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A GARCH Model of Inflation and Inflation Uncertainty with Simultaneous Feedback

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  • Stilianos Fountas
  • Menelaos Karanasos
  • Marika Karanassou

Abstract

We examine the relationship between inflation and inflation uncertainty using a GARCH model that allows for simultaneous feedback between the conditional mean and variance of inflation. We also derive a number of theoretical econometric results and illustrate the relevance of these results with an empirical example of the US monthly inflation process. Our results show that there is strong evidence in favour of a positive bi-directional relationship between inflation and inflation uncertainty in agreement with the predictions of economic theory.

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Paper provided by Department of Economics, University of York in its series Discussion Papers with number 00/24.

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Handle: RePEc:yor:yorken:00/24

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Postal: Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
Phone: (0)1904 323776
Fax: (0)1904 323759
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Web page: http://www.york.ac.uk/economics/
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Keywords: Inflation; Inflation Uncertainty; GARCH-M.;

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  1. Menelaos Karanasos, . "Prediction in ARMA models with GARCH in Mean Effects," Discussion Papers 99/11, Department of Economics, University of York.
  2. Ball, Laurence, 1992. "Why does high inflation raise inflation uncertainty?," Journal of Monetary Economics, Elsevier, vol. 29(3), pages 371-388, June.
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  5. Cosimano, Thomas F & Jansen, Dennis W, 1988. "Estimates of the Variance of U.S. Inflation Based upon the ARCH Model: A Comment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 20(3), pages 409-21, August.
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Citations

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Cited by:
  1. Fountas, Stilianos & Alexandra,Ioannidid, 2001. "Inflation, Inflation Uncertainty, and a Common European Monetary Policy," Working Papers 0054, National University of Ireland Galway, Department of Economics, revised 2001.
  2. A. Kontonikas, 2002. "Inflation and Inflation Uncertainty in the United Kingdom: Evidence from GARCH modelling," Public Policy Discussion Papers 02-28, Economics and Finance Section, School of Social Sciences, Brunel University.
  3. Menelaos Karanasos & J. Kim, . "Alternative GARCH in Mean Models: An Application to the Korean Stock Market," Discussion Papers 00/25, Department of Economics, University of York.
  4. Broto Carmen & Ruiz Esther, 2009. "Testing for Conditional Heteroscedasticity in the Components of Inflation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(2), pages 1-30, May.
  5. Syed Kumail Abbas Naqvi & Bushra Naqvi, 2010. "Asymmetric Behavior of Inflation Uncertainty and Friedman-Ball Hypothesis: Evidence from Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 15(2), pages 1-33, Jul-Dec.
  6. M. Karanasos & J. Kim, 2003. "Moments of the ARMA--EGARCH model," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 146-166, 06.
  7. Menelaos Karanasos, . "The Covariance Structure of Mixed ARMA Models," Discussion Papers 00/11, Department of Economics, University of York.
  8. Rizvi, Syed Kumail Abbas & Naqvi, Bushra, 2009. "Inflation Volatility: An Asian Perspective," MPRA Paper 19489, University Library of Munich, Germany.
  9. Rizvi, Syed Kumail Abbas & Naqvi, Bushra, 2008. "Asymmetric Behavior of Inflation Uncertainty and Friedman-Ball Hypothesis: Evidence from Pakistan," MPRA Paper 19488, University Library of Munich, Germany.
  10. Menelaos Karanasos, . "Some Exact Formulae for the Constant Correlation and Diagonal M - Garch Models," Discussion Papers 00/14, Department of Economics, University of York.
  11. Matteo Barigozzi & Marco Capasso, 2007. "A Multivariate Perspective for Modeling and Forecasting Inflation's Conditional Mean and Variance," LEM Papers Series 2007/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  12. Stilianos Fountas, 2000. "The Relationship between Inflation and Inflation Uncertainty in the UK: 1885-1998," Working Papers 0048, National University of Ireland Galway, Department of Economics, revised 2000.

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