Extremal behaviour of models with multivariate random recurrence representation
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- Borkovec, Milan, 2000. "Extremal behavior of the autoregressive process with ARCH(1) errors," Stochastic Processes and their Applications, Elsevier, vol. 85(2), pages 189-207, February.
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- de Haan, Laurens & Resnick, Sidney I. & Rootzén, Holger & de Vries, Casper G., 1989. "Extremal behaviour of solutions to a stochastic difference equation with applications to arch processes," Stochastic Processes and their Applications, Elsevier, vol. 32(2), pages 213-224, August.
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Cited by:
- Nielsen, Heino Bohn & Rahbek, Anders, 2014.
"Unit root vector autoregression with volatility induced stationarity,"
Journal of Empirical Finance, Elsevier, vol. 29(C), pages 144-167.
- Anders Rahbek & Heino Bohn Nielsen, 2012. "Unit root vector autoregression with volatility induced stationarity," Discussion Papers 12-02, University of Copenhagen. Department of Economics.
- Anders Rahbek & Heino Bohn Nielsen, 2012. "Unit Root Vector Autoregression with volatility Induced Stationarity," CREATES Research Papers 2012-29, Department of Economics and Business Economics, Aarhus University.
- Withers, Christopher S. & Nadarajah, Saralees, 2014. "The distribution of the maximum of the multivariate AR(p) and multivariate MA(p) processes," Statistics & Probability Letters, Elsevier, vol. 95(C), pages 48-56.
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Keywords
Cluster probability Extremal index Heteroscedastic model Partial maxima Random coefficient model Autoregressive process Random recurrence equation Multivariate regular variation State space representation;Statistics
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