IDEAS home Printed from
   My bibliography  Save this paper

Assessing asset purchases within the ECB’s securities markets programme


  • Schwaab, Bernd
  • Eser, Fabian


We assess the yield impact of asset purchases within the ECB’s Securities Markets Programme in five euro area sovereign bond markets during 2010-11. Identification is non-trivial and based on time series panel data regression on predetermined purchases and control covariates. In addition to large and economically significant announcement effects, we find an average impact at the five year maturity per e1 bn of bond purchases of approximately -1 to -2 bps (Italy), -3 bps (Ireland), -4 to -6 bps (Spain), -6 to -9 bps (Portugal), and up to -17 to -21 bps (Greece). The impact depends on market size and a default risk signal, and is approximately -3 basis points at a five-year maturity for purchases of 1/1000 of the respective debt market. Bond yield volatility is lower on intervention days for most SMP countries, due to less extreme movements occurring when the Eurosystem is active as a buyer. A dynamic specification points to both transitory and longer-lived effects from purchases. JEL Classification: C32, G12

Suggested Citation

  • Schwaab, Bernd & Eser, Fabian, 2013. "Assessing asset purchases within the ECB’s securities markets programme," Working Paper Series 1587, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20131587

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Drew Creal & Bernd Schwaab & Siem Jan Koopman & Andr� Lucas, 2014. "Observation-Driven Mixed-Measurement Dynamic Factor Models with an Application to Credit Risk," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 898-915, December.
    2. Adrian, Tobias & Shin, Hyun Song, 2010. "Liquidity and leverage," Journal of Financial Intermediation, Elsevier, vol. 19(3), pages 418-437, July.
    3. Siem Jan Koopman & André Lucas & Bernd Schwaab, 2012. "Dynamic Factor Models With Macro, Frailty, and Industry Effects for U.S. Default Counts: The Credit Crisis of 2008," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(4), pages 521-532, May.
    4. Vayanos, Dimitri & Vila, Jean-Luc, 2009. "A preferred-habitat model of the term structure of interest rates," LSE Research Online Documents on Economics 29308, London School of Economics and Political Science, LSE Library.
    5. Darrell Duffie & Nicolae Gârleanu & Lasse Heje Pedersen, 2007. "Valuation in Over-the-Counter Markets," Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1865-1900, November.
    6. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    7. Hoerova, Marie & Monnet, Cyril & Temzelides, Ted, 2012. "Money talks," Economics Letters, Elsevier, vol. 116(3), pages 617-621.
    8. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    9. Eric Ghysels & Julien Idier & Simone Manganelli & Olivier Vergote, 2017. "A High-Frequency assessment of the ECB Securities Markets Programme," Journal of the European Economic Association, European Economic Association, vol. 15(1), pages 218-243.
    10. Darrell Duffie, 2012. "Over-The-Counter Markets," Introductory Chapters,in: Dark Markets: Asset Pricing and Information Transmission in Over-the-Counter Markets Princeton University Press.
    11. Acharya, Viral V. & Steffen, Sascha, 2015. "The “greatest” carry trade ever? Understanding eurozone bank risks," Journal of Financial Economics, Elsevier, vol. 115(2), pages 215-236.
    12. Francis A. Longstaff & Jun Pan & Lasse H. Pedersen & Kenneth J. Singleton, 2011. "How Sovereign Is Sovereign Credit Risk?," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(2), pages 75-103, April.
    13. 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.
    14. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178, June.
    15. Ang, Andrew & Longstaff, Francis A., 2013. "Systemic sovereign credit risk: Lessons from the U.S. and Europe," Journal of Monetary Economics, Elsevier, vol. 60(5), pages 493-510.
    16. Jonathan H. Wright, 2011. "What does Monetary Policy do to Long-Term Interest Rates at the Zero Lower Bound?," NBER Working Papers 17154, National Bureau of Economic Research, Inc.
    17. Jun Pan & Kenneth J. Singleton, 2008. "Default and Recovery Implicit in the Term Structure of Sovereign "CDS" Spreads," Journal of Finance, American Finance Association, vol. 63(5), pages 2345-2384, October.
    18. Koopman, Siem Jan & Lucas, André & Schwaab, Bernd, 2011. "Modeling frailty-correlated defaults using many macroeconomic covariates," Journal of Econometrics, Elsevier, vol. 162(2), pages 312-325, June.
    19. Michael A. S. Joyce & Ana Lasaosa & Ibrahim Stevens & Matthew Tong, 2011. "The Financial Market Impact of Quantitative Easing in the United Kingdom," International Journal of Central Banking, International Journal of Central Banking, vol. 7(3), pages 113-161, September.
    Full references (including those not matched with items on IDEAS)

    More about this item


    central bank asset purchases; effectiveness of non-standard monetary policy measures; European Central Bank; Securities Markets Programme;

    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
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:ecb:ecbwps:20131587. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Official Publications). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.