Chortareas, Georgios and Jiang, Ying and Nankervis, John C (2011) Forecasting exchange rate volatility using high-frequency data: Is the euro different? International Journal of Forecasting, 27 (4). pp. 1089-1107. DOI https://doi.org/10.1016/j.ijforecast.2010.07.003
Chortareas, Georgios and Jiang, Ying and Nankervis, John C (2011) Forecasting exchange rate volatility using high-frequency data: Is the euro different? International Journal of Forecasting, 27 (4). pp. 1089-1107. DOI https://doi.org/10.1016/j.ijforecast.2010.07.003
Chortareas, Georgios and Jiang, Ying and Nankervis, John C (2011) Forecasting exchange rate volatility using high-frequency data: Is the euro different? International Journal of Forecasting, 27 (4). pp. 1089-1107. DOI https://doi.org/10.1016/j.ijforecast.2010.07.003
Abstract
We assess the performances of alternative procedures for forecasting the daily volatility of the euro’s bilateral exchange rates using 15 min data. We use realized volatility and traditional time series volatility models. Our results indicate that using high-frequency data and considering their long memory dimension enhances the performance of volatility forecasts significantly. We find that the intraday FIGARCH model and the ARFIMA model outperform other traditional models for all exchange rate series.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Euro exchange rates; Volatility forecasting; High-frequency data; GARCH model; Long memory time series; Forecast evaluation |
| Subjects: | H Social Sciences > HG Finance |
| Divisions: | Faculty of Social Sciences > Essex Business School |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 18 Dec 2012 15:02 |
| Last Modified: | 05 Dec 2024 11:33 |
| URI: | http://repository.essex.ac.uk/id/eprint/4787 |