- Tytuł:
- Mining Associations on the Warsaw Stock Exchange
- Autorzy:
-
Karpio, K.
Łukasiewicz, P.
Orłowski, A.
Ząbkowski, T. - Powiązania:
- https://bibliotekanauki.pl/articles/1400174.pdf
- Data publikacji:
- 2013-03
- Wydawca:
- Polska Akademia Nauk. Instytut Fizyki PAN
- Tematy:
-
89.65.Gh
07.05.Kf
07.05.Rm - Opis:
- 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.
- Źródło:
-
Acta Physica Polonica A; 2013, 123, 3; 553-559
0587-4246
1898-794X - Pojawia się w:
- Acta Physica Polonica A
- Dostawca treści:
- Biblioteka Nauki
Artykuł