A semiparametric approach to value-at-risk, expected shortfall and optimum asset allocation in stock–bond portfolios
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DOI: 10.1016/j.econmod.2014.07.010
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Cited by:
- Mustafa Demirel & Gazanfer Unal, 2020. "Applying multivariate-fractionally integrated volatility analysis on emerging market bond portfolios," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
- Jaworski, Piotr & Liberadzki, Kamil & Liberadzki, Marcin, 2017. "How does issuing contingent convertible bonds improve bank's solvency? A Value-at-Risk and Expected Shortfall approach," Economic Modelling, Elsevier, vol. 60(C), pages 162-168.
- Lord Mensah, 2016. "Asset Allocation Brewed Accross African Stock Markets," Proceedings of Economics and Finance Conferences 3205757, International Institute of Social and Economic Sciences.
- Fang, Libing & Yu, Honghai & Li, Lei, 2017. "The effect of economic policy uncertainty on the long-term correlation between U.S. stock and bond markets," Economic Modelling, Elsevier, vol. 66(C), pages 139-145.
- Lourme, Alexandre & Maurer, Frantz, 2017. "Testing the Gaussian and Student's t copulas in a risk management framework," Economic Modelling, Elsevier, vol. 67(C), pages 203-214.
- Minoru Tachibana, 2020. "Flight-to-quality in the stock–bond return relation: a regime-switching copula approach," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(4), pages 429-470, December.
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Keywords
Copula; Semiparametric method; Value-at-risk; Investment decision;All these keywords.
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