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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2023
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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 |
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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 |