Two volatility forecasting evaluation measures are considered; the squared one-day ahead forecast error and its … standardized version. The mean squared forecast error is the widely accepted evaluation function for the realized volatility … standardized with its volatility. The statistical properties of the forecast errors point the standardized version as a more …

obtained from discrete time models by comparing them with high-frequency ex post estimates (e.g. realised volatility) based on … illustration provides an example of where an explanatory model outperforms realised volatility ex post. -- Financial variability … ; financial volatility ; forecasting ; explanatory modelling ; exchange rates …

-day and intra-day volatility models by estimating the AR(1)-GARCH(1,1)-skT and the AR(1)-HAR-RV-skT frameworks, respectively … intra-day volatility model is not as appropriate as it was expected to be for each of the different asset classes; stock … performance of the inter-day and intra-day volatility models across various markets. The inter-day specification predicts and …

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 …

ARCH and stochastic volatility models. We consider two major dollar exchange rates, and we show that returns standardized …

In this study, we model realized volatility constructed from intraday high-frequency data. We explore the possibility … of confusing long memory and structural breaks in the realized volatility of the following spot exchange rates: EUR …' realized volatility. From the Bai – Perron test, we found structural breakpoints that match significant events in financial …

In this paper, we estimate, model and forecast Realized Range Volatility, a new realized measure and estimator of the …-known stylized effects present in financial data. We consider an HAR model with asymmetric effects with respect to the volatility and …

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 …