Stock market forecasting using Geometric Brownian Motion by applying the best volatility measurement / Farah Syahida Fauzi, Sabihah Maisarah Sahrudin and Nur Asyikin Abdullah

Investing in stocks Malaysia can be overwhelming due to the abundance of possibilities, necessitating informed decision-making to navigate the volatile market. This study addresses a common problem faced by investor venturing into the stock market, where instability and fluctuations pose risks and l...

Full description

Saved in:
Bibliographic Details
Main Authors: Fauzi, Farah Syahida, Sahrudin, Sabihah Maisarah, Abdullah, Nur Asyikin
Format: Student Project
Language:English
Published: 2024
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/95031/1/95031.pdf
https://ir.uitm.edu.my/id/eprint/95031/
Tags: Add Tag
No Tags, Be the first to tag this record!