Evaluating the Relationship between Accounting Variables, Value-Based Management Variables, and Shareholder Returns: An Empirical Approach

Q4 Business, Management and Accounting
Oji Okpusa Oke, Kola Benson Ajeigbe
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Abstract

This study assessed the accounting-based variables and value-based management (VBM) variables that jointly affect firm value and performance. The study applied the causality test and variance decomposition to determine the variability of the variables, and further empirically employed fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) techniques to justify the results. Data covering 356 industries were purposively sampled to arrive at 61 companies spanning 2011–2020. Overall, the causality test found no relationship between economic value added and market value added but only found unidirectional causality from shareholder returns to MVA, EVA to shareholder returns, ROA to MVA, ROE to MVA, EVA to MVA, MVA to EVA, ROE to ROA, EVA to ROA, and EVA to ROE. A very strong bidirectional causality relationship was found between return on asset and shareholder return as a measure of company performance. Further results from the forecast error of the variance decomposition showed that shareholder returns are explained only by its own shock, contributing 45.38 percent in the long run, while the remaining variables, namely market value added, return on asset, return on equity, and economic value added, contribute about 35.96%, 14.06%, 4.08%, and 0.51%, respectively, to predicting the future values of shareholder return. This confirms the relationships between the variables from the short run to the long run. Additionally, results from the FMOL and DOL revealed that all accounting variables and VBM are good approaches for evaluating company performance as the empirical result from ROA, ROE, and EVA revealed positive and significant relationships. This confirms that a combination of both variables would produce a better evaluation as the accounting variables and VBM variables jointly relate to shareholder returns. This study serves as a guide to companies’ management and boards of directors in having better ways to evaluate company performance. Consequently, it is recommended that managers select combinations of accounting and VBM variables that suit their operations and jointly apply them in the performance evaluation of the company. This will be useful in providing both the relative and incremental performance information needed for diverse decision-making.
评估会计变量、价值管理变量与股东回报之间的关系:实证方法
本研究评估了基于会计的变量和基于价值的管理(VBM)变量对企业价值和绩效的共同影响。研究运用因果关系检验和方差分解来确定变量的变异性,并进一步采用完全修正普通最小二乘法(FMOLS)和动态普通最小二乘法(DOLS)技术进行实证,以证明结果的合理性。对 356 个行业的数据进行了有目的的抽样,得出了 61 家公司的数据,时间跨度为 2011-2020 年。总体而言,因果检验没有发现经济增加值与市场增加值之间的关系,只发现了股东回报与市场增加值、EVA 与股东回报、ROA 与市场增加值、ROE 与市场增加值、EVA 与市场增加值、MVA 与 EVA、ROE 与 ROA、EVA 与 ROA 以及 EVA 与 ROE 之间的单向因果关系。作为公司业绩的衡量指标,资产回报率与股东回报率之间存在很强的双向因果关系。方差分解预测误差的进一步结果显示,股东回报率仅由其自身冲击所解释,长期贡献率为 45.38%,而其余变量,即市场增加值、资产回报率、股本回报率和经济增加值对预测股东回报率未来值的贡献率分别约为 35.96%、14.06%、4.08% 和 0.51%。这证实了变量之间从短期到长期的关系。此外,FMOL 和 DOL 的结果显示,所有会计变量和 VBM 都是评估公司业绩的良好方法,因为 ROA、ROE 和 EVA 的实证结果显示了正向的显著关系。这证实,由于会计变量和 VBM 变量共同与股东回报相关,因此将这两个变量结合起来会产生更好的评估结果。本研究可为公司管理层和董事会提供指导,帮助他们更好地评估公司业绩。因此,建议管理者选择适合其运营的会计变量和 VBM 变量组合,并将其共同应用于公司业绩评估。这将有助于提供多样化决策所需的相对和增量绩效信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.50
自引率
0.00%
发文量
512
审稿时长
11 weeks
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