Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/3046
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dc.contributor.authorPal, Shrabanti
dc.contributor.authorBhattacharya, Mahua
dc.date.accessioned2021-08-27T07:40:44Z-
dc.date.available2021-08-27T07:40:44Z-
dc.date.issued2013-11
dc.identifier.issn0304-0941 (print version) ; 2197-1722 (electronic version)
dc.identifier.urihttps://doi.org/10.1007/s40622-013-0009-x
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/3046-
dc.descriptionShrabanti Pal & Mahua Bhattacharya, Department of Business Management, University of Calcutta, Kolkata, India
dc.descriptionp.47-55
dc.descriptionIssue Editor – Bhaskar Chakrabarti, IIM Calcutta, Kolkata, India
dc.description.abstractThe preset study is an attempt to measure the influence of different financial ratios selected from different categories like liquidity, activity, and leverage on the profitability of the selected companies. For the purpose of the study, three main producers of steel in India—Steel Authority of India, Rashtriya Ispat Nigam Limited and Tata Steel Limited—are selected for a period of 20 years. Initially, the factor analysis is conducted on all the 15 selected ratios and on the basis of inter correlation matrix the variables (financial ratios) which have the correlation coefficient less than ±6 are excluded from the study. The factor analysis is again conducted on the remaining variables and two factors are extracted. The extracted factors are named suitably. To validate those factors cluster analysis is conducted. Afterwards, to estimate the impact of selected variables on the profitability multiple regression analysis is carried on and a model is predicted for such purpose.
dc.publisherIndian Institutte of Management Calcutta, Kolkata
dc.publisherIndian Institute of Management Calcutta, Kolkata
dc.relation.ispartofseriesVol.40;No.1-2
dc.subjectFinancial ratios
dc.subjectFactor analysis
dc.subjectCluster analysis
dc.subjectMultiple regression analysis
dc.titleAn empirical study on the financial health of the main steel producing segment in India: application of factor analysis and multiple regression analysis
dc.typeArticle
Appears in Collections:Issue 1 & 2, June-September 2013

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