
doi: 10.2139/ssrn.1961087
El aumento del valor de la empresa en un periodo viene determinado fundamentalmente por los cambios de las expectativas de crecimiento de los flujos de la empresa y tambien por los cambios en la apreciacion del riesgo de los mismos que se traducen en variaciones en la tasa de descuento. Por otro lado, la contabilidad unicamente refleja la historia de la empresa. Tanto los parametros de la cuenta de resultados, que explican lo que ha sucedido en un ano determinado, como los del balance que reflejan la situacion patrimonial en un momento determinado del tiempo, son datos historicos. Por consiguiente, es imposible que medidas basadas en la contabilidad, como son el EVA, el beneficio economico, el cash value added…, puedan medir la creacion de valor. La verificacion cuantitativa de esta afirmacion es sencilla: basta analizar la relacion que guarda la creacion de valor para los accionistas, o el aumento de valor para los accionistas con el EVA, el beneficio economico y el cash value added. We analyze 582 American companies using EVA, MVA, NOPAT and WACC data provided by Stern Stewart. For each of the 582 companies, we have calculated the 10-year correlation between the increase in the MVA (Market Value Added) each year and each year's EVA, NOPAT and WACC. For 296 (of the 582) companies, the correlation between the increase in the MVA each year and the NOPAT was greater than the correlation between the increase in the MVA ach year and the EVA. There are 210 companies for which the correlation with the EVA has been negative! The average correlation between the increase in the MVA and EVA, NOPAT and WACC was 16%, 21% and -21.4%. The average correlation between the increase in the MVA and the increases of EVA, NOPAT and WACC was 18%, 22.5% and -4.1%.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
