EconPapers    
Economics at your fingertips  
 

Prediction of Shareholders’ Wealth: A Quantitative Analysis

Shurveer S Bhanawat and D S Chundawat

The IUP Journal of Accounting Research and Audit Practices, 2012, vol. XI, issue 3, 7-16

Abstract: Shareholders’ wealth has become an important concept among investors in the globalized economy. Investors who have a variety of options will be interested in evaluating the performance of corporate sector in terms of shareholders’ wealth before making any investments. Shareholders’ wealth is measured in terms of Economic Value-Added (EVA). The present study attempts to analyze the relationship between shareholders’ wealth, i.e., EVA and different financial performance variables, on the one hand, and construct a multiple regression model for determining shareholders’ wealth, on the other. Dividend, IC and NW not only have a highly positive correlation coefficient with EVA, but the correlation coefficients are also significant, as is evident from the probable error-based test of significance. In order to examine whether the developed multiple regression model is reliable or not, Z-test for two sample means is administered. The result clearly indicates that the visible difference in the two mean values is only due to sampling fluctuations and not due to any major reason. Hence, the model developed in the paper can be used to predict EVA.

Date: 2012
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:icf:icfjar:v:11:y:2012:i:3:p:7-16

Access Statistics for this article

More articles in The IUP Journal of Accounting Research and Audit Practices from IUP Publications
Bibliographic data for series maintained by G R K Murty ().

 
Page updated 2025-03-19
Handle: RePEc:icf:icfjar:v:11:y:2012:i:3:p:7-16