Risk

GARCH-type volatility models based on Brownian inverse Gaussian intra-day return processes

GARCH models are useful to estimate daily volatility in financial return series. When intra-day return data are available realized volatility may be used for the same purpose. We formulate a new model ...
JSTOR Daily

EFFICIENT SEMIPARAMETRIC GARCH MODELING OF FINANCIAL VOLATILITY

We consider a class of semiparametric GARCH models with additive autoregressive components linked together by a dynamic coefficient. We propose estimators for the additive components and the dynamic ...
Risk

Forecasting value-at-risk for frontier stock market indexes using GARCH-type models and extreme value theory: model validation for dynamic models

We discuss the relative performances of value-at-risk (VaR) models using generalized autoregressive conditional heteroscedasticity (GARCH), Glosten-Jagannathan-Runkle GARCH and integrated GARCH ...
Simon Fraser University

Heteroscedasticity and GARCH Models

There are several approaches to dealing with heteroscedasticity. If the error variance at different times is known, weighted regression is a good method. If, as is ...
Finextra

Optimize Your HFT and Portfolio Strategies with Volatility Insights

Volatility modeling is no longer just about pricing derivatives—it's the foundation for modern trading strategies, hedging precision, and portfolio optimization. Whether you're trading gold futures, ...