five

Out of sample forecasting with realized variance.

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https://figshare.com/articles/dataset/Out_of_sample_forecasting_with_realized_variance_/17093684
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This table presents the oil futures volatility out-of-sample forecasting results of Liquidity-adjusted GARCH (LGARCH) with other three GARCH models against the 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 most subsample tests. Where en = *10n, e.g. e − 02 = *10−2.
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2021-11-29
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