FORECASTING REALIZED VOLATILITY WITH LINEAR AND NONLINEAR UNIVARIATE MODELS
โ Scribed by Michael McAleer; Marcelo C. Medeiros
- Book ID
- 110940631
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 212 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0950-0804
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
We provide a framework for integration of high-frequency intraday data into the measurement, modeling, and forecasting of daily and lower frequency return volatilities and return distributions. Building on the theory of continuous-time arbitrage-free price processes and the theory of quadratic varia
This paper proposes a methodology for dynamic modelling and forecasting of realized covariance matrices based on fractionally integrated processes. The approach allows for flexible dependence patterns and automatically guarantees positive definiteness of the forecast. We provide an empirical applica
In this paper we study the performance of the GARCH model and two of its non-linear modifications to forecast weekly stock market volatility. The models are the Quadratic GARCH (Engle and Ng, 1993) and the Glosten, Jagannathan and Runkle (1992) models which have been proposed to describe, for exampl