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Are combination forecasts of S&P 500 volatility statistically superior?
Becker, Ralf; Clements, Adam - In: International journal of forecasting 24 (2008) 1, pp. 122-133
Persistent link: https://www.econbiz.de/10003661257
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Selecting volatility forecasting models for portfolio allocation purposes
Becker, Ralf; Clements, Adam; Doolan, M. B.; Hurn, Stan - In: International journal of forecasting 31 (2015) 3, pp. 849-861
Persistent link: https://www.econbiz.de/10011474597
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A dynamic multiple equation approach for forecasting PM 2.5 pollution in Santiago, Chile
Moisan, Stella; Herrera, Rodrigo; Clements, Adam - In: International journal of forecasting 34 (2018) 4, pp. 566-581
Persistent link: https://www.econbiz.de/10012031041
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Forecasting extreme financial risk : a score-driven approach
Fuentes, Fernanda; Herrera, Rodrigo; Clements, Adam - In: International journal of forecasting 39 (2023) 2, pp. 720-735
Persistent link: https://www.econbiz.de/10014465107
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Outlier-robust methods for forecasting realized covariance matrices
Li, Dan; Drovandi, Christopher; Clements, Adam - In: International journal of forecasting 40 (2024) 1, pp. 392-408
Persistent link: https://www.econbiz.de/10014450278
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Trading and non-trading period realized market volatility : does it matter for forecasting the volatility of US stocks?
Lyócsa, Štefan; Todorova, Neda - In: International journal of forecasting 36 (2020) 2, pp. 628-645
Persistent link: https://www.econbiz.de/10012415313
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Are combination forecasts of S&P 500 volatility statistically superior?
Becker, Ralf; Clements, Adam E. - In: International journal of forecasting 24 (2008) 1, pp. 122-133
Persistent link: https://www.econbiz.de/10007911037