A comparative study of interval forecasting using GARCH models under symmetric and asymmetric distributional assumptions

Abstract: Interval forecasting provides decision-makers with a range of possible future values, along with associated probabilities, which allows for a more informed decision-making process. Although GARCH models under different distributional assumptions are commonly compared for their volatility f...

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Bibliographic Details
Main Authors: Arasan, Jayanthi, Chong, Choo W. E. I., Zhang, Zhe
Format: Article
Published: Interscience Publishers 2023