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Contribution Details
Type | Book Chapter |
Scope | Discipline-based scholarship |
Title | COBra: Copula-Based Portfolio Optimization |
Organization Unit | |
Authors |
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Editors |
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Item Subtype | Original Work |
Refereed | Yes |
Status | Published in final form |
Language |
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Booktitle | Predictive Econometrics and Big Data |
Series Name | Studies in Computational Intelligence |
ISBN | 978-3-319-70941-3 |
Number | 753 |
Place of Publication | Cham |
Publisher | Springer International Publishing |
Page Range | 36 - 77 |
Date | 2018 |
Abstract Text | The meta-elliptical t copula with noncentral t GARCH univariate margins is studied as a model for asset allocation. A method of parameter estimation is deployed that is nearly instantaneous for large dimensions. The expected shortfall of the portfolio distribution is obtained by combining simulation with a parametric approximation for speed enhancement. A simulation-based method for mean-expected shortfall portfolio optimization is developed. An extensive out-of-sample backtest exercise is conducted and comparisons made with common asset allocation techniques. |
Related URLs | |
Digital Object Identifier | 10.1007/978-3-319-70942-0_3 |
Other Identification Number | merlin-id:19981 |
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