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18-09-2017 | Methodologies and Application

Mining stock category association on Tehran stock market

Author: Zahra Hoseyni Masum

Published in: Soft Computing | Issue 4/2019

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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%.

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Title: Mining stock category association on Tehran stock market
Author: Zahra Hoseyni Masum
Publication date: 18-09-2017
Publisher: Springer Berlin Heidelberg
Published in: Soft Computing / Issue 4/2019
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-017-2835-9

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