Fit and forecasting Indonesia banking stock price during Covid-19 pandemic based on logistic differential equation system

Banks are financial service companies that play an important role in channeling finances to folks who want capital for micro, small and medium establishments. The increase in bankrupt companiesand unemployment in many sectors due to the uncertain condition during the Covid-19 pandemic will affect ba...

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Main Authors: Noviantri, Viska, Chandra, Andree Sulistio, Yuhani, Yusof
Format: Conference or Workshop Item
Language:English
English
Published: Association for Computing Machinery 2023
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/42449/
http://umpir.ump.edu.my/id/eprint/42449/1/EBEE2022.pdf
http://umpir.ump.edu.my/id/eprint/42449/7/Fit%20and%20forecasting%20Indonesia%20bankin_ABST.pdf
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author Noviantri, Viska
Chandra, Andree Sulistio
Yuhani, Yusof
author_facet Noviantri, Viska
Chandra, Andree Sulistio
Yuhani, Yusof
author_sort Noviantri, Viska
building UMP Institutional Repository
collection Online Access
description Banks are financial service companies that play an important role in channeling finances to folks who want capital for micro, small and medium establishments. The increase in bankrupt companiesand unemployment in many sectors due to the uncertain condition during the Covid-19 pandemic will affect bank performancewhich may change their stock price dynamics. This study analyzes the stock price fluctuation in banking companies using a logistic differential equation model since the fluctuation changes rapidlyand has a nonlinear pattern. This model was finished by the fit and forecasting process; and completed by Mean Average PercentageError (MAPE) value to see how well the model captures the stock price fluctuation. Furthermore, the closing stock price during the pandemic of the four banks with the largest number of assets in Indonesia’s banking sectors is applied here to complete the fit and forecasting simulation. The results show that the MAPE average value of this model in the fit process is 6.331%. In other words, the logistic equation accurately represents banking stock price fluctuation. Next, the forecast process conducts to predict the stock price fluctuation for some periods. Thus, the fluctuation of stock prices in Indonesian banking during the Covid-19 pandemic can analyze further.
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institution Universiti Malaysia Pahang
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language English
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publishDate 2023
publisher Association for Computing Machinery
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spelling ump-424492024-08-27T03:06:56Z http://umpir.ump.edu.my/id/eprint/42449/ Fit and forecasting Indonesia banking stock price during Covid-19 pandemic based on logistic differential equation system Noviantri, Viska Chandra, Andree Sulistio Yuhani, Yusof QA Mathematics Banks are financial service companies that play an important role in channeling finances to folks who want capital for micro, small and medium establishments. The increase in bankrupt companiesand unemployment in many sectors due to the uncertain condition during the Covid-19 pandemic will affect bank performancewhich may change their stock price dynamics. This study analyzes the stock price fluctuation in banking companies using a logistic differential equation model since the fluctuation changes rapidlyand has a nonlinear pattern. This model was finished by the fit and forecasting process; and completed by Mean Average PercentageError (MAPE) value to see how well the model captures the stock price fluctuation. Furthermore, the closing stock price during the pandemic of the four banks with the largest number of assets in Indonesia’s banking sectors is applied here to complete the fit and forecasting simulation. The results show that the MAPE average value of this model in the fit process is 6.331%. In other words, the logistic equation accurately represents banking stock price fluctuation. Next, the forecast process conducts to predict the stock price fluctuation for some periods. Thus, the fluctuation of stock prices in Indonesian banking during the Covid-19 pandemic can analyze further. Association for Computing Machinery 2023-09-07 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42449/1/EBEE2022.pdf pdf en http://umpir.ump.edu.my/id/eprint/42449/7/Fit%20and%20forecasting%20Indonesia%20bankin_ABST.pdf Noviantri, Viska and Chandra, Andree Sulistio and Yuhani, Yusof (2023) Fit and forecasting Indonesia banking stock price during Covid-19 pandemic based on logistic differential equation system. In: Proceedings of the 2022 4th International Conference on E-Business and E-Commerce Engineering. 2022 4th International Conference on E-Business and E-Commerce Engineering, EBEE 2022 , 14 - 16 Dec 2022 , Plymouth, The United Kingdom. pp. 56-63.. ISBN 979-840070007-1 (Published) https://doi.org/10.1145/3589860.3589881 Code 194956
spellingShingle QA Mathematics
Noviantri, Viska
Chandra, Andree Sulistio
Yuhani, Yusof
Fit and forecasting Indonesia banking stock price during Covid-19 pandemic based on logistic differential equation system
title Fit and forecasting Indonesia banking stock price during Covid-19 pandemic based on logistic differential equation system
title_full Fit and forecasting Indonesia banking stock price during Covid-19 pandemic based on logistic differential equation system
title_fullStr Fit and forecasting Indonesia banking stock price during Covid-19 pandemic based on logistic differential equation system
title_full_unstemmed Fit and forecasting Indonesia banking stock price during Covid-19 pandemic based on logistic differential equation system
title_short Fit and forecasting Indonesia banking stock price during Covid-19 pandemic based on logistic differential equation system
title_sort fit and forecasting indonesia banking stock price during covid-19 pandemic based on logistic differential equation system
topic QA Mathematics
url http://umpir.ump.edu.my/id/eprint/42449/
http://umpir.ump.edu.my/id/eprint/42449/
http://umpir.ump.edu.my/id/eprint/42449/
http://umpir.ump.edu.my/id/eprint/42449/1/EBEE2022.pdf
http://umpir.ump.edu.my/id/eprint/42449/7/Fit%20and%20forecasting%20Indonesia%20bankin_ABST.pdf