遇见数据集

Out of sample forecasting with simplified realized variance.

收藏
NIAID Data Ecosystem2026-03-13 收录
官方服务:

资源简介:

This table presents the oil futures volatility out-of-sample forecasting results of Liquidity-adjusted GARCH (LGARCH) with other three GARCH models against the simplified realized variance using the Mean Squared Error (MSE). The p-values for statistical differences of the forecasting errors are also presented. The LGARCH model outweighs all other three models in both full sample and all subsample tests. Where en = *10n, e.g. e − 02 = *10−2.

创建时间:
2021-11-29
二维码
社区交流群
二维码
科研交流群
商业服务