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GARCH Model for Evaluating Volatility Based on the Share Price of Airlines Company During the COVID-19 Outbreak

Author

Listed:
  • Nashirah Abu Bakar

    (Islamic Business School, College of Business, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia)

  • Sofian Rosbi

    (Faculty of Business and Communication, Universiti Malaysia Perlis, 01000 Kangar, Perlis, Malaysia)

  • Kiyotaka Uzaki

    (Department of Business Management Systems, Faculty of Economics, Oita University, Japan)

Abstract

The COVID-19 outbreak has affected economic activities in the worldwide financial market. The instability of financial markets makes investors uncomfortable because there is not enough study to prove the volatility of share price movements. One of the most affected sectors is tourism namely airlines company. Therefore, this study is implemented to analyze the volatility rate for the share price of financial markets based on airlines company. This study uses one sample of companies from Malaysia Stock Exchange for an airline company that was affected by the COVID-19 outbreak. Data were collected from February 2020 until June 2022. The number of daily observations is 545 days. The distribution of return rate data follows non-normal distribution according to Jarque-Bera statistical test. Next, this study performed three types of unit root tests namely ADF, PP, and KPSS. All three statistical tests agreed that the return data achieved stationarity characteristics at the level. The mean equation for this study is using ARMA (2,2). Then, this study uses Generalized Auto-Regressive Conditional Heteroskedasticity (GARCH) for modeling volatility. The result shows there is high volatility clustering that exists during the COVID-19 outbreak. The value of AIC, SC, and HQN show the fittest model is TGARCH (1,1). The threshold effect is positive and significant. Therefore, the bad news is likely to be pronounced rather than the good news. Thus, it is important to investors in carefully evaluate their investment strategy to reduce their investment risk. The findings of this study help the government to develop suitable policies in assisting the economic and financial stability

Suggested Citation

  • Nashirah Abu Bakar & Sofian Rosbi & Kiyotaka Uzaki, 2022. "GARCH Model for Evaluating Volatility Based on the Share Price of Airlines Company During the COVID-19 Outbreak," International Journal of Management Science and Business Administration, Inovatus Services Ltd., vol. 9(1), pages 42-52, November.
    • Handle: RePEc:mgs:ijmsba:v:9:y:2022:i:1:p:42-52
    DOI: 10.18775/ijmsba.1849-5664-5419.2014.91.1004
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    References listed on IDEAS

    as
    1. Nashirah Abu Bakar & Sofian Rosbi & Kiyotaka Uzaki, 2017. "Cryptocurrency Framework Diagnostics from Islamic Finance Perspective: A New Insight of Bitcoin System Transaction," International Journal of Management Science and Business Administration, Inovatus Services Ltd., vol. 4(1), pages 19-28, November.
    2. Suresh Kumar & Ankit Kumar & Gurcharan Singh, 2022. "Gold, crude oil, bitcoin and Indian stock market: recent confirmation from nonlinear ARDL analysis," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(4), pages 734-751, June.
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    More about this item

    Keywords

    COVID-19; Volatility; GARCH model; Airlines company; Investment;
    All these keywords.

    JEL classification:

    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General

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