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The Predictive Power of Key Financia...

Gard, Julee.

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The Predictive Power of Key Financial Metrics: An Exploration of Financial Viability for Tuition-Dependent Institutions.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Predictive Power of Key Financial Metrics: An Exploration of Financial Viability for Tuition-Dependent Institutions./
Author:	Gard, Julee.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	115 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-02, Section: A.
Contained By:	Dissertations Abstracts International85-02A.
Subject:	Higher education. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30424879
ISBN:	9798380135474

The Predictive Power of Key Financial Metrics: An Exploration of Financial Viability for Tuition-Dependent Institutions.
Gard, Julee.

The Predictive Power of Key Financial Metrics: An Exploration of Financial Viability for Tuition-Dependent Institutions. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 115 p.

Source: Dissertations Abstracts International, Volume: 85-02, Section: A.

Thesis (Ed.D.)--University of Pennsylvania, 2023.

This item must not be sold to any third party vendors.

University leaders do not have sufficient tools easily available to guide their decision-making related to institutional financial wellbeing. Currently, many financial indicators used by leaders of tuition-dependent higher education institutions are not focused on vital metrics such as liquidity and cash earnings. The twofold purpose of this research study is to define a framework that could be used by small, private, tuitiondependent universities to determine financial viability and to assess the extent to which the framework can be used to predict institutional survival. The framework identifies current financial data inputs used to calculate an annual Financial Viability Index (FVI). The FVI is categorized by a color code indicative of overall financial health ranging from blue (excellent), down to green (very good), yellow (good), orange (marginal), and red (poor). This quantitative research design focuses on analyzing trended FVIs for small tuition-dependent schools and, utilizing a Markov chain transition matrix, determining the predictive value in the index as it pertains to the financial health of the institution. Institutions starting in blue or green are more likely than not to deteriorate in FVI color in one year; institutions starting in yellow are twice as likely to deteriorate to orange or red rather that improving to green or blue; and schools starting in red are more likely than not to remain in red. A stepwise regression analysis identified certain components in the FVI that weigh more heavily than others in impacting a school going from one color to another. The predictive value of being in red and ultimately closing is strong as 79.5% of the 39 private institutions that have closed since 2017 were red immediately prior to closure.

ISBN: 9798380135474Subjects--Topical Terms:

641065
Higher education.
Subjects--Index Terms:

Decision-making

The Predictive Power of Key Financial Metrics: An Exploration of Financial Viability for Tuition-Dependent Institutions.
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