In this paper we explores as to whether cryptocurrency returns exhibit asymmetric reverting patterns and we test the presence of regime changes in the GARCH volatility dynamics of Bitcoin log–returns. For these reason, we uses non-linear autoregressive and Markov–switching GARCH (SETAR-MSGARCH) models. We finds strong evidence of regime changes in the mean and GARCH process. In addition, we conclude that bad news and good news of the same size have same impacts for investors.
Threshold Mean Reversion and Regime Changes of Cryptocurrencies using SETAR-MSGARCH Models.
Scalera, F.
2019-01-01
Abstract
In this paper we explores as to whether cryptocurrency returns exhibit asymmetric reverting patterns and we test the presence of regime changes in the GARCH volatility dynamics of Bitcoin log–returns. For these reason, we uses non-linear autoregressive and Markov–switching GARCH (SETAR-MSGARCH) models. We finds strong evidence of regime changes in the mean and GARCH process. In addition, we conclude that bad news and good news of the same size have same impacts for investors.File in questo prodotto:
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