In the face of uncertainty and dynamic banking environment and the impact of a large number of external and internal factors on commercial banks, banks are interested in choosing the most appropriate banking strategies, which allowed achieving their goals at the least cost and potential losses. The traditionally used technique of multivariate cluster analysis enables the efficient cluster modeling only in statics but not in dynamics. Moreover, in the conditions of the unstable economy of the developing countries like Kazakhstan this technique gives incorrect results. To address these shortcomings, the authors have developed a new technique of dynamic multi-dimensional cluster analysis, which are free of these shortcomings. In the study, authors investigated the strategic behavior of banks in Kazakhstan for 2009-2015, using this technique. The study helps to shed some light on the formation of the banks development strategies in Kazakhstan. The technique of dynamic multi-dimensional cluster analysis proposed by the authors is especially useful to professionals in the field of banking strategies or other persons, who is interesting in the development prospects of banking sector.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the face of uncertainty and dynamic banking environment and the impact of a large number of external and internal factors on commercial banks, banks are interested in choosing the most appropriate banking strategies, which allowed achieving their goals at the least cost and potential losses. The traditionally used technique of multivariate cluster analysis enables the efficient cluster modeling only in statics but not in dynamics. Moreover, in the conditions of the unstable economy of the developing countries like Kazakhstan this technique gives incorrect results. To address these shortcomings, the authors have developed a new technique of dynamic multi-dimensional cluster analysis, which are free of these shortcomings. In the study, authors investigated the strategic behavior of banks in Kazakhstan for 2009-2015, using this technique. The study helps to shed some light on the formation of the banks development strategies in Kazakhstan. The technique of dynamic multi-dimensional cluster analysis proposed by the authors is especially useful to professionals in the field of banking strategies or other persons, who is interesting in the development prospects of banking sector. 52 pp. Englisch. N° de réf. du vendeur 9783330034334
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. N° de réf. du vendeur 3330034335
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nurseiit NurlanNurlan Nurseiit is the Doctor of Economic Sciences, which he received from the Institute of Economics of the Academy of Sciences of Kazakhstan in 2006. He is an Associate Professor of the Department of Economics and Fi. N° de réf. du vendeur 151234021
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the face of uncertainty and dynamic banking environment and the impact of a large number of external and internal factors on commercial banks, banks are interested in choosing the most appropriate banking strategies, which allowed achieving their goals at the least cost and potential losses. The traditionally used technique of multivariate cluster analysis enables the efficient cluster modeling only in statics but not in dynamics. Moreover, in the conditions of the unstable economy of the developing countries like Kazakhstan this technique gives incorrect results. To address these shortcomings, the authors have developed a new technique of dynamic multi-dimensional cluster analysis, which are free of these shortcomings. In the study, authors investigated the strategic behavior of banks in Kazakhstan for 2009-2015, using this technique. The study helps to shed some light on the formation of the banks development strategies in Kazakhstan. The technique of dynamic multi-dimensional cluster analysis proposed by the authors is especially useful to professionals in the field of banking strategies or other persons, who is interesting in the development prospects of banking sector.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. N° de réf. du vendeur 9783330034334
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the face of uncertainty and dynamic banking environment and the impact of a large number of external and internal factors on commercial banks, banks are interested in choosing the most appropriate banking strategies, which allowed achieving their goals at the least cost and potential losses. The traditionally used technique of multivariate cluster analysis enables the efficient cluster modeling only in statics but not in dynamics. Moreover, in the conditions of the unstable economy of the developing countries like Kazakhstan this technique gives incorrect results. To address these shortcomings, the authors have developed a new technique of dynamic multi-dimensional cluster analysis, which are free of these shortcomings. In the study, authors investigated the strategic behavior of banks in Kazakhstan for 2009-2015, using this technique. The study helps to shed some light on the formation of the banks development strategies in Kazakhstan. The technique of dynamic multi-dimensional cluster analysis proposed by the authors is especially useful to professionals in the field of banking strategies or other persons, who is interesting in the development prospects of banking sector. N° de réf. du vendeur 9783330034334
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