## Abstract Since volatility is perceived as an explicit measure of risk, financial economists have long been concerned with accurate measures and forecasts of future volatility and, undoubtedly, the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model has been widely used for do
Comparative forecasting performance of symmetric and asymmetric conditional volatility models of an exchange rate
β Scribed by Ercan Balaban
- Book ID
- 116420755
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 88 KB
- Volume
- 83
- Category
- Article
- ISSN
- 0165-1765
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract In recent years there has been a considerable development in modelling nonβlinearities and asymmetries in economic and financial variables. The aim of the current paper is to compare the forecasting performance of different models for the returns of three of the most traded exchange rat
This paper compares the out-of-sample forecasting accuracy of a wide class of structural, BVAR and VAR models for major sterling exchange rates over different forecast horizons. As representative structural models we employ a portfolio balance model and a modified uncovered interest parity model, wi