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Soft Computing

, Volume 23, Issue 4, pp 1165–1177 | Cite as

Mining stock category association on Tehran stock market

  • Zahra Hoseyni MasumEmail author
Methodologies and Application
  • 76 Downloads

Abstract

Following the recent efforts made to achieve a predictable capital market, this study attempted to explore the interlocking relationships between the stock returns of companies listed on Tehran stock exchange (TSE). For that purpose, data concerning 36 industry classes between 2000 and 2013 were examined through clustering and association rule. Preparation and initial refining of data suggested that only 25 out of 36 industries met the requirement for 13-year membership at TSE. Finally, a total of 249,061 records were evaluated, and the results were presented in the form of several rules and recommendations for investors. The results suggested that there were no two-item rules (rules with one antecedent) within industries. The best rules entailed three and four items with a lift of more than two, confidence more than 81% and support more than 1%.

Keywords

Association rule Clustering Stock return 

Notes

Acknowledgements

Funding was provided by Payame Noor University (Grant No. 12345678).

Compliance with ethical standards

Conflict of interest

I have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Department of industrial managementPayame Noor UniversityTehranIslamic Republic of Iran

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