Abstract

This article models the conditional mean and variance of real gross national product (GNP) and its components using asymmetric exponential generalized autoregressive conditional hetero-scedasticity, a model previously applied only to financial variables. The results imply that the variance of real GNP is higher following negative innovations than positive innovations and that this asymmetry arises in the cyclically sensitive sectors. Further evidence links this asymmetry to the phase of the business cycle: The conditional variance appears to be largest around business-cycle troughs. In addition, shocks to the conditional variance of GNP and its components typically persist for long periods. The evidence of asymmetry in conditional variance is robust to a variety of alternative specifications.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.