Accurate forecasting of volatility is of considerable interest in financial volatility research, particularly in regard to portfolio allocation, option pricing, and risk management. This article investigates and compares the ability to conduct one-day-ahead volatility forecasts in the Australian...

We investigated the performance of value-at-risk (VaR) models of KOSPI 200 sector indices using FIGARCH and FIAPARCH models under normal and skewed Student-t innovation distributions. The FIAPARCH model well captured the long-memory and asymmetry properties of the volatility. In addition, the...