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This study aims to cluster 42 firms of the food, textile and cement industry, listed in the Instanbul Stock Exchange by using financial ratios. Ten financial ratios employed in the clustering were obtained through the yearend financial statements of the firms. The financial statements are taken from the internet sites of the Istanbul Stock Exchange and Public Disclosure Platform. The average of the values of the financial ratios belonging to the years 2006-2011 were used as the data of the analysis. As a result of the cluster analysis, the first, second and third clusters consist of 5, 19, 18 firms respectively. Statistically significant ratios were identified in the composition of groups through cluster analysis. Price-earnings ratio and the Net Working Capital Turnover ratio were determined as the significant ratios in partitioning of the firms into 3 clusters. Discriminant analysis were used to test whether the firms were partitioned correctly. The assumptions that are required for using the multivariate analysis were tested before the application of discriminant analysis to the data. The discriminant analysis was applied to the 5 of the 10 ratios that meet the assumptions. Price-earnings and Net Working Capital Turnover ratios which were found to be significant in the cluster analysis seemed to be significant in the discriminant analysis as well. The correct classification ratio, indicating whether firms were classified into correct groups was 100%.
this study correct to cluster 42 vehicles of the food textile and cement industry is listed in the istanbul stock exchange by using financial ratios employ in the clustering were replaced by the yearend financial statements of the connection of the financial statements of the financial statements are taken from the internet sites of the decentralized exchange and public arbitrary platform the average of the values of the financial rate of the years of 20062011 were used as the data of the analysis before a result of the cluster analysis of the first second and third clusters consisting of the data to a result of the implementation of a result of the implementation of a result of the implementation of a result of the implementation of the key role of the performance of the implementation of the implementation of the implementation of the implementation of the key selection of the implementation of a set of the implementation of the implementation of the implementation of the key role of the implementation of the implementation of the key role of the implementation of the implementation of the implementation of a set of the implementation of a set of the implementation of the implementation of the implementation of the implementation of the implementation of the key selection of the implementation of the implementation of the key role of the implementation of the implementation of the implementation of the implementation of the key role of the list of the implementation of the
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