US economic recession from 2007- 2009, also known as the Great Recession, negatively impacted the financial sector as well as other aspects of society. Researchers have found value-based measures and accounting measures as effective performance measures, but they have found inconclusive results when comparing the strengths of economic value added (EVA) and accounting measures in predicting stock performance. This study used data from the Great Recession to further compare EVA and accounting measures. The purpose of this cross-sectional or correlational study was to determine the relative predictive strength of EVA during the Great Recession to determine whether a model with EVA added to accounting measures did a better job predicting stock returns. Secondary were data collected from a sample of 93 Fortune 500 Companies from 2007-2009 and then analyzed via multivariate regression analysis. The null hypothesis was not rejected. The result showed that EVA was not a useful addition to accounting variables in predicting stock returns during the Great Recession. Although the findings did not support EVA as a better predictor of stock returns during the Great Recession, the study revealed useful information about value-based measures and value-creation, especially how they are impacted by the period of a severe economic downturn. Researchers have indicated that creating value for shareholders enables the funding of positive-net-present-value projects that would result in positive social change. This study revealed that firms are unlikely to create shareholder value through returns on investment for a positive social change in unfavorable economic conditions.
| Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-3561 |
| Date | 01 January 2016 |
| Creators | Sekyere, Godwin Ohene |
| Publisher | ScholarWorks |
| Source Sets | Walden University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Walden Dissertations and Doctoral Studies |
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