A Practical Way to Assess the Confidence Level of a Manager in a Black and Litterman Model
18 Pages Posted: 6 Oct 2011
Date Written: September 6, 2011
Abstract
The aim of this paper is to propose an alternative way to determine the well known confidence parameter c in the Black-Litterman (BL) asset allocation model. Starting at t0 and considering a dynamic BL optimization over time we are able to build a manager confidence function that sets the c value upon the manager’s views. We’ll explain that an endogenous confidence parameter solves the old problem to require views to the manager, together with their ex-ante strength. Following this way we attain a BL model with a reduction of manager’s inputs, without losing the benefits of the BL approach.
Keywords: Black Litterman, confidence, asset allocation
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