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The Accuracy of Risk Measurement Models on Bitcoin Market during COVID-19 Pandemic

Author

Listed:
  • Danai Likitratcharoen

    (Faculty of Business Administration, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Nopadon Kronprasert

    (Excellence Center in Infrastructure Technology and Transportation Engineering (ExCITE), Chiang Mai University, Chiang Mai 50200, Thailand
    Department of Civil Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Karawan Wiwattanalamphong

    (Faculty of Business Administration, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Chakrin Pinmanee

    (Faculty of Business Administration, Chiang Mai University, Chiang Mai 50200, Thailand)

Abstract

Since late 2019, during one of the largest pandemics in history, COVID-19, global economic recession has continued. Therefore, investors seek an alternative investment that generates profits during this financially risky situation. Cryptocurrency, such as Bitcoin, has become a new currency tool for speculators and investors, and it is expected to be used in future exchanges. Therefore, this paper uses a Value at Risk (VaR) model to measure the risk of investment in Bitcoin. In this paper, we showed the results of the predicted daily loss of investment by using the historical simulation VaR model, the delta-normal VaR model, and the Monte Carlo simulation VaR model with the confidence levels of 99%, 95%, and 90%. This paper displayed backtesting methods to investigate the accuracy of VaR models, which consisted of the Kupiec’s POF and the Kupiec’s TUFF statistical testing results. Finally, Christoffersen’s independence test and Christoffersen’s interval forecasts evaluation showed effectiveness in the predictions for the robustness of VaR models for each confidence level.

Suggested Citation

  • Danai Likitratcharoen & Nopadon Kronprasert & Karawan Wiwattanalamphong & Chakrin Pinmanee, 2021. "The Accuracy of Risk Measurement Models on Bitcoin Market during COVID-19 Pandemic," Risks, MDPI, vol. 9(12), pages 1-16, December.
    • Handle: RePEc:gam:jrisks:v:9:y:2021:i:12:p:222-:d:695318
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    References listed on IDEAS

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    1. Danai Likitratcharoen & Pan Chudasring & Chakrin Pinmanee & Karawan Wiwattanalamphong, 2023. "The Efficiency of Value-at-Risk Models during Extreme Market Stress in Cryptocurrencies," Sustainability, MDPI, vol. 15(5), pages 1-21, March.

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