In this paper, we construct efficient forecast intervals for autoregressive conditional heteroscedastic (ARCH) models using the bootstrap. Forecast intervals for returns and volatility are constructed using the linear estimator (LE) for ARCH model. An advantage of LE over the widely used quasi...

The time series movements of Bitcoin prices are commonly characterized as highly nonlinear and volatile in nature across economic periods, when compared to the characteristics of traditional asset classes, such as equities and commodities. From a risk management perspective, such behaviors pose...