volatility. This paper proposes the time-varying transition probability Markov-switching GARCH (TV-MSGARCH) models incorporated … BTC logarithmic daily trading volume or Google daily searches as exogenous factors to model the volatility dynamics of BTC …

Forecasting volatility models typically rely on either daily or high frequency (HF) data and the choice between these … two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer from … these two family forecasting-volatility models, comparing their performance (in terms of Value at Risk, VaR) under the …

Forecasting volatility models typically rely on either daily or high frequency (HF) data and the choice between these … two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer from … these two family forecasting-volatility models, comparing their performance (in terms of Value at Risk, VaR) under the …

Forecasting-volatility models typically rely on either daily or high frequency (HF) data and the choice between these … two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer of many … forecasting-volatility models, comparing their performance (in terms of Value at Risk, VaR) under the assumptions of jumping …

Forecasting-volatility models typically rely on either daily or high frequency (HF) data and the choice between these … two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer of many … forecasting-volatility models, comparing their performance (in terms of Value at Risk, VaR) under the assumptions of jumping …

This paper provides empirical evidence that combinations of option implied and time series volatility forecasts that … application is for volatility forecasts of the Mexican Peso–US Dollar exchange rate, where realized volatility calculated using … intra-day data is used as a proxy for the (latent) daily volatility. -- Composite Forecasts ; Forecast Evaluation ; GARCH …

This paper shows that combinations of option implied and time series volatility forecasts that are conditional on … that this method works well in practice by applying it to volatility forecasts for the Mexican Peso-US Dollar exchange rate …, where the actual value is taken to be the realized volatility measured using intra-day observations …

This paper evaluates the VaR forecasting performance of the Markov regime switching (MRS) based volatility models … volatility models like the EGARCH or GARCH models with a skewed t-student distribution of return innovations can outperform the …