Predicting next day direction of stock price movement using machine learning methods with persistent homology: Evidence from Kuala Lumpur Stock Exchange-Reference-Cited by-同舟云学术

Predicting next day direction of stock price movement using machine learning methods with persistent homology: Evidence from Kuala Lumpur Stock Exchange

Published:2020-08 Issue: Volume:93 Page:106422
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Ismail Mohd Sabri^ORCID,Md Noorani Mohd Salmi,Ismail Munira,Abdul Razak Fatimah,Alias Mohd Almie

Funder

Universiti Kebangsaan Malaysia

Centre for Research and Instrumentation

Publisher

Elsevier BV

Subject

Software

Reference72 articles.

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