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Hui Zhou, Worapree Ole Maneesoonthorn and Xiangjin Bruce Chen
A fundamental role of financial reporting is to provide information useful in forecasting future cash flows. Applying up-to-date time series modelling techniques, this study provides direct evidence on the usefulness of quarterly data in predicting futur...
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Jeerawadee Pumjaroen,Preecha Vichitthamaros,Yuthana Sethapramote
Pág. 47 - 57
The study proposes a partial least squares structural equation modeling (PLS-SEM) evaluating the relationship among composite leading indices (CLIs) to forecast the economic cycle (EC) instead of using only individual CLI. The model of quarterly data in ...
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Antonio Comi and Antonio Polimeni
Bus travel time analysis plays a key role in transit operation planning, and methods are needed for investigating its variability and for forecasting need. Nowadays, telematics is opening up new opportunities, given that large datasets can be gathered th...
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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...
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Dakotah Hogan, John Elshaw, Clay Koschnick, Jonathan Ritschel, Adedeji Badiru and Shawn Valentine
Traditional learning curve theory assumes a constant learning rate regardless of the number of units produced. However, a collection of theoretical and empirical evidence indicates that learning rates decrease as more units are produced in some cases. Th...
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