Work

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

Year: 2020

Type: article

Source: Applied Soft Computing

DOI: 10.1016/j.asoc.2020.106422

Authors: Mohd Sabri Ismail, Mohd Salmi Md Noorani, Munira Ismail, Fatimah Abdul Razak, Mohd Almie Alias

Institution: National University of Malaysia

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

Funder: Universiti Kebangsaan Malaysia

OpenAlex ID: W3031664953

FWCI: 6.679

Cites: 74

Cited by: 74

Related to: 10