The Effect of Increasing Daily Case COVID-19 as Moderating Variable on Coal Stock Price
DOI:
https://doi.org/10.24002/ijieem.v3i2.5547Keywords:
Coal Stock, Covid, Moderation Variable, Coal stock, coal price, COVID-19, regression, moderating variableAbstract
Stock investments in the time of the COVID-19 pandemic have a considerable risk. This happens because of the increasingly uncontrolled movement of stock prices. The potential for steep charts can occur at any time. Sentiment analysis of increasing daily cases of COVID-19 was analyzed to see how much effect it has on stock price movements. This research will analyze stock prices from coal commodities in Indonesia. Researchers choose to discuss coal commodities because, in April 2021, there was a significant increase and highest in November 2021. Because of the data, researchers want to see the influence of some coal companies using selling price data with moderating variables for estimating the stock price. There are 26 coal companies that are listed on Indonesia Stock Exchange. The analysis will be a check on five companies that have the largest investors. The analysis is also carried out on coal sales price movements. Furthermore, five different coal mining companies were analyzed based on the rate of price changes to new selling prices with variable moderation in Indonesia. Increasing daily cases of COVID-19 being variable moderation. The method used for finding the relationship is a linear regression with a moderating variable. According to the analysis, the increasing daily case of COVID-19 as a moderating variable is enough to affect the relationship between the selling price of coal and the stock price of HRUM.JK and PTBA.JK. In stock price HRUM.JK, there is an increasing adjusted R square from 0.5254 to 0.5451. The same conditions apply to PTBA.JK has increased by 0.4040 to 0.4444.
References
Alexandri, M., & Supriyanto, S. (2022). Vollatility Spillover between Stock Returns and Oil Prices during the Covid-19 Pandemic in ASEAN. International Journal of Energy Economic and Policy, 12(1), 126-133.
Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis (Second Edition). New York: Guilford Press.
Hohler, J., & Lansink, A. (2020). Measuring the impact of COVID‐19 on stockprices and profits in the food supply chain. Agribusiness, 37, 171–186.
Jimenez, K. C., Rubilar, R., Fuente-Mella, H. D., & Leiva, V. (2021). Breakpoint Analysis for the COVID-19 Pandemic and Its Effect on the Stock Market. Entropy, 23(1), 100-111.
Liang, S. (2018). The systematic pricing of market sentiment shock. The European Journal of Finance, 24(18), 1835-1860.
Memon, M. A., Cheah, J. H., Ramayah, T., Hiram, T., Chuah, F., & Cham, T. H. (2019). Moderation Analysis: Issue and Guidelines. Journal of Applied Structural Equation Modelling, 3(1), 1-11.
Phuong, L. C. (2021). The Impact of COVID-19 on Stock Price: An Application of Event Study Method in Vietnam. Journal of Applied Structural Equation Modelling, 8(5), 523-531.
Rahmayani, D., & Oktavilia, S. (2020). Does the Covid-19 Pandemic Affect the Stock Market in Indonesia? Jurnal Ilmu Sosial dan Ilmu Politik, 24(1), 33-47.
Sastralaga, N., & Manurung, A. (2020). The Effects of Macroeconomic Variables and Company's Financial Ratios on Stocks Prices of Coal Mining Companies Listed in Indonesia Stock Exchange for the period of 2013-2018. Journal of Applied Finance & Banking, 10(2), 167-178.
Tandelilin, E. (2017). Investment Analysis and Portofolio Management. Yogyakarta: Kanisius.
Troiano, L., Villa, E., & Loia, V. (2018). Replicating a Trading Strategy by Means of LSTM for Financial Industry Application. IEEE Transaction on Industrial Informatics, 14(7), 3226-3234.
Wang, Q., Yang, X., & Li, R. (2022). The impact of the COVID-19 pandemic on the energy market – A comparative relationship between oil and coal. Energy Strategy Reviews, 39, Article100761.
Zhang, Z., & Wang, L. (2017). Advance Statistics Using R. Granger IN: ISDSA Press.
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