|
|
|
|
|
Emmanuel Senyo Fianu
Because of the non-linearity inherent in energy commodity prices, traditional mono-scale smoothing methodologies cannot accommodate their unique properties. From this viewpoint, we propose an extended mode decomposition method useful for the time-frequen...
ver más
|
|
|
|
|
|
|
|
|
Apostolos Ampountolas
Overnight forecasting is a crucial challenge for revenue managers because of the uncertainty associated between demand and supply. However, there is limited research that focuses on predicting daily hotel demand. Hence, this paper evaluates various model...
ver más
|
|
|
|
|
|
|
|
|
Dimitrios Kartsonakis Mademlis,Nikolaos Dritsakis
Pág. 49 - 60
In several financial applications, it is extremely useful to predict volatility with the highest precision. Neural Networks alongside GARCH-type models have been extensively employed in the last decades for estimating volatility of financial indices. The...
ver más
|
|
|
|
|
|
|
|
|
Faheem Aslam, Paulo Ferreira, Khurrum Shahzad Mughal and Beenish Bashir
During crises, stock market volatility generally rises sharply, and as consequence, spillovers are identified across markets. This study estimates the volatility spillover among twelve European stock markets representing all four regions of Europe. The d...
ver más
|
|
|
|
|
|
|
|
|
Hatice Erkekoglu,Aweng Peter Majok Garang,Adire Simon Deng
Pág. 268 - 281
Symmetric and asymmetric GARCH models-GARCH (1,1); PARCH(1;1); EGARCH(1,1,); TARCH(1,1) and IGARCH(1,1)- were used to examine stylized facts of daily USD/UGX return series from September 1st, 2005 to August 30th, 2018. Modeling and forecasting were perfo...
ver más
|
|
|
|