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 …

issue is particularly important for persistent time series, we focus on volatility modelling, specifically modelling of … realized volatility. We suggest a simple way of adjusting volatility models, which we illustrate on an AR(1) model and the HAR … more than 15 years, and we find that our extension improves the volatility models—both in sample and out of sample. For HAR …

This paper examines exchange-rate volatility with GARCH models using monthly exchange-rate return series from 1985:1 to … points. Our results reveal presence of volatility in the three currencies and equally indicate that most of the asymmetric … models rejected the existence of a leverage effect except for models with volatility break. Evaluating the models through …

In this paper, we study forecasting problems of Bitcoin-realized volatility computed on data from the largest crypto … model and forecast Bitcoin volatility. The empirical results demonstrate that least squares model-averaging methods in …

financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH … to forecast financial markets volatility. The real data in this study uses British Pound-US Dollar (GBP) daily exchange … examined to the free parameters. Keywords: recurrent support vector regression ; GARCH model ; volatility forecasting …

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 proposes an enhanced approach to modeling and forecasting volatility using high frequency data. Using a … forecasting model based on Realized GARCH with multiple time-frequency decomposed realized volatility measures, we study the … influence of different timescales on volatility forecasts. The decomposition of volatility into several timescales approximates …