IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Commodity Prices and BRIC and G3 Liquidity: A SFAVEC Approach

Listed author(s):

This paper investigates the influence of liquidity in the major developed and major developing economies on commodity prices. Unanticipated increases in the BRIC countries? liquidity is associated with significant and persistent increases in commodity prices that are much larger than the effect of unanticipated increases in G3 liquidity, and the difference increases over time. Over 1999-2012 BRIC liquidity is strongly linked with global energy prices and global real activity whereas G3 liquidity is not. The impact of BRIC liquidity on mineral and metal prices is twice as large as that of G3 liquidity. BRIC liquidity is significantly connected with global tightening while G3 liquidity is not. Granger casualty goes from liquidity to commodity prices. BRIC and G3 liquidity and commodity prices are cointegrated. BRIC and G3 liquidity and global output and global prices are cointegrated. We constructed a structural factor-augmented error correction (SFAVEC) model.

If you experience problems downloading a file, check if you have the proper application to view it first. 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://eprints.utas.edu.au/17096/1/2013-08_Commodity_Prices_and_BRIC_and_G3_Liquidity_A_SFAVEC_Approach_(Final).pdf
Download Restriction: no

Paper provided by University of Tasmania, Tasmanian School of Business and Economics in its series Working Papers with number 17096.

as
in new window

Length: 31 pages
Date of creation: 09 Jan 2013
Date of revision: 09 Jan 2013
Publication status: Published by the University of Tasmania. Discussion paper 2013-08
Handle: RePEc:tas:wpaper:17096
Contact details of provider: Postal:
Private Bag 85, Hobart, Tasmania 7001

Phone: +61 3 6226 7672
Fax: +61 3 6226 7587
Web page: http://www.utas.edu.au/business-and-economics

More information through EDIRC

References listed on IDEAS
Please 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.:

