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The dynamic volatility connectedness structure of energy futures and global financial markets : evidence from a novel time-frequency domain approach
Bagheri, Ehsan; Ebrahimi, Seyed Babak; Mohammadi, Arman; … - In: Computational economics 59 (2022) 3, pp. 1087-1111
Persistent link: https://www.econbiz.de/10013169223
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Application of supervised machine learning techniques to forecast the COVID‑19 U.S. recession and stock market crash
Malladi, Rama K. - In: Computational economics 63 (2024) 3, pp. 1021-1045
Persistent link: https://www.econbiz.de/10014546241
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Volatilityforecastingpackage : a financial volatility package in mathematica
Khodabaccus, Noorshanaaz; Saib, Aslam A. E. F. - In: Computational economics 63 (2024) 6, pp. 2307-2324
Persistent link: https://www.econbiz.de/10014636740
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Benchmark analysis of machine learning methods to forecast the U.S. annual inflation rate during a high-decile inflation period
Malladi, Rama K. - In: Computational economics 64 (2024) 1, pp. 335-375
Persistent link: https://www.econbiz.de/10015078028