The Impact of Covid-19 Pandemic on the Forecasting Indonesian Composite Stock Price Index
- DOI
- 10.2991/aebmr.k.210717.049How to use a DOI?
- Keywords
- forecasting, exponential smoothing, composite stock price index, covid-19 pandemic
- Abstract
This study aims to obtain the Composite Stock Price Index’s closing price forecast from January to October 2021. This research method uses the single exponential smoothing method. The sample used in this study is the composite stock price index at the closing price for all sectors and all companies on the Indonesia Stock Exchange on a week scale from October 2015 to October 2020. The forecasting results show that the Composite Stock Price Index will have a value expected to return to normal. The period before the Covid-19 pandemic. This study provides forecasting results based only on the combined stock price index data for five periods with Microsoft Excel calculations using predetermined formulas. Forecasting results show that in 2021 the stock price index will reach normal conditions like it was before the Covid-19 pandemic. Investors can use forecasting information on this composite stock index to determine the action of selling or buying shares because the composite price index reflects the performance conditions of all companies listed on the Indonesia Stock Exchange and shows the country’s economic needs. Suggestions for further research are to be able to predict the combined price index of each sector.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Mayasir Aziza AU - Nurafni Eltivia AU - Nur Indah Riwajanti PY - 2021 DA - 2021/07/19 TI - The Impact of Covid-19 Pandemic on the Forecasting Indonesian Composite Stock Price Index BT - Proceedings of 2nd Annual Management, Business and Economic Conference (AMBEC 2020) PB - Atlantis Press SP - 247 EP - 249 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.210717.049 DO - 10.2991/aebmr.k.210717.049 ID - Aziza2021 ER -