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The global minimum variance portfolio computed using the sample covariance matrix is known to be negatively affected by parameter uncertainty, an important component of model risk. Using a robust approach, we introduce a portfolio rule for investors who wish to invest in the global minimum...
Persistent link: https://www.econbiz.de/10011228180
The global minimum variance portfolio computed using the sample covariance matrix is known to be negatively affected by parameter uncertainty. Using a robust control approach, we introduce a portfolio rule for investors who wish to invest in the global minimum variance portfolio due to its...
Persistent link: https://www.econbiz.de/10010896315
This paper proposes intraday High Frequency Risk (HFR) measures for market risk in the case of irregularly spaced high-frequency data. In this context, we distinguish three concepts of value-at-risk (VaR): the total VaR, the marginal (or per-time-unit) VaR, and the instantaneous VaR. Since the...
Persistent link: https://www.econbiz.de/10010821448
This paper introduces a kernel-based nonparametric inferential procedure to test for Granger-causality in distribution. This test is a multivariate extension of the kernel-based Granger-causality test in tail-event introduced by Hong et al. (2009) and hence shares its main advantage, by checking...
Persistent link: https://www.econbiz.de/10010896312
We introduce in this paper a testing approach that allows checking whether two financial institutions are systemically equivalent, with systemic risk measured by CoVaR (Adrian and Brunnermeier, 2011). The test compares the difference in CoVaR forecasts for two financial institutions via a...
Persistent link: https://www.econbiz.de/10010896342
This paper introduces a kernel-based nonparametric inferential proce-
Persistent link: https://www.econbiz.de/10010860469
This paper investigates the global crude oil market dependence during extreme price movements. To this aim we extend the univariate Granger causality test in extreme risk developed by Hong et al. (2009) in a multivariate context. Asymptotic as well as finite sample properties are delivered....
Persistent link: https://www.econbiz.de/10010992402
This paper proposes an original procedure which allows for testing of Granger-causality for multiple risk levels across tail distributions, hence extending the procedure proposed by Hong et al. (2009). Asymptotic and finite sample properties of the test are considered. This new Granger-causality...
Persistent link: https://www.econbiz.de/10011048795
Persistent link: https://www.econbiz.de/10010934097
Persistent link: https://www.econbiz.de/10010934108