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Pemodelan Volatilitas Harian Menggunakan Pendekatan Realized EGARCH-CJ
This study compares the performance of Realized Exponential GARCH (REGARCH) and REGARCH with Continuous and Jump components (REGARCH-CJ) models in modeling the volatility of financial assets based on daily data from Tokyo Stock Prince Index (TOPIX) over the period January 2004 to December 2011.openaire +1 more source
Predicting returns on Canadian exchange rates with artificial neural networks and EGARCH-M models
Neural Computing and Applications, 1996Athanasios Episcopos
exaly
Day-ahead electricity price forecasting using WT, CLSSVM and EGARCH model
International Journal of Electrical Power and Energy Systems, 2013exaly

