IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/52414.html
   My bibliography  Save this paper

Nonlinearities and the nexus between inflation and inflation uncertainty in Egypt: New evidence from wavelets transform framework

Author

Listed:
  • Bouoiyour, Jamal
  • Selmi, Refk

Abstract

How does inflation uncertainty interact with inflation rate? The purpose of this article is to assess this question in Egypt in a wavelets transform framework. We investigate the direction of causality in the relationship inflation-inflation uncertainty by combining component GARCH model, wavelets decomposition and scale-by-scale nonlinear causality test. We find a strong evidence in favor of Friedman-ball hypothesis in both time domain and the different frequencies. This study succeeds to resolve the inconsistencies and to point a robust nonlinear effect of inflation on inflation uncertainty, which is more intense at high frequency bands than at low ones. We attribute this result to the complexity in predicting how strongly and how quickly prices will respond to monetary policy, the asymmetry between inflation booms and recessions, the incidence of exogenous shocks, the co-movement of permanent shocks with inflation and the downward expectations of monetary authorities.

Suggested Citation

  • Bouoiyour, Jamal & Selmi, Refk, 2013. "Nonlinearities and the nexus between inflation and inflation uncertainty in Egypt: New evidence from wavelets transform framework," MPRA Paper 52414, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:52414
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/52414/1/MPRA_paper_52414.pdf
    File Function: original version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/55721/1/MPRA_paper_55721.pdf
    File Function: revised version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Bauwens Luc & Storti Giuseppe, 2009. "A Component GARCH Model with Time Varying Weights," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(2), pages 1-33, May.
    2. Devereux, Michael, 1989. "A Positive Theory of Inflation and Inflation Variance," Economic Inquiry, Western Economic Association International, vol. 27(1), pages 105-116, January.
    3. Jamal Bouoiyour & Refk Selmi, 2015. "Exchange volatility and export performance in Egypt: New insights from wavelet decomposition and optimal GARCH model," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 24(2), pages 201-227, March.
    4. Kevin B. Grier & Ólan T. Henry & Nilss Olekalns & Kalvinder Shields, 2004. "The asymmetric effects of uncertainty on inflation and output growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 551-565.
    5. Alex Cukierman, 1992. "Central Bank Strategy, Credibility, and Independence: Theory and Evidence," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262031981, March.
    6. Cukierman, Alex & Meltzer, Allan H, 1986. "A Theory of Ambiguity, Credibility, and Inflation under Discretion and Asymmetric Information," Econometrica, Econometric Society, vol. 54(5), pages 1099-1128, September.
    7. Hermann Sintim-Aboagye & Chandana Chakraborty & Serapio Byekwaso, 2012. "Uncertainty of inflation and inflation rate: Does credibility of inflation policy matter?," Economic Issues Journal Articles, Economic Issues, vol. 17(2), pages 95-110, September.
    8. Aguiar-Conraria, LuI´s & Joana Soares, Maria, 2011. "Business cycle synchronization and the Euro: A wavelet analysis," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 477-489, September.
    9. Kontonikas, A., 2004. "Inflation and inflation uncertainty in the United Kingdom, evidence from GARCH modelling," Economic Modelling, Elsevier, vol. 21(3), pages 525-543, May.
    10. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
    11. Menelaos Karanasos & Stefanie Schurer, 2008. "Is the Relationship between Inflation and Its Uncertainty Linear?," German Economic Review, Verein für Socialpolitik, vol. 9, pages 265-286, August.
    12. Brunner, Allan D & Hess, Gregory D, 1993. "Are Higher Levels of Inflation Less Predictable? A State-Dependent Conditional Heteroscedasticity Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(2), pages 187-197, April.
    13. Friedman, Milton, 1977. "Nobel Lecture: Inflation and Unemployment," Journal of Political Economy, University of Chicago Press, vol. 85(3), pages 451-472, June.
    14. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    15. Ramaprasad Bhar & Shigeyuki Hamori, 2004. "The link between inflation and inflation uncertainty: Evidence from G7 countries," Empirical Economics, Springer, vol. 29(4), pages 825-853, December.
    16. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    17. Neyapti, Bilin, 2004. "Fiscal decentralization, central bank independence and inflation: a panel investigation," Economics Letters, Elsevier, vol. 82(2), pages 227-230, February.
    18. Hachicha, Ahmed & Lean Hooi Hooi, 2013. "Inflation, inflation uncertainty and output in Tunisia," Economics Discussion Papers 2013-1, Kiel Institute for the World Economy (IfW).
    19. Elder, John, 2004. "Another Perspective on the Effects of Inflation Uncertainty," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(5), pages 911-928, October.
    20. Pourgerami, Abbas & Maskus, Keith E., 1987. "The effects of inflation on the predictability of price changes in Latin America: Some estimates and policy implications," World Development, Elsevier, vol. 15(2), pages 287-290, February.
    21. Patrick M. Crowley, 2007. "A Guide To Wavelets For Economists ," Journal of Economic Surveys, Wiley Blackwell, vol. 21(2), pages 207-267, April.
    22. Baillie, Richard T & Chung, Ching-Fan & Tieslau, Margie A, 1996. "Analysing Inflation by the Fractionally Integrated ARFIMA-GARCH Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(1), pages 23-40, Jan.-Feb..
    23. Clive, W.J. & Lin, Jin-Lung, 1995. "Causality in the Long Run," Econometric Theory, Cambridge University Press, vol. 11(03), pages 530-536, June.
    24. Hartmann, Matthias & Herwartz, Helmut, 2012. "Causal relations between inflation and inflation uncertainty—Cross sectional evidence in favour of the Friedman–Ball hypothesis," Economics Letters, Elsevier, vol. 115(2), pages 144-147.
    25. Ungar, Meyer & Zilberfarb, Ben-Zion, 1993. "Inflation and Its Unpredictability--Theory and Empirical Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 25(4), pages 709-720, November.
    26. Achour Maha & Trabelsi Abdelwahed, 2011. "Markov Switching and State-Space Approaches for Investigating the Link between Egyptian Inflation Level and Uncertainty," Review of Middle East Economics and Finance, De Gruyter, vol. 6(3), pages 46-62, February.
    27. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Inflation; inflation uncertainty; GARCH; wavelets; nonlinear causality.;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:52414. 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: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.