Value at Risk Performance in Cryptocurrencies


  • Danai Likitratcharoen Chiang Mai University, Thailand
  • Teerasak Na Ranong Bangkok University, Thailand
  • Ratikorn Chuengsuksomboon Assumption University, Thailand
  • Norrasate Sritanee Chiang Mai University, Thailand
  • Ariyapong Pansriwong Chiang Mai University, Thailand


Cryptocurrency, Bitcoin, Value at Risk, Performance, Independence Test, Joint Test


Due to conclusion could not rely on only one test, in this study, we apply various approaches to verify the actuary of VaR model to find out whether VaR model, especially historical VaR and delta normal VaR model, can provide the accurate risk measurement results for cryptocurrencies risk, especially CRIX, BTC, ETH and XRP. We use Kupiec’s POF test, Independence Test - Christoffersen (1998) and Joint Test that widely use for backtesting VaR model. Performance test results for risk measurement by historical VaR provide a fairly accurate over delta normal VaR when we use Kupiec’s POF-test for the accuracy of VaR model. Christoffersen (1998) independence test, the exceptions (failures) of historical VaR and delta normal VaR model show independence exceptions in accordance with an only high confidence level of critical values (0.99). Otherwise, the low confidence level of critical values (0.90 and 0.95) appears dependence exceptions. For the Joint test, we combine POF-test and independence test because each model has different advantages and disadvantages. The results show that historical VaR model is suitable for measuring cryptocurrency risk over delta normal VaR only high confidence level of critical values.