This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Predicting gold ores price

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Kitov, Ivan

Additional information is available for the following registered author(s):

Abstract

It was demonstrated that gold ores price can be predicted at a several year horizon. The prediction consists of three steps. First, we show that the difference between producer price index and the index for gold ores is characterized by the presence of sustainable mid-term trends. Second, the evolution of the difference is predicted at a five to ten-year horizon. Considering the PPI to be practically constant over the next decade, the above difference provides a direct prediction of the price index for gold ores.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://mpra.ub.uni-muenchen.de/15873/
File Format:
File Function:
Download Restriction: no

Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 15873.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 23 Jun 2009
Date of revision:
Handle: RePEc:pra:mprapa:15873

Contact details of provider:
Postal: Schackstr. 4, D-80539 Munich, Germany
Phone: +49-(0)89-2180-2219
Fax: +49-(0)89-2180-3900
Web page: http://mpra.ub.uni-muenchen.de
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Ekkehart Schlicht).

Related research
Keywords: gold ores; prediction; PPI;

Find related papers by JEL classification:
G1 - Financial Economics - - General Financial Markets
E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? All RePEc services are meant to be be free forever, as they are all run by volunteers.

This page was last updated on 2009-11-30.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.