Premium
Dynamic density forecasts for multivariate asset returns
Author(s) -
Polanski Arnold,
Stoja Evarist
Publication year - 2011
Publication title -
journal of forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.543
H-Index - 59
eISSN - 1099-131X
pISSN - 0277-6693
DOI - 10.1002/for.1192
Subject(s) - multivariate statistics , econometrics , range (aeronautics) , joint probability distribution , polynomial , asset (computer security) , set (abstract data type) , computer science , mathematics , statistics , mathematical analysis , materials science , computer security , composite material , programming language
We propose a simple and flexible framework for forecasting the joint density of asset returns. The multinormal distribution is augmented with a polynomial in (time‐varying) non‐central co‐moments of assets. We estimate the coefficients of the polynomial via the method of moments for a carefully selected set of co‐moments. In an extensive empirical study, we compare the proposed model with a range of other models widely used in the literature. Employing a recently proposed as well as standard techniques to evaluate multivariate forecasts, we conclude that the augmented joint density provides highly accurate forecasts of the ‘negative tail’ of the joint distribution. Copyright © 2010 John Wiley & Sons, Ltd.