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State-dependent risk taking and the transmission of monetary policy shocks

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  • Fève, Patrick
  • Garcia, Pablo
  • Sahuc, Jean-Guillaume

Abstract

Is risk taking an important channel by which monetary policy shocks affect economic activity? On the basis of a nonlinear structural VAR including a new measure of risk sensitivity by economic agents, we show that the role of the risk-taking channel depends on the state of the economy. While it is irrelevant during recession or normal times, it acts as an amplifier by boosting output during expansion. It means that, as long as monetary policy does not actively "lean against the wind", it may exacerbate boom-bust patterns.

Suggested Citation

  • Fève, Patrick & Garcia, Pablo & Sahuc, Jean-Guillaume, 2017. "State-dependent risk taking and the transmission of monetary policy shocks," TSE Working Papers 17-872, Toulouse School of Economics (TSE).
    • Handle: RePEc:tse:wpaper:32282
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    1. Shai Bernstein & Josh Lerner & Filippo Mezzanotti, 2019. "Private Equity and Financial Fragility during the Crisis," The Review of Financial Studies, Society for Financial Studies, vol. 32(4), pages 1309-1373.
    2. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    3. Jing Cynthia Wu & Fan Dora Xia, 2016. "Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 253-291, March.
    4. Terasvirta, Timo & Tjostheim, Dag & Granger, Clive W. J., 2010. "Modelling Nonlinear Economic Time Series," OUP Catalogue, Oxford University Press, number 9780199587155.
    5. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    6. Bachmann, Rüdiger & Sims, Eric R., 2012. "Confidence and the transmission of government spending shocks," Journal of Monetary Economics, Elsevier, vol. 59(3), pages 235-249.
    7. 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.
    8. Douglas W. Diamond & Raghuram G. Rajan, 2012. "Illiquid Banks, Financial Stability, and Interest Rate Policy," Journal of Political Economy, University of Chicago Press, vol. 120(3), pages 552-591.
    9. Tullio Jappelli & Marco Pagano & Marco Di Maggio, 2013. "Households' indebtedness and financial fragility," Journal of Financial Management, Markets and Institutions, Società editrice il Mulino, issue 1, pages 23-46, January.
    10. Borio, Claudio & Zhu, Haibin, 2012. "Capital regulation, risk-taking and monetary policy: A missing link in the transmission mechanism?," Journal of Financial Stability, Elsevier, vol. 8(4), pages 236-251.
    11. Ampudia, Miguel & van Vlokhoven, Has & Żochowski, Dawid, 2016. "Financial fragility of euro area households," Journal of Financial Stability, Elsevier, vol. 27(C), pages 250-262.
    12. Jan Hatzius & Peter Hooper & Frederic S. Mishkin & Kermit L. Schoenholtz & Mark W. Watson, 2010. "Financial Conditions Indexes: A Fresh Look after the Financial Crisis," NBER Working Papers 16150, National Bureau of Economic Research, Inc.
    13. Kirstin Hubrich & Timo Teräsvirta, 2013. "Thresholds and Smooth Transitions in Vector Autoregressive Models," CREATES Research Papers 2013-18, Department of Economics and Business Economics, Aarhus University.
    14. repec:mul:jdp901:doi:10.12831/73631:y:2013:i:1:p:26-35 is not listed on IDEAS
    15. Scott Brave & R. Andrew Butters, 2012. "Diagnosing the Financial System: Financial Conditions and Financial Stress," International Journal of Central Banking, International Journal of Central Banking, vol. 8(2), pages 191-239, June.
    16. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
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    Cited by:

    1. Irina Semina, 2020. "Modelling the Risk-taking Channel of Monetary Policy in the Russian Economy," Russian Journal of Money and Finance, Bank of Russia, vol. 79(3), pages 30-57, September.
    2. Christian Pfister & Jean-Guillaume Sahuc, 2020. "Unconventional monetary policies: A stock-taking exercise," Revue d'économie politique, Dalloz, vol. 130(2), pages 137-169.
    3. Christian Myohl, 2018. "The Effect of a Financial Block on the Identification of Confidence Shocks in a Structural VAR Model," Diskussionsschriften dp1821, Universitaet Bern, Departement Volkswirtschaft.
    4. Dimitrios Bakas & Karen Jackson & Georgios Magkonis, 2020. "Trade (Dis)integration: The Sudden Death of NAFTA," Open Economies Review, Springer, vol. 31(4), pages 931-943, September.

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    More about this item

    Keywords

    Risk-taking channel; Monetary policy; Boom-bust cycle;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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