as
in new window

  1. Browne, Frank & Cronin, David, 2006. "Commodity Prices, Money and Inflation," Research Technical Papers 16/RT/06, Central Bank of Ireland.
  2. Stephane Dees & Filippo di Mauro & M. Hashem Pesaran & L. Vanessa Smith, 2004. "Exploring the International Linkages of the Euro Area: A Global VAR Analysis," IEPR Working Papers 04.6, Institute of Economic Policy Research (IEPR).
  3. Robert B. Barsky & Lutz Kilian, 2001. "Do We Really Know that Oil Caused the Great Stagflation? A Monetary Alternative," NBER Working Papers 8389, National Bureau of Economic Research, Inc.
  4. Daniel L. Thornton, 2008. "Monetary policy: why money matters and interest rates don't," Working Papers 2008-011, Federal Reserve Bank of St. Louis.
  5. Fabrizio Perri & Vincenzo Quadrini, 2011. "International recessions," Staff Report 463, Federal Reserve Bank of Minneapolis.
  6. Dieter Gerdesmeier & Hans‐Eggert Reimers & Barbara Roffia, 2010. "Asset Price Misalignments and the Role of Money and Credit," International Finance, Wiley Blackwell, vol. 13(3), pages 377-407, Winter.
  7. Ratti, Ronald A. & Vespignani, Joaquin L., 2013. "Why are crude oil prices high when global activity is weak?," Economics Letters, Elsevier, vol. 121(1), pages 133-136.
  8. Francesco Belviso & Fabio Milani, 2005. "Structural Factor-Augmented VAR (SFAVAR) and the Effects of Monetary Policy," Macroeconomics 0503023, EconWPA.
  9. Lance J. Bachmeier & Norman R. Swanson, 2005. "Predicting Inflation: Does The Quantity Theory Help?," Economic Inquiry, Western Economic Association International, vol. 43(3), pages 570-585, July.
  10. Chetan Dave & Scott J. Dressler & Lei Zhang, 2009. "The Bank Lending Channel: a FAVAR Analysis," Villanova School of Business Department of Economics and Statistics Working Paper Series 4, Villanova School of Business Department of Economics and Statistics.
  11. Christopher A. Sims, 2002. "The Role of Models and Probabilities in the Monetary Policy Process," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 1-62.
  12. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-276, March.
  13. Mackinnon, J.G. & Haug, A.A. & Michelis, L., 1996. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," G.R.E.Q.A.M. 96a09, Universite Aix-Marseille III.
  14. Luis A.V. Catão & Adrian Pagan, 2011. "The Credit Channel and Monetary Transmission in Brazil and Chile: A Structured VAR Approach," Central Banking, Analysis, and Economic Policies Book Series, in: Luis Felipe Céspedes & Roberto Chang & Diego Saravia (ed.), Monetary Policy under Financial Turbulence, edition 1, volume 16, chapter 5, pages 105-144 Central Bank of Chile.
  15. Sousa, Joao Miguel & Zaghini, Andrea, 2006. "Global monetary policy shocks in the G5: A SVAR approach," CFS Working Paper Series 2006/30, Center for Financial Studies (CFS).
  16. Marco Lombardi & Chiara Osbat & Bernd Schnatz, 2012. "Global commodity cycles and linkages: a FAVAR approach," Empirical Economics, Springer, vol. 43(2), pages 651-670, October.
  17. Fernald, John G. & Spiegel, Mark M. & Swanson, Eric T., 2014. "Monetary policy effectiveness in China: evidence from a FAVAR model," Working Paper Series 2014-7, Federal Reserve Bank of San Francisco.
  18. Pesaran, M. H. & Shin, Y., 1997. "Generalised Impulse Response Analysis in Linear Multivariate Models," Cambridge Working Papers in Economics 9710, Faculty of Economics, University of Cambridge.
  19. Antonello D'Agostino & Paolo Surico, 2009. "Does Global Liquidity Help to Forecast U.S. Inflation?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 479-489, 03.
  20. Forni, Mario & Gambetti, Luca, 2008. "The Dynamic Effects of Monetary Policy: A Structural Factor Model Approach," CEPR Discussion Papers 7098, C.E.P.R. Discussion Papers.
  21. Ben S. Bernanke, 1986. "Alternative Explanations of the Money-Income Correlation," NBER Working Papers 1842, National Bureau of Economic Research, Inc.
  22. Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2015. "What Drives Oil Prices? Emerging Versus Developed Economies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1013-1028, November.
  23. Lutz Kilian & Bruce Hicks, 2013. "Did Unexpectedly Strong Economic Growth Cause the Oil Price Shock of 2003–2008?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(5), pages 385-394, 08.
  24. Beyer, Andreas & Doornik, Jurgen A & Hendry, David F, 2001. "Constructing Historical Euro-Zone Data," Economic Journal, Royal Economic Society, vol. 111(469), pages 102-121, February.
  25. Ansgar Belke & Ingo Bordon & Ulrich Volz, 2012. "Effects of Global Liquidity on Commodity and Food Prices," ROME Working Papers 201201, ROME Network.
  26. Ron Alquist & Lutz Kilian, 2010. "What do we learn from the price of crude oil futures?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 539-573.
  27. Byrne, Joseph P. & Fazio, Giorgio & Fiess, Norbert, 2013. "Primary commodity prices: Co-movements, common factors and fundamentals," Journal of Development Economics, Elsevier, vol. 101(C), pages 16-26.
  28. Jean Boivin & Serena Ng, 2003. "Are More Data Always Better for Factor Analysis?," NBER Working Papers 9829, National Bureau of Economic Research, Inc.
  29. Rüffer, Rasmus & Stracca, Livio, 2006. "What is global excess liquidity, and does it matter?," Working Paper Series 0696, European Central Bank.
  30. David B. Gordon & Eric M. Leeper, 1992. "The dynamic impacts of monetary policy: an exercise in tentative identification," FRB Atlanta Working Paper 92-13, Federal Reserve Bank of Atlanta.
  31. Barsky, Robert & Kilian, Lutz, 2004. "Oil and the Macroeconomy Since the 1970s," CEPR Discussion Papers 4496, C.E.P.R. Discussion Papers.
  32. Humphreys, David, 2010. "The great metals boom: A retrospective," Resources Policy, Elsevier, vol. 35(1), pages 1-13, March.
  33. Ansgar Belke & Walter Orth & Ralph Setzer, 2009. "Liquidity and the Dynamic Pattern of Asset Price Adjustment: A Global View," Discussion Papers of DIW Berlin 933, DIW Berlin, German Institute for Economic Research.
