Heteroscedasticity effects as component to future stock market predictions using RNNbased models

Heteroscedasticity effects are useful for forecasting future stock return volatility. Stock volatility forecasting provides business insight into the stock market, making it valuable information for investors and traders. Predicting stock volatility is a crucial task and challenging. This study prop...

Full description

Saved in:
Bibliographic Details
Main Authors: Sadon, Aida Nabilah, Ismail, Shuhaida, Khamis, Azme, Tariq, Muhammad Usman
Format: Article
Language:en
Published: Plos One 2024
Subjects:
Online Access:http://eprints.uthm.edu.my/12363/1/J17815_074af7388a9327ccc9bec60f08812ab4.pdf
http://eprints.uthm.edu.my/12363/
https://doi.org/10.1371/journal.pone.0297641
Tags: Add Tag
No Tags, Be the first to tag this record!