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The international transmission of volatility shocks: an empirical analysis

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  • Mumtaz, Haroon

    ()
    (Bank of England)

  • Theodoridis, Konstantinos

    ()
    (Reserve Bank of New Zealand)

Abstract

This paper proposes an empirical model which can be used to estimate the impact of changes in the volatility of shocks to US real activity on the UK economy. The proposed empirical model is a structural VAR where the volatility of structural shocks is time varying and is allowed to affect the level of endogenous variables. Using this extended SVAR model we estimate that a one standard deviation increase in the volatility of the shock to US real GDP leads to a decline in UK GDP growth of 0.1% and a 0.1% increase in UK CPI inflation. We then use a non-linear small open economy New Keynesian business cycle model calibrated to US/UK economies to investigate what kind of stochastic volatility shocks can deliver such behaviour. We find that shocks that generate marginal cost uncertainty – such as foreign wage mark-up and productivity stochastic volatility shocks – can reproduce the macroeconomic aggregate responses obtained by the empirical model. An increase in uncertainty, associated with foreign demand shocks on the other hand has a negligible impact on the domestic economy.

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Bibliographic Info

Paper provided by Bank of England in its series Bank of England working papers with number 463.

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Length: 67 pages
Date of creation: 07 Oct 2012
Date of revision:
Handle: RePEc:boe:boeewp:0463

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Keywords: Stochastic volatility; Gibbs sampling; DSGE model;

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References

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  1. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, 05.
  2. Lawrence J. Christiano & Mathias Trabandt & Karl Walentin, 2010. "Introducing financial frictions and unemployment into a small open economy model," CQER Working Paper 2010-04, Federal Reserve Bank of Atlanta.
  3. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
  4. Susanto Basu & Brent Bundick, 2012. "Uncertainty Shocks in a Model of Effective Demand," NBER Working Papers 18420, National Bureau of Economic Research, Inc.
  5. Harrison, Richard & Oomen, Özlem, 2010. "Evaluating and estimating a DSGE model for the United Kingdom," Bank of England working papers 380, Bank of England.
  6. Almuth Scholl & Harald Uhlig, 2006. "New Evidence on the Puzzles: Monetary Policy and Exchange Rates," Computing in Economics and Finance 2006 5, Society for Computational Economics.
  7. Berument, Hakan & Yalcin, Yeliz & Yildirim, Julide, 2009. "The effect of inflation uncertainty on inflation: Stochastic volatility in mean model within a dynamic framework," Economic Modelling, Elsevier, vol. 26(6), pages 1201-1207, November.
  8. Gianluca Benigno & Pierpaolo Benigno & Salvatore Nisticò, 2011. "Risk, Monetary Policy and the Exchange Rate," NBER Working Papers 17133, National Bureau of Economic Research, Inc.
  9. Lemoine, M. & Mougin, C., 2010. "The Growth-Volatility Relationship: New Evidence Based on Stochastic Volatility in Mean Models," Working papers 285, Banque de France.
  10. Alejandro Justiniano & Bruce Preston, 2010. "Monetary policy and uncertainty in an empirical small open-economy model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 93-128.
  11. Benigno, Gianluca & Benigno, Pierpaolo, 2001. "Monetary Policy Rules and the Exchange Rate," CEPR Discussion Papers 2807, C.E.P.R. Discussion Papers.
  12. Manabu Asai & Michael McAleer & Jun Yu, 2006. "Multivariate Stochastic Volatility," Microeconomics Working Papers 22058, East Asian Bureau of Economic Research.
  13. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, January.
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Cited by:
  1. Colombo, Valentina, 2013. "Economic policy uncertainty in the US: Does it matter for the Euro area?," Economics Letters, Elsevier, vol. 121(1), pages 39-42.

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