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

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.

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Publication Details

Journal
International Journal of Monetary Economics and Finance
Published
2025-01-01
DOI
https://doi.org/10.1504/ijmef.2025.145196
Primary Topic
Intellectual Capital and Performance Analysis
Type
article
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article

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

Musa Essayyad, William B. Galose, Omar Al‐Titi
International Journal of Monetary Economics and Finance
Intellectual Capital and Performance Analysis
article

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

Musa Essayyad, William B. Galose, Omar Al‐Titi
article en

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.

International Journal of Monetary Economics and FinanceVol. 18(1)
King Fahd University of Petroleum and Minerals (SA), McNeese State University (US)
Openalex Percentile: Top 92%
Intellectual Capital and Performance Analysis
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Application of the modified organic benchmarks model in assessing performance of university endowment portfolios — Musa Essayyad, William B. Galose, et al. · International Journal of Monetary Economics and Finance (2025) | TGRS Research Map | TGRS