multiple testing (MT) estimator to a number of thresholding and shrinkage estimators in the literature in a detailed Monte …This paper proposes a novel regularisation method for the estimation of large covariance matrices, which makes use of … theoretical constant arising in the rate of convergence of existing thresholding estimators. We compare the performance of our …

This paper proposes a regularisation method for the estimation of large covariance matrices that uses insights from the … of estimating the theoretical constant arising in the rate of convergence of existing thresholding estimators, and hence … it is easy to implement and does not require cross-validation. The MT estimator of the sample correlation matrix is shown …

multiple testing (MT) estimator to a number of thresholding and shrinkage estimators in the literature in a detailed Monte …This paper proposes a novel regularisation method for the estimation of large covariance matrices, which makes use of … theoretical constant arising in the rate of convergence of existing thresholding estimators. We compare the performance of our …

This paper introduces a test for zero correlation in situations where the correlation matrix is large compared to the … sample size. The test statistic is the sum of the squared correlation coefficients in the sample. We derive its limiting null … credit risk, in different sectors of the German economy. -- testing correlation ; n-p-asymptotics ; portfolio credit risk …

multiple testing (MT) estimator to a number of thresholding and shrinkage estimators in the literature in a detailed Monte …This paper proposes a novel regularisation method for the estimation of large covariance matrices, which makes use of … theoretical constant arising in the rate of convergence of existing thresholding estimators. We compare the performance of our …