Forecasting Exchange Rates with Commodity Prices - A Global Country Analysis
Martin Baumgaertner () and
Jens Klose
Additional contact information
Martin Baumgaertner: THM Business School
Authors registered in the RePEc Author Service: Martin Baumgärtner
MAGKS Papers on Economics from Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung)
Abstract:
This paper investigates the predictive properties of import and export prices of commodities on the exchange rates. A period from 1993 to 2016 is considered. We find that forecasts of the exchange rate adding commodity export and import prices are superior to those neglecting these variables. This holds irrespective of whether the countries are net exporters or importers of commodities. However, the forecasting power was even better in the 1990s and seems to have decreased since that that time. Nevertheless forecasts can even today be improved considerably by adding commodity prices.
Keywords: Exchange Rate; Commodity Prices; Forecast; Panel-Analysis (search for similar items in EconPapers)
JEL-codes: C23 F17 F31 F47 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2018
New Economics Papers: this item is included in nep-for and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations:
Forthcoming in
Downloads: (external link)
http://www.uni-marburg.de/fb02/makro/forschung/mag ... 018_baumgaertner.pdf First 201812 (application/pdf)
Related works:
Journal Article: Forecasting exchange rates with commodity prices—a global country analysis (2019) 
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:mar:magkse:201812
Access Statistics for this paper
More papers in MAGKS Papers on Economics from Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung) Contact information at EDIRC.
Bibliographic data for series maintained by Bernd Hayo ().