International Macroeconomic Dynamics: A Factor Vector Autoregressive Approach

Fabio Bagliano and Claudio Morana

No 32, Carlo Alberto Notebooks from Collegio Carlo Alberto

Abstract: In this paper international comovements among a set of key real and nominal macroeconomic variables for the G-7 countries have been investigated for the 1980- 2005 period, using a Factor Vector Autoregressive approach. We present evidence that comovements in macroeconomic variables do not concern only real activity, but are an important feature also of stock market returns, in‡ation rates, interest rates and, to a smaller extent, monetary aggregates. Both common sources of shocks and similar transmission mechanisms explain international comovements, with the only exception of Japan, where the idiosyncratic features seem to dominate. Finally, concerning the origin of global shocks, evidence of both global supply-side and demand-side disturbances is found.

Keywords: G7; international business cycle; factor vector autoregressive models; common factors. (search for similar items in EconPapers)
JEL-codes: C22 E31 E32 (search for similar items in EconPapers)
Pages: 41 pages
Date: 2006
New Economics Papers: this item is included in nep-ets and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.carloalberto.org/wp-content/uploads/2018/11/no.32.pdf (application/pdf)

Related works:
Journal Article: International macroeconomic dynamics: A factor vector autoregressive approach (2009)
Working Paper: International Macroeconomic Dynamics: a Factor Vector Autoregressive Approach (2006)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cca:wpaper:32

Access Statistics for this paper

More papers in Carlo Alberto Notebooks from Collegio Carlo Alberto Contact information at EDIRC.
Bibliographic data for series maintained by Giovanni Bert ().