经济增值(EVA)的神话与现实:来自印度制造业的证据

Jasvir S. Sura, Rajender Panchal, Anju Lather
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引用次数: 2

摘要

本文的主要目的是研究经济增加值(EVA)主张其优于传统的基于会计的财务绩效指标,即税后利润(PAT),每股收益(EPS),资产回报率(ROA),股本回报率(ROE)和投资回报率(ROI)在印度制造业的主张,同时,给出实证事实。它还测试和检验各种绩效指标的信息内容及其与股票回报的关系。本文使用了2000-2018年期间孟买证券交易所(BSE)的534家印度制造业公司的样本。运用多元回归模型检验EVA与传统绩效指标在解释股东回报中的信息含量。研究结果:相关信息含量检验表明,传统的基于会计的指标,如每股收益、净资产收益率和总资产收益率在解释印度制造业公司的回报方面优于EVA。EVA增量信息含量对传统绩效指标中信息含量的贡献不大。在与股东回报相关的经济增加值优于基于会计的措施的说法,在印度制造企业中被证明是无效的。原创性/价值本研究的结论是,EVA在解释印度制造业公司的股票收益方面并不优于传统的基于会计的财务绩效指标。为了实现结果的重性,面板数据采用Breusch-Pagan-Godfrey (BPG)检验检验异方差性,Hausman检验固定和随机效应,方差膨胀因子(VIF)检验多重共线性和Durbin-Watson检验自相关。
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Economic value-added (EVA) myths and realities: evidence from the Indian manufacturing sector
PurposeThe main aim of this paper is to examine the claim that economic value added (EVA) advocates its superiority over the traditional accounting-based financial performance measures, i.e. profit after tax (PAT), earnings per share (EPS), return on assets (ROA), return on equity (ROE) and return on investment (ROI) in the Indian manufacturing sector and at the same time, give empirical facts. It also tests and examines the information content of various performance measures and their relationship with stock returns.Design/methodology/approachThe paper uses the sample of 534 Indian manufacturing companies from the Bombay Stock Exchange (BSE) during the period 2000–2018. Multiple regression models are applied to examine the information content of EVA and traditional performance measures in explaining shareholders’ returns.FindingsRelative information content tests revealed that traditional accounting-based measures such as EPS, ROE and ROA performed better than EVA in explaining the returns of Indian manufacturing companies. Incremental information content of EVA adds little contribution to information content above traditional performance measures. The claim of superiority of EVA over accounting-based measures in association with shareholder returns is proved invalid in Indian manufacturing companies.Originality/valueThis study concludes that EVA has no superiority over traditional accounting-based financial performance measures in explaining stock returns of Indian manufacturing companies. To achieve heftiness in outcomes, panel data are tested by using Breusch–Pagan–Godfrey (BPG) test for heteroskedasticity, Hausman’s test for fixed and random effect, variance inflation factor (VIF) test for multicollinearity and Durbin–Watson test for autocorrelation.
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