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Global financial crisis, liquidity pressure in stock markets and efficiency of central bank interventions

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  • Fredj Jawadi
  • Mohamed Hedi Arouri
  • Duc Khuong Nguyen

Abstract

In this article, we investigate the hypothesis of efficiency of central bank intervention policies within the current global financial crisis. We firstly discuss the major existing interventions of central banks around the world to improve liquidity, restore investor confidence and avoid a global credit crunch. We then evaluate the short-term efficiency of these policies in the context of the UK, the US and the French financial markets using different modelling techniques. On the one hand, the impulse response functions in a Structural Vector Autoregressive (SVAR) model are used to apprehend stock market reactions to central bank policies. On the other hand, since these reactions are likely to be of an asymmetric and nonlinear nature, a two-regime Smooth Transition Regression-Generalized Autoregressive Conditional Heteroscedasticity (STR-GARCH) model is estimated to explore the complexity and nonlinear responses of stock markets to exogenous shifts in monetary policy shocks. As expected, our findings show strong repercussions from interest rate changes on stock markets, indicating that investors keep a close eye on central bank intervention policies to make their trading decisions. The stock markets lead monetary markets, however, when central banks are slow to adjust their benchmark interest rates.

Suggested Citation

  • Fredj Jawadi & Mohamed Hedi Arouri & Duc Khuong Nguyen, 2010. "Global financial crisis, liquidity pressure in stock markets and efficiency of central bank interventions," Applied Financial Economics, Taylor & Francis Journals, vol. 20(8), pages 669-680.
  • Handle: RePEc:taf:apfiec:v:20:y:2010:i:8:p:669-680
    DOI: 10.1080/09603100903493195
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    References listed on IDEAS

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    1. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    2. Bjørnland, Hilde C. & Leitemo, Kai, 2009. "Identifying the interdependence between US monetary policy and the stock market," Journal of Monetary Economics, Elsevier, vol. 56(2), pages 275-282, March.
    3. Shiu-Sheng Chen, 2007. "Does Monetary Policy Have Asymmetric Effects on Stock Returns?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 667-688, March.
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    Cited by:

    1. Jawadi, Fredj & Khanniche, Sabrina, 2012. "Modeling hedge fund exposure to risk factors," Economic Modelling, Elsevier, vol. 29(4), pages 1003-1018.
    2. Ricci, Ornella, 2015. "The impact of monetary policy announcements on the stock price of large European banks during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 245-255.
    3. repec:jfr:rwe111:v:6:y:2015:i:2:p:50-61 is not listed on IDEAS
    4. Blancheton, Bertrand, 2016. "Central bank independence in a historical perspective. Myth, lessons and a new model," Economic Modelling, Elsevier, vol. 52(PA), pages 101-107.
    5. Fiordelisi, Franco & Galloppo, Giuseppe & Ricci, Ornella, 2014. "The effect of monetary policy interventions on interbank markets, equity indices and G-SIFIs during financial crisis," Journal of Financial Stability, Elsevier, vol. 11(C), pages 49-61.
    6. Fredj Jawadi, 2016. "What Have We Learned from the 2007-08 Financial Crisis? Papers Presented at the Second International Workshop on Financial Markets and Nonlinear Dynamics (Paris, June 4-5, 2015)," Open Economies Review, Springer, vol. 27(5), pages 819-823, November.

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