Interest rate spreads and output: A time scale decomposition analysis using wavelets

Marco Gallegati, James B. Ramsey and Willi Semmler

Computational Statistics & Data Analysis, 2014, vol. 76, issue C, 283-290

Abstract: The information content of several interest rate spreads for future output growth is analyzed using wavelet analysis. The “scale-by-scale” regression analysis shows that standard indicators of the stance of monetary policy, such as the shape of the yield curve, the real federal funds rate, and the credit spread have different information content for future output at different time frames. This is consistent with the idea that allowing for different time scales of variation in the data can provide a deeper understanding of the complex dynamics between real and financial variables, certainly richer than those obtainable using standard aggregate regression methods.

Keywords: Wavelets; Time scales; Interest rate spreads; Output growth (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167947314000644
Full text for ScienceDirect subscribers only.

Related works:
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:eee:csdana:v:76:y:2014:i:c:p:283-290

DOI: 10.1016/j.csda.2014.02.024

Access Statistics for this article

Computational Statistics & Data Analysis is currently edited by S.P. Azen

More articles in Computational Statistics & Data Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().