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This study investigates the factors of Bitcoin's tail risk, quantified by Value at Risk (VaR). Extending the conditional autoregressive VaR model proposed by Engle and Manganelli (2004), I examine 30 potential drivers of Bitcoin's 5% and 1% VaR. For the 5% VaR, quantity variables, such as...
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-Student-t distributional assumptions and compared with the predictive performance of the Conditional Autoregressive Value-at-Risk (CaViaR … robustness of the CaViaR model in out-sample VaR forecasting for the MILA and ASEAN-5 emerging stock markets in crisis periods …
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-GARCH(1,1), CAViaR and historical simulation models in periods with contrasting volatility trends (increasing, constantly high … periods. The results show as well that the CAViaR model forecasts were less appropriate in the increasing volatility period …
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The risk reducing benefits of the sovereign bond-backed security (SBBS) proposal of Brunnermeier et al (2011, 2016, 2017) have been assessed in terms of the likely losses that different kinds of holders would suffer under simulated default scenarios. However, the effects of mark-to-market losses...
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