Modeling dynamics of metal price series via state space approach with two common factors
Vasyl Golosnoy and
Anja Rossen
Empirical Economics, 2018, vol. 54, issue 4, No 4, 1477-1501
Abstract:
Abstract In this paper, we model the dynamics of 100 years long monthly price series of eight nonferrous and precious metals. Applying the state space framework, we impose and identify two common factors related to nonferrous and precious metals, respectively, which exhibit quite distinct autoregressive dynamics. The preferred two common factor specifications outperform single common factor approaches, especially in the second half of the sample. Furthermore, we provide an interpretation for the extracted common factors by investigating their exposure to the major macroeconomic fundamentals.
Keywords: Kalman filter; Nonferrous metals; Precious metals; State space models (search for similar items in EconPapers)
JEL-codes: C32 C52 E30 F00 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s00181-017-1267-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:empeco:v:54:y:2018:i:4:d:10.1007_s00181-017-1267-9
Ordering information: This journal article can be ordered from
http://www.springer. ... rics/journal/181/PS2
DOI: 10.1007/s00181-017-1267-9
Access Statistics for this article
Empirical Economics is currently edited by Robert M. Kunst, Arthur H.O. van Soest, Bertrand Candelon, Subal C. Kumbhakar and Joakim Westerlund
More articles in Empirical Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().