|Appears in Collections:||Economics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Asset prices, credit and the business cycle|
Multivariate unobserved components models
|Citation:||Chen X, Kontonikas A & Montagnoli A (2012) Asset prices, credit and the business cycle. Economics Letters, 117 (3), pp. 857-861. https://doi.org/10.1016/j.econlet.2012.08.040|
|Abstract:||This paper uses the multivariate unobserved components model with phase shifts to analyse the interaction of interest rates, output, asset prices and credit in the US. We find close linkages amongst cyclical fluctuations in the variables.|
|Rights:||Published in Economics Letters by Elsevier; Elsevier believes that individual authors should be able to distribute their accepted author manuscripts for their personal voluntary needs and interests, e.g. posting to their websites or their institution’s repository, e-mailing to colleagues. The Elsevier Policy is as follows: Authors retain the right to use the accepted author manuscript for personal use, internal institutional use and for permitted scholarly posting provided that these are not for purposes of commercial use or systematic distribution. An "accepted author manuscript" is the author’s version of the manuscript of an article that has been accepted for publication and which may include any author-incorporated changes suggested through the processes of submission processing, peer review, and editor-author communications.|
|CKM_revision_v3.pdf||Fulltext - Accepted Version||435.9 kB||Adobe PDF||View/Open|
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.