betategarch: simulation, estimation and forecasting of first-order Beta-Skew-t-EGARCH models
Journal article, Peer reviewed

View/ Open
Date
2013Metadata
Show full item recordCollections
- Scientific articles [2254]
Abstract
This paper illustrates the usage of the betategarch package, a package for the simulation,
estimation and forecasting of Beta-Skew-t-EGARCH models. The Beta-Skew-t-EGARCH model is
a dynamic model of the scale or volatility of financial returns. The model is characterised by its
robustness to jumps or outliers, and by its exponential specification of volatility. The latter enables
richer dynamics, since parameters need not be restricted to be positive to ensure positivity of volatility.
In addition, the model also allows for heavy tails and skewness in the conditional return (i.e. scaled
return), and for leverage and a time-varying long-term component in the volatility specification. More
generally, the model can be viewed as a model of the scale of the error in a dynamic regression.
Description
This is an Open Access journal. The publication is available at http://journal.r-project.org