Multivariate elliptically contoured autoregressive process

Autor: Taras Bodnar, Arjun K. Gupta
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: Statistica, Vol 73, Iss 3, Pp 303-316 (2014)
Druh dokumentu: article
ISSN: 0390-590X
1973-2201
DOI: 10.6092/issn.1973-2201/4326
Popis: In this paper, we introduce a new class of elliptically contoured processes. The suggested process possesses both the generality of the conditional heteroscedastic autoregressive process and the elliptical symmetry of the elliptically contoured distributions. In the empirical study we find the link between the conditional time varying behavior of the covariance matrix of the returns and the time variability of the investor’s coefficient of risk aversion. Moreover, it is shown that the non-diagonal elements of the dispersion matrix are slowly varying in time.
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