Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/258304 
Year of Publication: 
2021
Citation: 
[Journal:] Risks [ISSN:] 2227-9091 [Volume:] 9 [Issue:] 12 [Article No.:] 222 [Publisher:] MDPI [Place:] Basel [Year:] 2021 [Pages:] 1-16
Publisher: 
MDPI, Basel
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.
Subjects: 
risk measures
value at risk
COVID-19
cryptocurrency
bitcoin
backtesting
Monte-Carlo simulation
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article
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