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Two shrinkage estimators for the global minimum variance portfolio that dominate the traditional estimator with respect to the out-of-sample variance of the portfolio return are derived. The presented results hold for any number of observations n = d 2 and number of assets d = 4. The...
Persistent link: https://www.econbiz.de/10010298777
In this paper, we derive two shrinkage estimators for the global minimum variance portfolio that dominate the traditional estimator with respect to the out-of-sample variance of the portfolio return. The presented results hold for any number of observations n ≥ d + 2 and number of assets d ≥...
Persistent link: https://www.econbiz.de/10010304421
The minimisation of the return variance is one of the classical topics of portfolio theory. One of the main difficulties of variance minimisation is the neccessary input factors- variances and covariances- of the assets of the investment universe- are unknown. Often these variances and...
Persistent link: https://www.econbiz.de/10005866279
Persistent link: https://www.econbiz.de/10008840478
In this paper, we derive two shrinkage estimators for the global minimum variance portfolio that dominate the traditional estimator with respect to the out-of-sample variance of the portfolio return. The presented results hold for any number of observations d + 2 and number of assets d 4. The...
Persistent link: https://www.econbiz.de/10003813018
In this paper, we derive two shrinkage estimators for the global minimum variance portfolio that dominate the traditional estimator with respect to the out-of-sample variance of the portfolio return. The presented results hold for any number of observations n ≥ d + 2 and number of assets d ≥...
Persistent link: https://www.econbiz.de/10008937252
In this paper, we derive two shrinkage estimators for minimum-variance portfolios that dominate the traditional estimator with respect to the out-of-sample variance of the portfolio return. The presented results hold for any number of assets d =4 and number of observations n =d 2. The...
Persistent link: https://www.econbiz.de/10013136883
Two shrinkage estimators for the global minimum variance portfolio that dominate the traditional estimator with respect to the out-of-sample variance of the portfolio return are derived. The presented results hold for any number of observations n = d 2 and number of assets d = 4. The...
Persistent link: https://www.econbiz.de/10012989264
Two shrinkage estimators for the global minimum variance portfolio that dominate the traditional estimator with respect to the out-of-sample variance of the portfolio return are derived. The presented results hold for any number of observations n = d 2 and number of assets d = 4. The...
Persistent link: https://www.econbiz.de/10005082766
In this paper, we derive two shrinkage estimators for minimum-variance portfolios that dominate the traditional estimator with respect to the out-of-sample variance of the portfolio return. The presented results hold for any number of assets and number of observations . The small-sample...
Persistent link: https://www.econbiz.de/10010583454