Time series forecasting of stock price of AirAsia Berhad using ARIMA model during COVID- 19
Rakesh Kumar Singhrakeshsinghdev@gmail.comMagadh UniversityGaya, Bihar, IndiaView full profile → , Vijay Kumar Vermaverma.vijay017@gmail.comMagadh UniversityGaya, Bihar, IndiaView full profile → , *Nitendra KumarCorresponding authornkshukla.kumar4@gmail.comAmity Business SchoolAmity UniversityNoida, Uttar Pradesh, India0000-0001-7834-7926View full profile → , Priyanka Agarwalpagarwal5@amity.eduAmity Business SchoolAmity UniversityNoida, Uttar Pradesh, IndiaView full profile → , Sadhana Tiwarisadhanahi@rediffmail.comSharda School of Business StudiesSharda universityGreater Noida, Uttar Pradesh, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 09 May 2023
- Published Online:
- 19 Oct 2023
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JSMS-1189
- Pages:
- 1421–1429
Abstract
Keywords
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References
[1] Nyoni, T. Modeling and forecasting inflation in Kenya: Recent insights from ARIMA and GARCH analysis. Dimorian Review, 5(6), 16–40 (2018).
[2] Nyoni, T., & Nathaniel, S. P. Modeling rates of inflation in Nigeria: An application of ARMA, ARIMA and GARCH models. MPRA Paper No. 91351, 1–29 (2018).
[3] Dhaduk, H. Stock market forecasting using time series analysis with ARIMA model, accessed online at https://www.analyticsvidhya.com/blog/2021/07/stock-market-forecasting-using-time-series-analysis-witharima-model/#h2, (2022).
[4] Electric vehicle consumption from Bloomberg accessed at https://about.bnef.com/electric-vehicle-outlook/ 2022.
[5] Mahadik, A., Devyani, V., and Amrapali, M., Stock price prediction using LSTM and ARIMA in Proceedings of the Second International Conference on Electronics and Sustainable Communication Systems IEEE Xplore Part Number: CFP21V66-ART (2021); ISBN: 978-1-6654-2867-5.
[6] Mishra, P. K., Predicting agri-food prices with time-series and data-mining based methods, Proceedings of the Fifth International Conference on Intelligent Computing and Control Systems , IEEE Xplore Part Number: CFP21K74-ART (2021); ISBN: 978-0-7381-1327-2.
[7] Pratheeth, S., and Vishnu, R. P., Stock price prediction using machine learning and deep learning, 2021, IEEE Mysore Sub Section International Conference (2021).
[8] Singh, R. K., Rani, M., Bhagavathula, A. S., Sah, R., Rodriguez-Morales A. J., & Kalita, H., Nanda, C., Sharma, S., Sharma, Y. D., Rabaan, A. A., Rahmani, J., & Kumar, P. Prediction of the COVID-19 pandemic for the top 15 affected countries: Advanced autoregressive integrated moving average (ARIMA) model. JMIR public health and surveillance, 6(2), e19115 (2020).
[9] Eurostat, 2022. Glossary:in-sample vs. out-of-sample forecasts. URL: https://ec.europa.eu/eurostat/statistics-explained/i ndex.php?title=Glossary:In-sample vs. out-of-sample forecasts
[10] Malska, W., Wachta, H., Using the arima model to analyze the time series. Scientific Papers of the Rzeszow University of Technology. ´ Electrotechnics 34, 3 (2015).
[11] Maheshwari, R. & Kapoor, V. Predicting the NSE stock index trends considering global financial variables and ARIMA model. Journal of Statistics and Management Systems. 25(7): 1513-1522 (2022). DOI: 10.1080/09720510.2022.2130563
[12] Sasi, A. & Subramanian, T. Comparative analysis of ARIMA and double exponential smoothing for forecasting rice sales in fair price shop. Journal of Statistics and Management Systems. 25(7): 1601-1619 (2022). DOI: 10.1080/09720510.2022.2130572.
[13] Mishra, P. K. Predicting agri-food prices with time-series and data-mining based methods. Proceedings of the Fifth International Conference on Intelligent Computing and Control Systems (2021). IEEE Xplore Part Number: CFP21K74-ART; ISBN: 978-0-7381-1327-2.
