Data Analysis, Visualization and Prediction of Stock Market Prices of K-Electric
Predicting stock price is a trend yet very challenging task. It is because the stock prices depend upon several internal and external factors. Stock price prediction can be very useful for financial sectors and the government and help in informed decision-making. This paper analyzes the stock marke...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The University of Lahore
2022-09-01
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| Series: | Pakistan Journal of Engineering & Technology |
| Subjects: | |
| Online Access: | https://www.hpej.net/journals/pakjet/article/view/2123 |
| _version_ | 1811208540760571904 |
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| author | Noman Islam Misbah Afzal Muhammad Arsal Wali Hamza Shakeel |
| author_facet | Noman Islam Misbah Afzal Muhammad Arsal Wali Hamza Shakeel |
| author_sort | Noman Islam |
| collection | DOAJ |
| description |
Predicting stock price is a trend yet very challenging task. It is because the stock prices depend upon several internal and external factors. Stock price prediction can be very useful for financial sectors and the government and help in informed decision-making. This paper analyzes the stock market prices of K-Electric Karachi. It is found that the stock prices of K-electric depend on the stock prices of the refinery sector. The paper analyzes the stock price data of the two sectors. Also, the paper compares the stock price prediction based on moving average, auto-regressive integrated moving average (ARIMA), convolutional neural network and long short-term memory (LSTM) model. It is found that ARIMA outperforms the other algorithms. A set of experiments were conducted to test the performance of algorithms. The algorithms were analyzed based on different metrics such as root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE).
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| first_indexed | 2024-04-12T04:23:05Z |
| format | Article |
| id | doaj.art-41153443be92447f9f7964efa6c2cc71 |
| institution | Directory Open Access Journal |
| issn | 2664-2042 2664-2050 |
| language | English |
| last_indexed | 2024-04-12T04:23:05Z |
| publishDate | 2022-09-01 |
| publisher | The University of Lahore |
| record_format | Article |
| series | Pakistan Journal of Engineering & Technology |
| spelling | doaj.art-41153443be92447f9f7964efa6c2cc712022-12-22T03:48:09ZengThe University of LahorePakistan Journal of Engineering & Technology2664-20422664-20502022-09-015210.51846/vol5iss2pp226-233Data Analysis, Visualization and Prediction of Stock Market Prices of K-ElectricNoman Islam0Misbah Afzal1Muhammad Arsal Wali2Hamza Shakeel3Karachi Institute of Economics and Technology, Karachi, PakistanNED University of Engineering and Technology, Karachi, PakistanNED University of Engineering and Technology, Karachi, PakistanNED University of Engineering and Technology, Karachi, Pakistan Predicting stock price is a trend yet very challenging task. It is because the stock prices depend upon several internal and external factors. Stock price prediction can be very useful for financial sectors and the government and help in informed decision-making. This paper analyzes the stock market prices of K-Electric Karachi. It is found that the stock prices of K-electric depend on the stock prices of the refinery sector. The paper analyzes the stock price data of the two sectors. Also, the paper compares the stock price prediction based on moving average, auto-regressive integrated moving average (ARIMA), convolutional neural network and long short-term memory (LSTM) model. It is found that ARIMA outperforms the other algorithms. A set of experiments were conducted to test the performance of algorithms. The algorithms were analyzed based on different metrics such as root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE). https://www.hpej.net/journals/pakjet/article/view/2123ARIMACNNLSTMStock price prediction |
| spellingShingle | Noman Islam Misbah Afzal Muhammad Arsal Wali Hamza Shakeel Data Analysis, Visualization and Prediction of Stock Market Prices of K-Electric Pakistan Journal of Engineering & Technology ARIMA CNN LSTM Stock price prediction |
| title | Data Analysis, Visualization and Prediction of Stock Market Prices of K-Electric |
| title_full | Data Analysis, Visualization and Prediction of Stock Market Prices of K-Electric |
| title_fullStr | Data Analysis, Visualization and Prediction of Stock Market Prices of K-Electric |
| title_full_unstemmed | Data Analysis, Visualization and Prediction of Stock Market Prices of K-Electric |
| title_short | Data Analysis, Visualization and Prediction of Stock Market Prices of K-Electric |
| title_sort | data analysis visualization and prediction of stock market prices of k electric |
| topic | ARIMA CNN LSTM Stock price prediction |
| url | https://www.hpej.net/journals/pakjet/article/view/2123 |
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