Imam Mukhlash, Mohammad Iqbal, Maya Nurlita Wulandari, Andi Asrafiani Arafah
This study presents a fuzzy time interval of fuzzy stock price co-movement pattern, so-called FTI-FSPCM pattern. The FTI-FSPCM is a subsequence which frequently occurs on the historical stock price sequences and comprises fuzzy stock price movement types with fuzzy time intervals. To mine the FTI-FSPCM patterns, we employ FP-GROWTH PREFIX-SPAN algorithm by focusing on stock price discretization based on the fuzzy-linguistic terms. More specifically, the discretization combines the fuzzy return types and the fuzzy time intervals. This study aims to build an investment portfolio for the investor based on the FTI-FSPCM patterns in general, for each company and inter-companies. The experimental results showed that FTI-FSPCM patterns interpret the movements of stock price trends. Furthermore, the FTI-FSPCM patterns can be used as investment decision supports. © 2019, ICIC International.
Department of Mathematis, Institut Teknologi Sepuluh Nopember, Sukolilo, Surabaya, 60111, East Java, Indonesia; Department of Computer Siene and Information Engineering National Taiwan University of Siene and Tehnology, No. 43, Keelung Rd., Se. 4, Da’an Dist., Taipei, 10607, Taiwan; Faulty of Sport Siene, Universitas Negeri Makassar, Jl. A. P. Pettarani, Tidung, Rappoini, Makassar, 90222, South Sulawesi, Indonesia
Research at a Glance
Register to unlock
Topics & SDG Alignment
Register to unlock
Collaboration
Register to unlock
Author Profile (Selected)
Register to unlock
References Overview
Register to unlock
Journal & Source
Register to unlock
Metadata & Integrity
Register to unlock