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The Effects of Money Growth on Inflation and Interest Rates across Spectral Frequency Bands

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  • Thoma, Mark A

Abstract

Band spectral regression techniques are used to identify the frequency bands that are most important in the relationships between money growth and inflation, and between money growth and the nominal interest rate. The results show that cycles in the growth rate of M1 from one to two years long produce higher frequency cycles in inflation and two distinct sets of higher frequency cycles in changes in the nominal interest rate. The results support models where predictable changes in money growth produce liquidity and anticipated inflation effects on nominal interest rates. Copyright 1994 by Ohio State University Press.

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  • Thoma, Mark A, 1994. "The Effects of Money Growth on Inflation and Interest Rates across Spectral Frequency Bands," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 26(2), pages 218-231, May.
    • Handle: RePEc:mcb:jmoncb:v:26:y:1994:i:2:p:218-31
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    Cited by:

    1. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Money growth, output gaps and inflation at low and high frequency: Spectral estimates for Switzerland," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 411-435, February.
    2. Mark Crosby & Glenn Otto, 2001. "Growth and the Real Exchange Rate - Evidence from Eleven Countries," Working Papers 082001, Hong Kong Institute for Monetary Research.
    3. Richard A. Ashley. & Randall J. Verbrugge., 2006. "Mis-Specification and Frequency Dependence in a New Keynesian Phillips Curve," Working Papers e06-12, Virginia Polytechnic Institute and State University, Department of Economics.
    4. Feng Zhu, 2005. "The fragility of the Phillips curve: A bumpy ride in the frequency domain," BIS Working Papers 183, Bank for International Settlements.
    5. Kulaksizoglu, Tamer & Kulaksizoglu, Sebnem, 2009. "The U.S. Excess Money Growth and Inflation Relation in the Long-Run: A Nonlinear Analysis," MPRA Paper 23780, University Library of Munich, Germany.
    6. João Valle e Azevedo, 2010. "Forecasting Inflation (and the Business Cycle?) with Monetary Aggregates," Working Papers w201024, Banco de Portugal, Economics and Research Department.
    7. Forgha Godfrey NJIMANTED & Daniel AKUME & Emmanuel Mbella MUKETE, 2016. "The Impact of Key Monetary Variables on the Economic Growth of the CEMAC Zone," Expert Journal of Economics, Sprint Investify, vol. 4(2), pages 54-67.
    8. D. M. Nachane & Amlendu Kumar Dubey, 2008. "The Vanishing Role of Money in the Macroeconomy - An Empirical Investigation Based On Spectral and Wavelet Analysis," Macroeconomics Working Papers 22369, East Asian Bureau of Economic Research.
    9. Edvinsson, Rodney & Karlsson, Sune & Österholm, Pär, 2023. "Does Money Growth Predict Inflation? Evidence from Vector Autoregressions Using Four Centuries of Data," Working Papers 2023:3, Örebro University, School of Business.
    10. D.M. Nachane & Amlendu Kumar Dubey, 2008. "The vanishing role of money in the macroeconomy: An Empirical investigation based on spectral and wavelet analysis," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2008-022, Indira Gandhi Institute of Development Research, Mumbai, India.
    11. Chan, Leo & Lien, Donald & Weng, Wenlong, 2008. "Financial interdependence between Hong Kong and the US: A band spectrum approach," International Review of Economics & Finance, Elsevier, vol. 17(4), pages 507-516, October.
    12. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Interpreting euro area inflation at high and low frequencies," European Economic Review, Elsevier, vol. 52(6), pages 964-986, August.
    13. Nachane, D.M. & Dubey, Amlendu Kumar, 2011. "The vanishing role of money in the macro-economy: An empirical investigation for India," Economic Modelling, Elsevier, vol. 28(3), pages 859-869, May.
    14. Guo, Feng & Hu, Jinyan & Jiang, Mingming, 2013. "Monetary shocks and asymmetric effects in an emerging stock market: The case of China," Economic Modelling, Elsevier, vol. 32(C), pages 532-538.
    15. Tae-Hwan Kima & Paul Mizena & Alan Thanaset, 2007. "Predicting Directional Changes in Interest Rates: Gains from Using Information from Monetary Indicators," Discussion Papers 07/07, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    16. Thoma, Mark, 2004. "Electrical energy usage over the business cycle," Energy Economics, Elsevier, vol. 26(3), pages 463-485, May.
    17. Richard A. Ashley & Randall J. Verbrugge., 2006. "Mis-Specification in Phillips Curve Regressions: Quantifying Frequency Dependence in This Relationship While Allowing for Feedback," Working Papers e06-11, Virginia Polytechnic Institute and State University, Department of Economics.

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