Forecasting stock price in Healthcare sector by using Geometric Brownian Motion model / Muhammad Afiq Mukhriz Shahruzain, Muhammad Nur Hazwan Zulfemi and Puteri Nurul Atiqah Muhamad Nor

This study suggests using Geometric Brownian Motion (GBM) model to forecast closing prices for 10 stocks in Healthcare sector in Bursa Malaysia. The forecasted close prices can be used as a reference for investors to make their investments. Investments is a process of investing money for profit. How...

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Main Authors: Shahruzain, Muhammad Afiq Mukhriz, Zulfemi, Muhammad Nur Hazwan, Muhamad Nor, Puteri Nurul Atiqah
Format: Student Project
Language:English
Published: 2023
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Online Access:https://ir.uitm.edu.my/id/eprint/83535/1/83535.pdf
https://ir.uitm.edu.my/id/eprint/83535/
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spelling my.uitm.ir.835352023-09-14T04:58:38Z https://ir.uitm.edu.my/id/eprint/83535/ Forecasting stock price in Healthcare sector by using Geometric Brownian Motion model / Muhammad Afiq Mukhriz Shahruzain, Muhammad Nur Hazwan Zulfemi and Puteri Nurul Atiqah Muhamad Nor Shahruzain, Muhammad Afiq Mukhriz Zulfemi, Muhammad Nur Hazwan Muhamad Nor, Puteri Nurul Atiqah Mathematical statistics. Probabilities This study suggests using Geometric Brownian Motion (GBM) model to forecast closing prices for 10 stocks in Healthcare sector in Bursa Malaysia. The forecasted close prices can be used as a reference for investors to make their investments. Investments is a process of investing money for profit. However, selecting the right stock to invest in can be challenging, and the lack of certainty surrounding stock prices can reduce investor trust. Thus, forecasting future stock prices is so crucial. Since all investors want to make profit quickly, the duration of this study are 2 weeks forecast and 4 weeks forecast only. In this study, GBM model which consists of rate of return, drift and volatility are used to forecast the future stock price. The result shows that GBM model able to forecast accurately as early as 2 weeks of investment by using Mean Absolute Percentage Error (MAPE) and percentage increment of stock price. Moreover, this study also shows that KOSSAN is the best stock by using relationship measurement, Sharpe’s and Treynor’s index. These methods are used to gauge the relationship and performance of the stock price with the FBMKLCI index. 2023 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/83535/1/83535.pdf Forecasting stock price in Healthcare sector by using Geometric Brownian Motion model / Muhammad Afiq Mukhriz Shahruzain, Muhammad Nur Hazwan Zulfemi and Puteri Nurul Atiqah Muhamad Nor. (2023) [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Mathematical statistics. Probabilities
spellingShingle Mathematical statistics. Probabilities
Shahruzain, Muhammad Afiq Mukhriz
Zulfemi, Muhammad Nur Hazwan
Muhamad Nor, Puteri Nurul Atiqah
Forecasting stock price in Healthcare sector by using Geometric Brownian Motion model / Muhammad Afiq Mukhriz Shahruzain, Muhammad Nur Hazwan Zulfemi and Puteri Nurul Atiqah Muhamad Nor
description This study suggests using Geometric Brownian Motion (GBM) model to forecast closing prices for 10 stocks in Healthcare sector in Bursa Malaysia. The forecasted close prices can be used as a reference for investors to make their investments. Investments is a process of investing money for profit. However, selecting the right stock to invest in can be challenging, and the lack of certainty surrounding stock prices can reduce investor trust. Thus, forecasting future stock prices is so crucial. Since all investors want to make profit quickly, the duration of this study are 2 weeks forecast and 4 weeks forecast only. In this study, GBM model which consists of rate of return, drift and volatility are used to forecast the future stock price. The result shows that GBM model able to forecast accurately as early as 2 weeks of investment by using Mean Absolute Percentage Error (MAPE) and percentage increment of stock price. Moreover, this study also shows that KOSSAN is the best stock by using relationship measurement, Sharpe’s and Treynor’s index. These methods are used to gauge the relationship and performance of the stock price with the FBMKLCI index.
format Student Project
author Shahruzain, Muhammad Afiq Mukhriz
Zulfemi, Muhammad Nur Hazwan
Muhamad Nor, Puteri Nurul Atiqah
author_facet Shahruzain, Muhammad Afiq Mukhriz
Zulfemi, Muhammad Nur Hazwan
Muhamad Nor, Puteri Nurul Atiqah
author_sort Shahruzain, Muhammad Afiq Mukhriz
title Forecasting stock price in Healthcare sector by using Geometric Brownian Motion model / Muhammad Afiq Mukhriz Shahruzain, Muhammad Nur Hazwan Zulfemi and Puteri Nurul Atiqah Muhamad Nor
title_short Forecasting stock price in Healthcare sector by using Geometric Brownian Motion model / Muhammad Afiq Mukhriz Shahruzain, Muhammad Nur Hazwan Zulfemi and Puteri Nurul Atiqah Muhamad Nor
title_full Forecasting stock price in Healthcare sector by using Geometric Brownian Motion model / Muhammad Afiq Mukhriz Shahruzain, Muhammad Nur Hazwan Zulfemi and Puteri Nurul Atiqah Muhamad Nor
title_fullStr Forecasting stock price in Healthcare sector by using Geometric Brownian Motion model / Muhammad Afiq Mukhriz Shahruzain, Muhammad Nur Hazwan Zulfemi and Puteri Nurul Atiqah Muhamad Nor
title_full_unstemmed Forecasting stock price in Healthcare sector by using Geometric Brownian Motion model / Muhammad Afiq Mukhriz Shahruzain, Muhammad Nur Hazwan Zulfemi and Puteri Nurul Atiqah Muhamad Nor
title_sort forecasting stock price in healthcare sector by using geometric brownian motion model / muhammad afiq mukhriz shahruzain, muhammad nur hazwan zulfemi and puteri nurul atiqah muhamad nor
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/83535/1/83535.pdf
https://ir.uitm.edu.my/id/eprint/83535/
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