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2013 | 123 | 3 | 553-559
Article title

Mining Associations on the Warsaw Stock Exchange

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EN
Abstracts
EN
Identification of patterns in stock markets has been an important subject for many years. In the past, numerous techniques, both technical and econometric, were used to predict changes in stock markets, but dependences among all the companies listed on a stock market were considered in a limited extent. Numerous studies confirm that larger stocks items appear to influence smaller ones and that, on a global level, most of the world's stock markets are integrated. Therefore, this study implements the association rules using a data mining approach to explore the co-movement between stock items listed on the Warsaw Stock Exchange. We believe that in order to describe and to understand market's behavior, data mining techniques are more flexible in use than for instance pricing models based on a finance theory. The former seems to be more effective for explaining market behavior without making particular assumptions.
Keywords
EN
Year
Volume
123
Issue
3
Pages
553-559
Physical description
Dates
published
2013-03
References
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Document Type
Publication order reference
YADDA identifier
bwmeta1.element.bwnjournal-article-appv123n312kz
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