Industrial sickness in India – An empirical analysis

Industrial sickness in India – An empirical analysis

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In addressing the core issue of the probability of a company becoming sick in the future and developing predictive models of financial health, this article first classifies Indian industries into two groups – good performing and bad performing – on the basis of ASI data. This classification is based...

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Main Author: Dilip Kumar Datta
Format: Article
Language:English
Published: Elsevier 2013-06-01
Series:IIMB Management Review
Subjects:
Convergence and divergence analysis
Rank analysis
Scatter plot analysis
Cluster analysis
Centroids
Adjusted R square
Discriminant score
Canonical correlation
Online Access:http://www.sciencedirect.com/science/article/pii/S0970389613000190
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spelling doaj-f1b77465e99e4e94abaceaccb25d6a852020-11-24T22:02:06ZengElsevierIIMB Management Review0970-38962013-06-0125210411410.1016/j.iimb.2013.02.003Industrial sickness in India – An empirical analysisDilip Kumar Datta0Sayantan Consultants Pvt. Ltd, Kolkata, IndiaIn addressing the core issue of the probability of a company becoming sick in the future and developing predictive models of financial health, this article first classifies Indian industries into two groups – good performing and bad performing – on the basis of ASI data. This classification is based on broadly accepted economic indicators which are translated into corresponding financial ratios. Balance sheet data of 100 companies, evenly drawn from the two groups, is then analysed and the future financial health of these companies is predicted on the basis of a logit model.http://www.sciencedirect.com/science/article/pii/S0970389613000190Convergence and divergence analysisRank analysisScatter plot analysisCluster analysisCentroidsAdjusted R squareDiscriminant scoreCanonical correlation
collection DOAJ
language English
format Article
sources DOAJ
author Dilip Kumar Datta
spellingShingle Dilip Kumar Datta
Industrial sickness in India – An empirical analysis
IIMB Management Review
Convergence and divergence analysis
Rank analysis
Scatter plot analysis
Cluster analysis
Centroids
Adjusted R square
Discriminant score
Canonical correlation
author_facet Dilip Kumar Datta
author_sort Dilip Kumar Datta
title Industrial sickness in India – An empirical analysis
title_short Industrial sickness in India – An empirical analysis
title_full Industrial sickness in India – An empirical analysis
title_fullStr Industrial sickness in India – An empirical analysis
title_full_unstemmed Industrial sickness in India – An empirical analysis
title_sort industrial sickness in india – an empirical analysis
publisher Elsevier
series IIMB Management Review
issn 0970-3896
publishDate 2013-06-01
description In addressing the core issue of the probability of a company becoming sick in the future and developing predictive models of financial health, this article first classifies Indian industries into two groups – good performing and bad performing – on the basis of ASI data. This classification is based on broadly accepted economic indicators which are translated into corresponding financial ratios. Balance sheet data of 100 companies, evenly drawn from the two groups, is then analysed and the future financial health of these companies is predicted on the basis of a logit model.
topic Convergence and divergence analysis
Rank analysis
Scatter plot analysis
Cluster analysis
Centroids
Adjusted R square
Discriminant score
Canonical correlation
url http://www.sciencedirect.com/science/article/pii/S0970389613000190
work_keys_str_mv AT dilipkumardatta industrialsicknessinindiaanempiricalanalysis
_version_ 1725837023440273408

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