and Finance, 2025, vol. 18, issue 1, 34-51

Abstract: This paper investigates the performance of university endowments using a modified version of Tiu's (2017) organic benchmarks model based on panel regressions. The exercise is to ensure that endowments keep adjusting to align with the university goals of enhancing teaching, research, and community engagement. The empirical results show that, whether using pooled ordinary least squares (OLS), fixed effect, random effects, or fixed effect period seemingly unrelated regression (SUR), all panel regression coefficients are positive and statistically significant at all levels for all variables as reported in the university or endowment characteristics or the intertemporal endowments or intertemporal enrolment, and the size of the endowment. The research outcomes substantiate the premise that university endowment funds should concentrate on increasing their endowments size and enhancing their student enrolment, and consequently helping institutions keep adjusting to align with the university goals of enhancing teaching, research, and community engagement.

Keywords: university endowment funds; portfolio performance; capital asset pricing models; organic benchmarks; panel regression. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=145196 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmefi:v:18:y:2025:i:1:p:34-51

Access Statistics for this article

More articles in International Journal of Monetary Economics and Finance from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().