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Optimal Portfolios When Variances and Covariances Can Jump
Branger, Nicole; Muck, Matthias; Seifried, Frank; u. a. (2017): Optimal Portfolios When Variances and Covariances Can Jump, in: Journal of economic dynamics & control, Amsterdam: North-Holland Publ. Co., Jg. 85, S. 59–89, doi: 10.1016/j.jedc.2017.09.008.
Faculty/Chair:
Author:
Title of the Journal:
Journal of economic dynamics & control
ISSN:
0165-1889
Publisher Information:
Year of publication:
2017
Volume:
85
Pages:
Language:
English
Abstract:
We analyze the optimal portfolio choice in a multi-asset Wishart-model in which return variances and correlations are stochastic and subject to jump risk. The optimal portfolio is characterized by the positions in stock diffusion risk, variance-covariance diffusion risk, and jump risk. We find that including jumps in the second moments changes the optimal positions and particularly variance-covariance hedging demands significantly. Erroneously omitting these jumps gives rise to substantial model risk. Furthermore, variance-covariance jump risk can have a significant impact on potential utility gains when the market is completed by adding derivatives. As a robustness check, we compare our results to those obtained for other parametrizations of Wishart-models from the literature as well as to various single-asset models.
Keywords: ;  ;  ;  ; 
Optimal portfolio choice
Jump risk
Covariance jumps
Wishart process
Derivatives
Peer Reviewed:
Yes:
International Distribution:
Yes:
Type:
Article
Activation date:
December 7, 2017
Permalink
https://fis.uni-bamberg.de/handle/uniba/42907