This paper proposes a regularisation method for the estimation of large covariance matrices that uses insights from the multiple testing (MT) literature. The approach tests the statistical significance of individual pair-wise correlations and sets to zero those elements that are not...

This paper studies whether the monotonicity condition of the investment-cash flow sensitivity is satisfied empirically. We show that if this condition holds, then the point of sample separation does not affect the monotonic relationship between the sensitivities of any two complementary classes...

A new test is proposed for the null of absence of serial correlation. The test uses a data-driven smoothing parameter. The resulting test statistic has a standard limit distribution under the null. The smoothing parameter is calibrated to achieve rate-optimality against several classes of...