A comparison between least squared method, modified Euler’s method and Runge-Kutta- Fehlberg in predicting the stock market price for Petronas Gas Bhd / Muhammad Nazmi Firdaus Niel Maarse

This research will explain about whether the stock market price can be predicted using Least Squared method, Runge-Kutta-Fehlberg and Modified Euler method. The data will be collected by observing the stock market price in the month of February. The calculations will be done by using the MAPLE softw...

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Main Author: Niel Maarse, Muhammad Nazmi Firdaus
Format: Thesis
Language:English
Published: 2023
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/97156/1/97156.pdf
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spelling my-uitm-ir.971562024-06-24T16:50:16Z A comparison between least squared method, modified Euler’s method and Runge-Kutta- Fehlberg in predicting the stock market price for Petronas Gas Bhd / Muhammad Nazmi Firdaus Niel Maarse 2023 Niel Maarse, Muhammad Nazmi Firdaus Differential equations. Runge-Kutta formulas This research will explain about whether the stock market price can be predicted using Least Squared method, Runge-Kutta-Fehlberg and Modified Euler method. The data will be collected by observing the stock market price in the month of February. The calculations will be done by using the MAPLE software. From the calculation and also after calculating the Mean Absolute Error of all the methods, the best method to predict the stock market price is the Modified Euler method. 2023 Thesis https://ir.uitm.edu.my/id/eprint/97156/ https://ir.uitm.edu.my/id/eprint/97156/1/97156.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Embong, Muhammad Fauzi
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Embong, Muhammad Fauzi
topic Differential equations
Runge-Kutta formulas
spellingShingle Differential equations
Runge-Kutta formulas
Niel Maarse, Muhammad Nazmi Firdaus
A comparison between least squared method, modified Euler’s method and Runge-Kutta- Fehlberg in predicting the stock market price for Petronas Gas Bhd / Muhammad Nazmi Firdaus Niel Maarse
description This research will explain about whether the stock market price can be predicted using Least Squared method, Runge-Kutta-Fehlberg and Modified Euler method. The data will be collected by observing the stock market price in the month of February. The calculations will be done by using the MAPLE software. From the calculation and also after calculating the Mean Absolute Error of all the methods, the best method to predict the stock market price is the Modified Euler method.
format Thesis
qualification_level Bachelor degree
author Niel Maarse, Muhammad Nazmi Firdaus
author_facet Niel Maarse, Muhammad Nazmi Firdaus
author_sort Niel Maarse, Muhammad Nazmi Firdaus
title A comparison between least squared method, modified Euler’s method and Runge-Kutta- Fehlberg in predicting the stock market price for Petronas Gas Bhd / Muhammad Nazmi Firdaus Niel Maarse
title_short A comparison between least squared method, modified Euler’s method and Runge-Kutta- Fehlberg in predicting the stock market price for Petronas Gas Bhd / Muhammad Nazmi Firdaus Niel Maarse
title_full A comparison between least squared method, modified Euler’s method and Runge-Kutta- Fehlberg in predicting the stock market price for Petronas Gas Bhd / Muhammad Nazmi Firdaus Niel Maarse
title_fullStr A comparison between least squared method, modified Euler’s method and Runge-Kutta- Fehlberg in predicting the stock market price for Petronas Gas Bhd / Muhammad Nazmi Firdaus Niel Maarse
title_full_unstemmed A comparison between least squared method, modified Euler’s method and Runge-Kutta- Fehlberg in predicting the stock market price for Petronas Gas Bhd / Muhammad Nazmi Firdaus Niel Maarse
title_sort comparison between least squared method, modified euler’s method and runge-kutta- fehlberg in predicting the stock market price for petronas gas bhd / muhammad nazmi firdaus niel maarse
granting_institution Universiti Teknologi MARA, Terengganu
granting_department College of Computing, Informatics and Mathematics
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/97156/1/97156.pdf
_version_ 1804890015779520512