Global Liquidity and Commodity Prices – A Cointegrated VAR Approach for OECD Countries
Abstract
This paper examines the interactions between money, consumer prices and commodity prices at a global level from 1970 to 2008. Using aggregated data for major OECD countries and a cointegrating VAR framework, we are able to establish long run and short run relationships among these variables while the process is mainly driven by global liquidity. According to our empirical findings, different price elasticities in commodity and consumer goods markets can explain the recently observed overshooting of commodity over consumer prices. Although the sample period is rather long, recursive tests corroborate that our CVAR fits the data very well.Download Info
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Paper provided by Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen in its series Ruhr Economic Papers with number 0102.Length: 42 pages
Date of creation: Mar 2009
Date of revision:
Handle: RePEc:rwi:repape:0102
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Related research
Keywords: Commodity prices; cointegration; CVAR analysis; global liquidity; inflation; international spillovers;Other versions of this item:
- Ansgar Belke & Ingo Bordon & Torben Hendricks, 2010. "Global liquidity and commodity prices-a cointegrated VAR approach for OECD countries," Applied Financial Economics, Taylor and Francis Journals, vol. 20(3), pages 227-242.
- Ansgar Belke & Ingo G. Bordon & Torben W. Hendricks, 2009. "Global Liquidity and Commodity Prices: A Cointegrated VAR Approach for OECD Countries," Discussion Papers of DIW Berlin 898, DIW Berlin, German Institute for Economic Research.
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-04-25 (All new papers)
- NEP-CBA-2009-04-25 (Central Banking)
- NEP-MAC-2009-04-25 (Macroeconomics)
- NEP-MON-2009-04-25 (Monetary Economics)
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Phil Briggs & Carly Harker & Tim Ng & Aidan Yao, 2011. "Fluctuations in the international prices of oil, dairy products, beef and lamb between 2000 and 2008: A review of market-specific demand and supply factors," Reserve Bank of New Zealand Discussion Paper Series DP2011/02, Reserve Bank of New Zealand.
- Ratti, Ronald & Vespignani, Joaquin, 2012. "Liquidity and crude oil prices: China’s influence over 1996-2011," Working Papers 15062, University of Tasmania, School of Economics and Finance, revised 20 Sep 2012.
- Arora, Vipin & Tanner, Matthew, 2011.
"How important are real interest rates for oil prices?,"
MPRA Paper
35883, University Library of Munich, Germany.
- Arora, Vipin & Tanner, Matthew, 2013. "Do oil prices respond to real interest rates?," Energy Economics, Elsevier, vol. 36(C), pages 546-555.
- Ansgar Belke & Ingo G. Bordon & Ulrich Volz, 2012.
"Effects of Global Liquidity on Commodity and Food Prices,"
Discussion Papers of DIW Berlin
1199, DIW Berlin, German Institute for Economic Research.
- Ansgar Belke & Ingo Bordon & Ulrich Volz, 2012. "Effects of Global Liquidity on Commodity and Food Prices," Ruhr Economic Papers 0323, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
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