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International Journal <strong>of</strong> <strong>Contemporary</strong> <strong>Business</strong> <strong>Studies</strong><br />

Vol: 3, No: 1. January, 2012 ISSN 2156-7506<br />

Available online at http://www.akpinsight.webs.com<br />

Correlation Between HDFC Bank EVA & HDFC Bank Share Price -0.61<br />

Correlation Between ICICI Bank EVA & ICICI Bank Share Price -0.17<br />

Correlation between ING Vyasya Bank EVA & ING Vyasya bank Share price -0.32<br />

Correlation Between Indusland Bank EVA & Indulsand Bank Share Price -0.41<br />

Correlation Between Karnataka Bank EVA & Karnataka Bank Share Price -0.29<br />

Correlation Between Kotak Mahindra Bank EVA & Kotak Mahindra Bank Share Price 0.02<br />

The correlation between EVA and stock price for Kotak is 0.02995 which is somewhat positive and<br />

negative <strong>of</strong> the Axis, HDFC, ICICI, ING Vyasya, Indulsand, Karnataka Banks have to between EVA and<br />

Market Value. Correlation between EVA and Market Value has showed too negative HDFC bank.<br />

Negative correlation show one variable is upside and second variable downsides visa a versa and positive<br />

correlation show two variables in upside or downside visa a versa.<br />

TABLE 9: Coefficient <strong>of</strong> Determination<br />

Banks Coefficient <strong>of</strong> Determination<br />

Axis bank 0.071685<br />

HDFC bank 0.374525<br />

ICICI bank 0.031106<br />

ING Vyasya bank 0.102826<br />

Among all banks, Induslnd bank 0.173659<br />

HDFC bank has<br />

highest coefficient <strong>of</strong> Karnataka bank 0.085797<br />

determination. A<br />

coefficient <strong>of</strong><br />

Kotak Mahindra bank 0.000897<br />

determination equal to<br />

0.37452 indicates that about 37.45% <strong>of</strong> the variation in Stock price <strong>of</strong> HDFC bank (the independent<br />

variable) can be explained by the relationship to EVA <strong>of</strong> HDFC bank (the dependent variable) which can<br />

be considered a Good fit to the data. Again for Indusind bank, a coefficient <strong>of</strong> determination equal to<br />

0.17365 indicates that about 17.37% <strong>of</strong> the variation in Stock price <strong>of</strong> Indulsand (the independent<br />

variable) can be explained by the relationship to EVA <strong>of</strong> Indulsand (the dependent variable), which can<br />

be considered a Moderate fit to the data. For Kotak Mahindra bank, ICICI bank, ING Vyasya bank, Axis<br />

bank and Karnataka bank the coefficient <strong>of</strong> determination is lower. It indicates that variation in Stock<br />

price <strong>of</strong> Particular bank (the independent variable) can be explained by the relationship to EVA <strong>of</strong><br />

respective bank (the dependent variable) which can be considered a bad fit to the data.<br />

Hypothesis Testing<br />

The hypotheses were studied using ANOVA. The p-value <strong>of</strong> ANOVA for Axis bank, HDFC Bank, ICICI<br />

Bank, ING Vyasya bank, IndusInd bank and Karnataka bank is 0.607, 0.197, 0.738, 0.535, 0.411 and<br />

0.573 respectively. All p-value <strong>of</strong> ANOVAs is greater than 0.05, except Kotak Mahindra bank, which<br />

enhances that none <strong>of</strong> bank, has significant impact <strong>of</strong> EVA over their Stock Price. The p-value <strong>of</strong><br />

ANOVA for Kotak Mahindra bank is 0.025, which is lesser then 0.05. It further enhances that EVA by<br />

Kotak Mahindra bank did have significant impact on Stock price <strong>of</strong> Kotak Mahindra bank.<br />

CONCLUSION<br />

32<br />

Copyright © 2012. <strong>Academy</strong> <strong>of</strong> <strong>Knowledge</strong> <strong>Process</strong>

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