  34. Gary Koop & Dimitris Korobilis, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Working Paper Series 47_09, The Rimini Centre for Economic Analysis.
  35. Cheung, Yin-Wong & Lai, Kon S. & Bergman, Michael, 2004. "Dissecting the PPP puzzle: the unconventional roles of nominal exchange rate and price adjustments," Journal of International Economics, Elsevier, vol. 64(1), pages 135-150, October.
  36. Matthew T. Holt & Andrew M. McKenzie, 2003. "Quasi-rational and ex ante price expectations in commodity supply models: an empirical analysis of the US broiler market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 407-426.
  37. Til Schuermann & Björn-Jakob Treutler & Scott M. Weiner & M. Hashem Pesaran, 2003. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," CESifo Working Paper Series 995, CESifo Group Munich.
  38. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  39. Christopher A. Sims & Tao Zha, 1998. "Does monetary policy generate recessions?," FRB Atlanta Working Paper 98-12, Federal Reserve Bank of Atlanta.
  40. Garratt, Anthony & Koop, Gary & Mise, Emi & Vahey, Shaun P., 2009. "Real-Time Prediction With U.K. Monetary Aggregates in the Presence of Model Uncertainty," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 480-491.
  41. Dungey, Mardi & Fry-McKibbin, Renée & Linehan, Verity, 2013. "Chinese resource demand and the natural resource supplier," Working Papers 17027, University of Tasmania, Tasmanian School of Business and Economics, revised 01 Jul 2013.
  42. Sylvain Leduc & Keith Sill, 2001. "A quantitative analysis of oil-price shocks, systematic monetary policy, and economic downturns," Working Papers 01-9, Federal Reserve Bank of Philadelphia.
  43. Radetzki, Marian, 2006. "The anatomy of three commodity booms," Resources Policy, Elsevier, vol. 31(1), pages 56-64, March.
  44. Sophie Brana & Marie-Louise Djigbenou & Stéphanie Prat, 2012. "Global excess liquidity and asset prices in emerging countries: a pvar approach," Larefi Working Papers 1203, Larefi, Université Bordeaux 4.
  45. Marvin Goodfriend & Eswar Prasad, 2007. "A Framework for Independent Monetary Policy in China," CESifo Economic Studies, CESifo, vol. 53(1), pages 2-41, March.
  46. Grier, Kevin B. & Smallwood, Aaron D., 2013. "Exchange rate shocks and trade: A multivariate GARCH-M approach," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 282-305.
  47. Frankel, Jeffrey A & Hardouvelis, Gikas A, 1985. "Commodity Prices, Money Surprises and Fed Credibility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 17(4), pages 425-438, November.
  48. Simon Gilchrist & Vladimir Yankov & Egon Zakrajsek, 2009. "Credit Market Shocks and Economic Fluctuations: Evidence from Corporate Bond and Stock Markets," NBER Working Papers 14863, National Bureau of Economic Research, Inc.
  49. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
  50. Ono, Shigeki, 2013. "The effects of foreign exchange and monetary policies in Russia," Economic Systems, Elsevier, vol. 37(4), pages 522-541.
  51. Hyun J. Jin & Darren L. Frechette, 2004. "Fractional Integration in Agricultural Futures Price Volatilities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 432-443.
  52. Kim, Soyoung & Roubini, Nouriel, 2000. "Exchange rate anomalies in the industrial countries: A solution with a structural VAR approach," Journal of Monetary Economics, Elsevier, vol. 45(3), pages 561-586, June.
  53. Alessio Anzuini & Marco J. Lombardi & Patrizio Pagano, 2012. "The impact of monetary policy shocks on commodity prices," Temi di discussione (Economic working papers) 851, Bank of Italy, Economic Research and International Relations Area.
  54. Reginald Darius, 2010. "Can Global Liquidity Forecast Asset Prices?," IMF Working Papers 10/196, International Monetary Fund.
  55. Ivan Roberts & Anthony Rush, 2010. "Sources of Chinese Demand for Resource Commodities," RBA Research Discussion Papers rdp2010-08, Reserve Bank of Australia.
  56. Beckmann, Joscha & Belke, Ansgar & Czudaj, Robert, 2014. "Does global liquidity drive commodity prices?," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 224-234.
  57. Hamilton, James D & Herrera, Ana Maria, 2004. "Oil Shocks and Aggregate Macroeconomic Behavior: The Role of Monetary Policy: Comment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(2), pages 265-286, April.
  58. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
  59. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 1997. "Monetary policy shocks: what have we learned and to what end?," Working Paper Series, Macroeconomic Issues WP-97-18, Federal Reserve Bank of Chicago.
  60. Garratt, Anthony & Lee, Kevin & Pesaran, M. Hashem & Shin, Yongcheol, 2006. "Global and National Macroeconometric Modelling: A Long-Run Structural Approach," OUP Catalogue, Oxford University Press, number 9780199296859, December.
  61. Swanson, Norman R., 1998. "Money and output viewed through a rolling window," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 455-474, May.
  62. Favero, Carlo A., 2013. "Modelling and forecasting government bond spreads in the euro area: A GVAR model," Journal of Econometrics, Elsevier, vol. 177(2), pages 343-356.
  63. Kim, Soyoung, 2001. "International transmission of U.S. monetary policy shocks: Evidence from VAR's," Journal of Monetary Economics, Elsevier, vol. 48(2), pages 339-372, October.
  64. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 120(1), pages 387-422.
  65. Hyeyoen Kim & Mark P. Taylor, 2012. "Large Datasets, Factor‐augmented and Factor‐only Vector Autoregressive Models, and the Economic Consequences of Mrs Thatcher," Economica, London School of Economics and Political Science, vol. 79(314), pages 378-410, 04.
  66. Fawley, Brett W. & Neely, Christopher J., 2014. "The evolution of Federal Reserve policy and the impact of monetary policy surprises on asset prices," Review, Federal Reserve Bank of St. Louis, vol. 96(1), pages 73-109.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:tas:wpaper:17096. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Vitali Alexeev)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.