Modeling Asymmetric Comovements of Asset Returns.
Existing time-varying covariance models usually impose strong restrictions on how past shocks affect the forecasted covariance matrix. In this article we compare the restrictions imposed by the four most popular multivariate GARCH models, and introduce a set of robust conditional moment tests to detect misspecification. We demonstrate that the choice of a multivariate volatility model can lead to substantially different conclusions in any application that involves forecasting dynamic covariance matrices (like estimating the optimal hedge ratio or deriving the risk minimizing portfolio). We therefore introduce a general model which nests these four models and their natural 'asymmetric' extensions. The new model is applied to study the dynamic relation between large and small firm returns. Article published by Oxford University Press on behalf of the Society for Financial Studies in its journal, The Review of Financial Studies.
Year of publication: |
1998
|
---|---|
Authors: | Kroner, Kenneth F ; Ng, Victor K |
Published in: |
Review of Financial Studies. - Society for Financial Studies - SFS. - Vol. 11.1998, 4, p. 817-44
|
Publisher: |
Society for Financial Studies - SFS |
Saved in:
Saved in favorites
Similar items by person
-
Masulis, Ronald W, (1995)
-
Option Valuation with Systematic Stochastic Volatility.
Amin, Kaushik I, (1993)
-
Measuring and Testing the Impact of News on Volatility.
Engle, Robert F, (1993)
- More ...