Izvorni znanstveni članak

https://doi.org/10.1080/1331677X.2014.970451

Analysis of investors’ preferences in the Montenegro stock market using data mining techniques

Ljiljana Kašćelan orcid.org/0000-0001-9831-7599
Vladimir Kašćelan orcid.org/0000-0001-8763-7108
Miomir Jovanović

Sažetak

This article analyses the preferences of different types of investors to stock characteristics in the Montenegrin stock market. The majority of papers deal with stock portfolio analysis of the institutional investors. Since the number of individual investors in the Montenegrin market is much higher, the analysis of their trading behaviour is also very significant. In this article, using data mining techniques, we tested trading behaviour with stocks for both types of investors. We prove that data mining techniques, such as logistic regression, clustering and ecision trees, provide good results in this type of analysis. The analysis may be useful to the future investors, brokers and stock exchange.

Ključne riječi

stock trading preferences; stock characteristics; investor features; logistic regression; decision trees

Hrčak ID:

171339

URI

https://hrcak.srce.hr/171339

Datum izdavanja:

20.12.2014.

Posjeta: 860 *