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Are there asymmetric relations between real interest rates and agricultural commodity prices? Testing for threshold effects of US real interest rates and adjusted wheat, corn, and soybean prices

  • Bente Castro CamposEmail author
Article

Abstract

This article analyzes whether there are asymmetric relations between real interest rates and agricultural commodity prices using quarterly data of US interest rates and agricultural commodity prices over the period of 1983q1–2014q4. While the literature has identified statistically significant negative relations between real interest rates and agricultural commodity prices, this article extends the analysis by testing for threshold effects using Hansen’s (J Econom 93(2):345–368.  https://doi.org/10.1016/S0304-4076(99)00025-1, 1999) fixed-effect panel threshold model and testing procedure. The empirical results indicate that real interest rates and agricultural commodity prices follow a U-shaped relationship, with − 1.45 being the turning point from negative to positive effects. Specifically, if real interest rates below the threshold of − 1.45 are increased by 1%, agricultural commodity prices will decrease by 8.1%, and if real interest rates are equal or above − 1.45 and are increased by 1%, agricultural commodity prices will increase by 3.4%. As the literature suggests an inverse proportional relation between real interest rates and agricultural commodity prices, a theoretical explanation for this phenomenon has yet to be found but is probably related to assumptions about market participants’ expectations and risk behavior.

Keywords

Negative real interest rates Agricultural commodity prices Fixed-effect panel threshold model 

JEL Classification

E43 Q002 C24 

Notes

Acknowledgements

I thank Thomas Bittmann for gathering the data for this article. I am very grateful to Jeffrey Frankel, James Vercammen, David Roodman, and Jens-Peter Loy for useful comments. I also would like to thank the anonymous referee for useful comments and suggestions on the development of this paper. Last but not least, I thank Edward Yiu for giving me the inspiration for writing this article. The usual disclaimer applies.

Compliance with ethical standards

Conflict of interest

Bente Castro Campos declares that she has no conflict of interest.

Human and animal rights

This article does not contain any studies with human participants or animals performed by the author.

