Using Grey Relational Analysis to Determine the Financial Performance of Turkish Football Clubs
Ilker Sakinc
No 802246, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences
Abstract:
Football has become an important industry in the Turkey. A huge amount of sponsoring, advertising, betting funds into football and also television rights are sold for billions of Turkish Liras. In order to compete better in Turkish league, football clubs have done considerable investments and have aspired to be listed on the stock exchange. The pioneer was Be?ikta? that went public in 2002. After that three football clubs were listed on Borsa Istanbul (BIST). The aim of this study is to evaluate the financial performance of four big (Be?ikta?, Fenerbahçe, Galatasaray and Trabzonspor) football clubs listed on BIST from 2009-2010 to 2012-2013. In order to evaluate these clubs, Grey Relational Analysis (GRA) is used. GRA is widely used in various disciplines such as economics, engineering, sociology and finance. It can be used as a rating, classification and decision making technique to determine the important factors among those required for a system with a limited amount of data set.
Keywords: Grey Relational Analysis; Financial Performance; Turkish Football Clubs; BIST. (search for similar items in EconPapers)
JEL-codes: G14 L83 (search for similar items in EconPapers)
Pages: 13 pages
Date: 2014-10
New Economics Papers: this item is included in nep-ara, nep-cwa and nep-spo
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Published in Proceedings of the Proceedings of the 13th International Academic Conference, Antibes, Oct 2014, pages 509-521
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https://iises.net/proceedings/13th-international-a ... d=8&iid=066&rid=2246 First version, 2014
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Journal Article: Using Grey Relational Analysis to Determine the Financial Performance of Turkish Football Clubs (2014) 
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Persistent link: https://EconPapers.repec.org/RePEc:sek:iacpro:0802246
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