IDEAS home Printed from https://ideas.repec.org/a/bpj/sndecm/v21y2017i3p12n3.html
   My bibliography  Save this article

Money supply and inflation dynamics in the Asia-Pacific economies: a time-frequency approach

Author

Listed:
  • Bekiros Stelios

    (Department of Economics, European University Institute (EUI), Villa La Fonte, Via delle Fontanelle, 18, I-50014, Florence, Italy, Tel.: +390554685925, Fax: +390554685902;)

  • Muzaffar Ahmed T.

    (University of Western Sydney, School of Business, Parramatta Campus, Locked Bag 1797, Penrith, NSW 2751, Australia)

  • Uddin Gazi S.

    (Linköping University, Department of Management and Engineering, SE-581 83Linköping, Sweden)

  • Vidal-García Javier

    (Complutense University Madrid, Madrid, Spain)

Abstract

We examine the relationship between money supply growth and inflation in 3 Asian Economies which are India, Malaysia and Japan using a time-frequency approach. The application of a unified multi-scale analysis allows us to provide a continuous assessment of the link between money supply growth and inflation, unlike most of the existing literature studying this relationship. We also employ a bivariate frequency-domain causality test to determine the nature and direction of interdependence between money supply growth and inflation dynamics. Our findings provide a better understanding of their lead-lag linkages and causal relationship in the selected countries of the Asia-Pacific region.

