IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/halshs-02073826.html
   My bibliography  Save this paper

New Evidence on the Effects of Quantitative Easing

Author

Listed:
  • Valentin Jouvanceau

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

Abstract

Have the macroeconomic effects of QE programs been overestimated empirically? Using a large set of model specifications that differ in the degree of time-variation in parameters, the answer is yes. Our forecasting exercise suggests that it is crucial to allow for time-variation in parameters, but not for stochastic volatility to improve the fit with data. Having a more reliable specification, we find that the portfolio balance and signaling channels had sizable contributions to the transmission of QE programs. Finally, our identified structural shocks show that QE1 had larger macroeconomic effects than QE2 and QE3, but much smaller than usually found in the literature.

Suggested Citation

  • Valentin Jouvanceau, 2019. "New Evidence on the Effects of Quantitative Easing," Working Papers halshs-02073826, HAL.
    • Handle: RePEc:hal:wpaper:halshs-02073826
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02073826
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-02073826/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dimitri Vayanos & Jean‐Luc Vila, 2021. "A Preferred‐Habitat Model of the Term Structure of Interest Rates," Econometrica, Econometric Society, vol. 89(1), pages 77-112, January.
    2. Arvind Krishnamurthy & Annette Vissing-Jorgensen, 2011. "The Effects of Quantitative Easing on Interest Rates: Channels and Implications for Policy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(2 (Fall)), pages 215-287.
    3. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 665-696.
    4. Cúrdia, Vasco & Woodford, Michael, 2011. "The central-bank balance sheet as an instrument of monetarypolicy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 54-79, January.
    5. Adrian, Tobias & Crump, Richard K. & Moench, Emanuel, 2013. "Pricing the term structure with linear regressions," Journal of Financial Economics, Elsevier, vol. 110(1), pages 110-138.
    6. Jens H. E. Christensen & Glenn D. Rudebusch, 2012. "The Response of Interest Rates to US and UK Quantitative Easing," Economic Journal, Royal Economic Society, vol. 122(564), pages 385-414, November.
    7. Weale, Martin & Wieladek, Tomasz, 2016. "What are the macroeconomic effects of asset purchases?," Journal of Monetary Economics, Elsevier, vol. 79(C), pages 81-93.
    8. Joseph Gagnon & Matthew Raskin & Julie Remache & Brian Sack, 2011. "The Financial Market Effects of the Federal Reserve's Large-Scale Asset Purchases," International Journal of Central Banking, International Journal of Central Banking, vol. 7(1), pages 3-43, March.
    9. Koop, Gary & Korobilis, Dimitris, 2014. "A new index of financial conditions," European Economic Review, Elsevier, vol. 71(C), pages 101-116.
    10. Christiane Baumeister & Luca Benati, 2013. "Unconventional Monetary Policy and the Great Recession: Estimating the Macroeconomic Effects of a Spread Compression at the Zero Lower Bound," International Journal of Central Banking, International Journal of Central Banking, vol. 9(2), pages 165-212, June.
    11. Valentin Jouvanceau, 2019. "Quantitative Easing and Excess Reserves," Working Papers halshs-02053237, HAL.
    12. Koop, Gary & Korobilis, Dimitris, 2013. "Large time-varying parameter VARs," Journal of Econometrics, Elsevier, vol. 177(2), pages 185-198.
    13. Michael Woodford, 2012. "Methods of policy accommodation at the interest-rate lower bound," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 185-288.
    14. Leonardo Gambacorta & Boris Hofmann & Gert Peersman, 2014. "The Effectiveness of Unconventional Monetary Policy at the Zero Lower Bound: A Cross‐Country Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(4), pages 615-642, June.
    15. Arvind Krishnamurthy & Annette Vissing-Jorgensen, 2011. "The Effects of Quantitative Easing on Interest Rates: Channels and Implications for Policy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 215-287.
    16. Andrew Binning, 2013. "Underidentified SVAR models: A framework for combining short and long-run restrictions with sign-restrictions," Working Paper 2013/14, Norges Bank.
