A bias-reduced estimator is proposed for the mean absolute deviation parameter of a median regression model. workaround devised lack smoothness in sense conventionally required general estimation. local asymptotic normality property and Bahadur--Kiefer representation suffice proving validity bias correction. The proposal developed under classical regime but, based on simulations, it seems to wo...

The ordered weighted averaging (OWA) operator uses the weights assigned to the ordered values rather than to the specific criteria. This allows one to model various aggregation preferences, preserving simultaneously the impartiality (neutrality) with respect to the individual attributes. The determination of ordered weighted averaging (OWA) operator weights is a crucial issue of applying the OW...

In this paper, we consider the problem of incorporating a wide set of real-world trading constraints to the meanvariance portfolio framework. Instead of using the mean-variance model directly, we use the equivalent Mean-Absolute Deviation (MAD) linear programming formulation. The addition of the trading constraints transforms the MAD model to a mixed-integer linear programming problem. We solve...