References

  1. Barsky RB, Kilian L (2004) Oil and the Macroeconomy since the 1970s. J Econ Perspect 18(4):115–134.  https://doi.org/10.1257/0895330042632708 Google Scholar
  2. Bick A (2010) Threshold effects of inflation on economic growth in developing countries. Econ Lett 108(2):126–129.  https://doi.org/10.1016/j.econlet.2010.04.040 Google Scholar
  3. Bordo MD (1980) The effects of monetary change on relative commodity prices and the role of long-term contracts. J Polit Econ 88(6):1088–1109Google Scholar
  4. Caner M, Hansen BE (2004) Instrumental variable estimation of a threshold model. Econom Theory 20(5):813–843.  https://doi.org/10.1017/S0266466604205011 Google Scholar
  5. Chen S-T, Kuo H-I, Chen C-C (2010) Modeling the relationship between the oil price and global food prices. Appl Energy 87(8):2517–2525.  https://doi.org/10.1016/j.apenergy.2010.02.020 Google Scholar
  6. Dickey DA, Fuller WA (1979) Distribution of the estimators for autoregressive time series with a unit root. J Am Stat Assoc 74(366a):427–431.  https://doi.org/10.1080/01621459.1979.10482531 Google Scholar
  7. Dickey DA, Fuller WA (1981) Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica 49(4):1057–1072.  https://doi.org/10.2307/1912517 Google Scholar
  8. Dornbusch R (1976) Expectations and exchange rate dynamics. J Polit Econ 84(6):1161–1176Google Scholar
  9. Foster N (2006) Exports, growth and threshold effects in Africa. J Dev Stud 42(6):1056–1074.  https://doi.org/10.1080/00220380600775027 Google Scholar
  10. Frankel JA (1984) Commodity prices and money: lessons from international finance. Am J Agric Econ 66(5):560–566.  https://doi.org/10.2307/1240954 Google Scholar
  11. Frankel JA (2006) The effect of monetary policy on real commodity prices. NBER working paper series. Working paper 12713. http://www.nber.org/papers/w12713. Accessed 5 April 2017
  12. Frankel J (2008) The effect of monetary policy on real commodity prices. In: Campbell J (ed) Chapter 7 in asset prices and monetary policy. Chicago Press, Chicago, pp 291–327Google Scholar
  13. Frankel JA (2014) Effects of speculation and interest rates in a ‘carry trade’ model of commodity prices. J Int Money Finance Underst Int Commod Price Fluct 42(April):88–112.  https://doi.org/10.1016/j.jimonfin.2013.08.006 Google Scholar
  14. Hansen BE (1997) Approximate asymptotic p values for structural-change tests. J Bus Econ Stat 15(1):60–67.  https://doi.org/10.1080/07350015.1997.10524687 Google Scholar
  15. Hansen BE (1999) Threshold effects in non-dynamic panels: estimation, testing, and inference. J Econom 93(2):345–368.  https://doi.org/10.1016/S0304-4076(99)00025-1 Google Scholar
  16. Hansen BE (2000) Sample splitting and threshold estimation. Econometrica 68(3):575–603.  https://doi.org/10.1111/1468-0262.00124 Google Scholar
  17. Hsu K-C, Chiang H-C (2011) The threshold effects of exchange rate volatility on exports: evidence from us bilateral exports. J Int Trade Econ Dev 20(1):113–128 (ISSN 0963-8199) Google Scholar
  18. Irwin SH, Sanders DR, Merrin RP (2009) Devil or angel? The role of speculation in the recent commodity price boom (and bust). J Agric Appl Econ 41(2):377–391Google Scholar
  19. Keynes JM (1930) A treatise on money, vol 2. Macmillan, LondonGoogle Scholar
  20. Khan MS, Ssnhadji AS (2001) threshold effects in the relationship between inflation and growth. IMF Staff Pap 48(1):1–21.  https://doi.org/10.2307/4621658 Google Scholar
  21. Kremer S, Bick A, Nautz D (2013) Inflation and growth: new evidence from a dynamic panel threshold analysis. Empir Econ 44(2):861–878.  https://doi.org/10.1007/s00181-012-0553-9 Google Scholar
  22. Law SH, Singh N (2014) Does too much finance harm economic growth? J Bank Finance 41(April):36–44.  https://doi.org/10.1016/j.jbankfin.2013.12.020 Google Scholar
  23. Nautz D, Scharff J (2012) Inflation and relative price variability in the euro area: evidence from a panel threshold model. Appl Econ 44(4):449–460.  https://doi.org/10.1080/00036846.2010.508729 Google Scholar
  24. Nazlioglu S (2011) World oil and agricultural commodity prices: evidence from nonlinear causality. Energy Policy 39(5):2935–2943.  https://doi.org/10.1016/j.enpol.2011.03.001 Google Scholar
  25. Ndoricimpa A (2017) Threshold effects of inflation on economic growth: is Africa different? Int Econ J 31(4):599–620.  https://doi.org/10.1080/10168737.2017.1380679 Google Scholar
  26. Okun AM, Fellner W, Wachter M (1975) Inflation: its mechanics and welfare costs. Brook Pap Econ Act 1975(2):351.  https://doi.org/10.2307/2534106 Google Scholar
  27. Pan H, Wang C (2013) House prices, bank instability, and economic growth: evidence from the threshold model. J Bank Finance 37(5):1720–1732 (ISSN 0378-4266) Google Scholar
  28. Robles M, Torero M, von Braun J (2009) When speculation matters. IFPRI Issue Brief 57. http://www.cftc.gov/ucm/groups/public/@swaps/documents/file/plstudy_40_ifpri.pdf. Accessed 20 Feb 2015
  29. Schuh GE (1974) The exchange rate and U. S. agriculture. Am J Agric Econ 56(1):1.  https://doi.org/10.2307/1239342 Google Scholar
  30. Scrimgeour D (2010) Commodity price responses to monetary policy surprises. http://commons.colgate.edu/econ_facschol/11. Accessed 2 March 2017
  31. Tadesse G, Algieri B, Kalkuhl M, von Braun J (2014) Drivers and triggers of international food price spikes and volatility. Food Policy 47:117–128.  https://doi.org/10.1016/j.foodpol.2013.08.014 Google Scholar
  32. Wang Q (2015) Fixed-effect panel threshold model using Stata. Stata J 15(1):121–134Google Scholar
  33. Wright B (2009) International grain reserves and other instruments to address volatility in grain markets. The World Bank Policy Research Working Paper 5028. http://www-wds.worldbank.org/servlet/WDSContentServer/WDSP/IB/2009/08/25/000158349_20090825154655/Rendered/PDF/WPS5028.pdf. Accessed 20 Feb 2015

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Agricultural Economics, ETSIAABUniversidad Politécnica de MadridMadridSpain
  2. 2.Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM)MadridSpain
  3. 3.Institute of Agricultural EconomicsUniversity of KielKielGermany

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