    17. Gertler, Mark & Karadi, Peter, 2011. "A model of unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 58(1), pages 17-34, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maria Sole Pagliari, 2021. "Does one (unconventional) size fit all? Effects of the ECB's unconventional monetary policies on the euro area economies," Working papers 829, Banque de France.
    2. Stéphane Lhuissier & Urszula Szczerbowicz, 2022. "Monetary Policy and Corporate Debt Structure," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 497-515, June.
    3. Gregor Boehl & Gavin Goy & Felix Strobel, 2020. "A Structural Investigation of Quantitative Easing," CRC TR 224 Discussion Paper Series crctr224_2020_193, University of Bonn and University of Mannheim, Germany.
    4. Claudio Borio & Anna Zabai, 2018. "Unconventional monetary policies: a re-appraisal," Chapters, in: Peter Conti-Brown & Rosa M. Lastra (ed.), Research Handbook on Central Banking, chapter 20, pages 398-444, Edward Elgar Publishing.
    5. Nikolay Hristov & Oliver Hülsewig & Johann Scharler, 2021. "Unconventional Monetary Policy Shocks in the Euro Area and the Sovereign-Bank Nexus," International Journal of Central Banking, International Journal of Central Banking, vol. 17(3), pages 337-383, September.
    6. Maciej Stefański, 2021. "Macroeconomic Effects of Quantitative Easing Using Mid-sized Bayesian Vector Autoregressions," KAE Working Papers 2021-068, Warsaw School of Economics, Collegium of Economic Analysis.
    7. Abdoulaye Millogo, 2020. "Hysteresis Effects and Macroeconomics Gains from Unconventional Monetary Policies Stabilization," Cahiers de recherche 20-12, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    8. Alba Carlos & Cuadra Gabriel & Ibarra Raúl, 2023. "Effects of the Extraordinary Measures Implemented by Banco de México during the COVID-19 Pandemic on Financial Conditions," Working Papers 2023-03, Banco de México.
    9. Saroj Bhattarai & Christopher J. Neely, 2022. "An Analysis of the Literature on International Unconventional Monetary Policy," Journal of Economic Literature, American Economic Association, vol. 60(2), pages 527-597, June.
    10. Michael Hachula & Michele Piffer & Malte Rieth, 2020. "Unconventional Monetary Policy, Fiscal Side Effects, and Euro Area (Im)balances," Journal of the European Economic Association, European Economic Association, vol. 18(1), pages 202-231.
    11. Hesse, Henning & Hofmann, Boris & Weber, James Michael, 2018. "The macroeconomic effects of asset purchases revisited," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 115-138.
    12. Falagiarda, Matteo, 2013. "Evaluating Quantitative Easing: A DSGE Approach," MPRA Paper 49457, University Library of Munich, Germany.
    13. Grahame Johnson & Sharon Kozicki & Romanos Priftis & Lena Suchanek & Jonathan Witmer & Jing Yang, 2020. "Implementation and Effectiveness of Extended Monetary Policy Tools: Lessons from the Literature," Discussion Papers 2020-16, Bank of Canada.
    14. Anzuini Alessio, 2022. "The non-linear effects of the Fed asset purchases," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(2), pages 205-218, April.
    15. Tatjana Dahlhaus & Kristina Hess & Abeer Reza, 2018. "International Transmission Channels of U.S. Quantitative Easing: Evidence from Canada," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 545-563, March.
    16. Bhattarai, Saroj & Chatterjee, Arpita & Park, Woong Yong, 2021. "Effects of US quantitative easing on emerging market economies," Journal of Economic Dynamics and Control, Elsevier, vol. 122(C).
    17. Andrejs Zlobins, 2021. "On the Time-varying Effects of the ECB's Asset Purchases," Working Papers 2021/02, Latvijas Banka.
    18. Stephanie Titzck & Jan Willem van den End, 2021. "The impact of size, composition and duration of the central bank balance sheet on inflation expectations and market prices," The European Journal of Finance, Taylor & Francis Journals, vol. 27(12), pages 1186-1209, August.
    19. Breitenlechner, Max & Gründler, Daniel & Scharler, Johann, 2021. "Unconventional monetary policy announcements and information shocks in the U.S," Journal of Macroeconomics, Elsevier, vol. 67(C).
    20. Bank for International Settlements, 2019. "Unconventional monetary policy tools: a cross-country analysis," CGFS Papers, Bank for International Settlements, number 63, december.

    More about this item

    Keywords

    Quantitative Easing; Model specification; TVP-FAVAR; Transmission channels;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:hal:wpaper:halshs-02073826. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.