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Detecting structural differences in tail dependence of financial time series
Bormann, Carsten; Schienle, Melanie - In: Journal of business & economic statistics : JBES ; a … 38 (2020) 2, pp. 380-392
Persistent link: https://www.econbiz.de/10012262482
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A new Pearson-type QMLE for conditionally heteroscedastic models
Zhu, Ke; Li, Wai Keung - In: Journal of business & economic statistics : JBES ; a … 33 (2015) 4, pp. 552-565
Persistent link: https://www.econbiz.de/10011403239
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Real-time macroeconomic forecasting with a heteroscedastic inversion copula
Loiza-Maya, Ruben; Smith, Michael S. - In: Journal of business & economic statistics : JBES ; a … 38 (2020) 2, pp. 470-486
Persistent link: https://www.econbiz.de/10012262488
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A nonparametric test for granger causality in distribution with application to financial contagion
Candelon, Bertrand; Tokpavi, Sessi - In: Journal of business & economic statistics : JBES ; a … 34 (2016) 2, pp. 240-253
Persistent link: https://www.econbiz.de/10011691324
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Combined density nowcasting in an uncertain economic environment
Aastveit, Knut Are; Ravazzolo, Francesco; Dijk, Herman … - In: Journal of business & economic statistics : JBES ; a … 36 (2018) 1, pp. 131-145
Persistent link: https://www.econbiz.de/10011894481
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Modeling and forecasting realized volatility
Andersen, Torben (contributor) - 2001
Persistent link: https://www.econbiz.de/10001561837
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Dynamic bivariate peak over threshold model for joint tail risk dynamics of financial markets
Zhao, Zifeng - In: Journal of business & economic statistics : JBES ; a … 39 (2021) 4, pp. 892-906
Persistent link: https://www.econbiz.de/10012653200
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Conditional extremes in asymmetric financial markets
Nolde, Natalia; Zhang, Jinyuan - In: Journal of business & economic statistics : JBES ; a … 38 (2020) 1, pp. 201-213
Persistent link: https://www.econbiz.de/10012179547
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Modeling extreme events : time-varying extreme tail shape
D'Innocenzo, Enzo; Lucas, André; Schwaab, Bernd; Zhang, Xin - In: Journal of business & economic statistics : JBES ; a … 42 (2024) 3, pp. 903-917
Persistent link: https://www.econbiz.de/10015053506
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Answering the critics : yes, arch models do provide good volatility forecasts
Andersen, Torben; Bollerslev, Tim - 1997
Persistent link: https://www.econbiz.de/10000627888