Suggested Citation

  • Bekiros Stelios & Muzaffar Ahmed T. & Uddin Gazi S. & Vidal-García Javier, 2017. "Money supply and inflation dynamics in the Asia-Pacific economies: a time-frequency approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(3), pages 1-12, June.
  • Handle: RePEc:bpj:sndecm:v:21:y:2017:i:3:p:12:n:3
    DOI: 10.1515/snde-2016-0051
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/snde-2016-0051
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/snde-2016-0051?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ramsey James B. & Lampart Camille, 1998. "The Decomposition of Economic Relationships by Time Scale Using Wavelets: Expenditure and Income," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(1), pages 1-22, April.
    2. Katrin Assenmacher-Wesche & Stefan Gerlach, 2007. "Understanding the Link between Money Growth and Inflation in the Euro Area," Palgrave Macmillan Books, in: David Cobham (ed.), The Travails of the Eurozone, chapter 2, pages 10-41, Palgrave Macmillan.
    3. Marc Gronwald, 2009. "Reconsidering the macroeconomics of the oil price in Germany: testing for causality in the frequency domain," Empirical Economics, Springer, vol. 36(2), pages 441-453, May.
    4. Gallegati, Marco & Ramsey, James B., 2014. "The forward looking information content of equity and bond markets for aggregate investments," Journal of Economics and Business, Elsevier, vol. 75(C), pages 1-24.
    5. Hacker, R. Scott & Karlsson, Hyunjoo Kim & Månsson, Kristofer, 2014. "An investigation of the causal relations between exchange rates and interest rate differentials using wavelets," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 321-329.
    6. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    7. Amisano, Gianni & Fagan, Gabriel, 2013. "Money growth and inflation: A regime switching approach," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 118-145.
    8. Ramsey, James B. & Lampart, Camille, 1998. "Decomposition Of Economic Relationships By Timescale Using Wavelets," Macroeconomic Dynamics, Cambridge University Press, vol. 2(1), pages 49-71, March.
    9. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    10. Woodford, Michael, 2000. "Monetary Policy in a World without Money," International Finance, Wiley Blackwell, vol. 3(2), pages 229-260, July.
    11. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2012. "The yield curve and the macro-economy across time and frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 36(12), pages 1950-1970.
    12. Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah & Sjö, Bo, 2016. "On the time scale behavior of equity-commodity links: Implications for portfolio management," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 30-46.
    13. Thornton, Daniel L., 2014. "Monetary policy: Why money matters (and interest rates don’t)," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 202-213.
    14. Jiang, Chun & Chang, Tsangyao & Li, Xiao-Lin, 2015. "Money growth and inflation in China: New evidence from a wavelet analysis," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 249-261.
    15. Aguiar-Conraria, Luís & Azevedo, Nuno & Soares, Maria Joana, 2008. "Using wavelets to decompose the time–frequency effects of monetary policy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2863-2878.
    16. Luís Aguiar-Conraria & Maria Joana Soares, 2014. "The Continuous Wavelet Transform: Moving Beyond Uni- And Bivariate Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 344-375, April.
    17. Paul De Grauwe & Magdalena Polan, 2005. "Is Inflation Always and Everywhere a Monetary Phenomenon?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(2), pages 239-259, June.
    18. Michael Woodford, 2000. "Monetary Policy in a World Without Money," International Finance, Wiley Blackwell, vol. 3(2), pages 229-260, July.
    19. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Camilleri, Silvio John & Scicluna, Nicolanne & Bai, Ye, 2019. "Do stock markets lead or lag macroeconomic variables? Evidence from select European countries," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 170-186.
    2. Uddin, Gazi Salah & Bekiros, Stelios & Ahmed, Ali, 2018. "The nexus between geopolitical uncertainty and crude oil markets: An entropy-based wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 30-39.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bekiros, Stelios & Boubaker, Sabri & Nguyen, Duc Khuong & Uddin, Gazi Salah, 2017. "Black swan events and safe havens: The role of gold in globally integrated emerging markets," Journal of International Money and Finance, Elsevier, vol. 73(PB), pages 317-334.
    2. repec:ipg:wpaper:2014-441 is not listed on IDEAS
    3. Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah & Sjö, Bo, 2016. "On the time scale behavior of equity-commodity links: Implications for portfolio management," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 30-46.
    4. Jiang, Chun & Chang, Tsangyao & Li, Xiao-Lin, 2015. "Money growth and inflation in China: New evidence from a wavelet analysis," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 249-261.
    5. Abid, Fathi & Kaffel, Bilel, 2018. "Time–frequency wavelet analysis of the interrelationship between the global macro assets and the fear indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1028-1045.
    6. Sousa, Rita & Aguiar-Conraria, Luís & Soares, Maria Joana, 2014. "Carbon financial markets: A time–frequency analysis of CO2 prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 118-127.
    7. Claudiu Tiberiu Albulescu & Daniel Goyeau & Cornel Oros, 2015. "On the Long Run Money-Prices Relationship in CEE Countries," Economic Research Guardian, Weissberg Publishing, vol. 5(1), pages 73-96, June.
    8. Bahmani-Oskooee, Mohsen & Chang, Tsangyao & Ranjbar, Omid, 2016. "Asymmetric causality using frequency domain and time-frequency domain (wavelet) approaches," Economic Modelling, Elsevier, vol. 56(C), pages 66-78.
    9. Ferrer, Román & Bolós, Vicente J. & Benítez, Rafael, 2016. "Interest rate changes and stock returns: A European multi-country study with wavelets," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 1-12.
    10. Li, Xiao-Lin & Chang, Tsangyao & Miller, Stephen M. & Balcilar, Mehmet & Gupta, Rangan, 2015. "The co-movement and causality between the U.S. housing and stock markets in the time and frequency domains," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 220-233.
    11. Andrieș, Alin Marius & Căpraru, Bogdan & Ihnatov, Iulian & Tiwari, Aviral Kumar, 2017. "The relationship between exchange rates and interest rates in a small open emerging economy: The case of Romania," Economic Modelling, Elsevier, vol. 67(C), pages 261-274.
    12. Lin, Fu-Lai & Chen, Yu-Fen & Yang, Sheng-Yung, 2016. "Does the value of US dollar matter with the price of oil and gold? A dynamic analysis from time–frequency space," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 59-71.
    13. Gonçalo Faria & Fabio Verona, 2016. "Forecasting the equity risk premium with frequency-decomposed predictors," Working Papers de Economia (Economics Working Papers) 06, Católica Porto Business School, Universidade Católica Portuguesa.
    14. Costa, Antonio & da Silva, Cristiano & Matos, Paulo, 2022. "The Brazilian financial market reaction to COVID-19: A wavelet analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 13-29.
    15. 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.
    16. Verona, Fabio, 2016. "Time–frequency characterization of the U.S. financial cycle," Economics Letters, Elsevier, vol. 144(C), pages 75-79.
    17. Deng-Kui Si & Xiao-Lin Li & Xinyu Ge, 2020. "On the link between the exchange rates and interest rate differentials in China: evidence from an asymmetric wavelet analysis," Empirical Economics, Springer, vol. 59(6), pages 2925-2946, December.
    18. Faria, Gonçalo & Verona, Fabio, 2018. "Forecasting stock market returns by summing the frequency-decomposed parts," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 228-242.
    19. Swamy, Vighneswara, 2020. "Macroeconomic transmission of Eurozone shocks to India—A mean-adjusted Bayesian VAR approach," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 126-150.
    20. Marczak, Martyna & Gómez, Víctor, 2015. "Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis," Economic Modelling, Elsevier, vol. 47(C), pages 40-52.
    21. Pejman Bahramian & Andisheh Saliminezhad, 2021. "Does Capacity Utilization Predict Inflation? A Wavelet Based Evidence from United States," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1103-1125, December.

    More about this item

    Keywords

    monetary policy; wavelet analysis; nonlinear causality;
    All these keywords.

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:sndecm:v:21:y:2017:i:3:p:12:n:3. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.