IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/20161938.html
   My bibliography  Save this paper

Bond risk premia, macroeconomic factors and financial crisis in the euro area

Author

Listed:
  • Garcí­a, Juan Angel
  • Werner, Sebastian E. V.

Abstract

This paper investigates the power of macroeconomic factors to explain euro area bond risk premia using (i) a large dataset that captures the nowadays data-rich environment (ii) the Elastic Net variable selection. We find that macroeconomic factors, in particular economic activity and sentiment indicators, explain 40% of the variability of risk premia before the crisis, and up to 55% during the financial crisis, and both for core countries (from 40% to 60%) and periphery countries (from 35% to 44%). Moreover, macroeconomic factor models clearly outperform financial indicators like the CP-factor and credit default swap (CDS) premia, even in periods of significant market turbulence. JEL Classification: E43, E44, G01, G12, C52, C55

Suggested Citation

  • Garcí­a, Juan Angel & Werner, Sebastian E. V., 2016. "Bond risk premia, macroeconomic factors and financial crisis in the euro area," Working Paper Series 1938, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20161938
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp1938.en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ilan Cooper, 2009. "Time-Varying Risk Premiums and the Output Gap," The Review of Financial Studies, Society for Financial Studies, vol. 22(7), pages 2601-2633, July.
    2. Moench, Emanuel, 2008. "Forecasting the yield curve in a data-rich environment: A no-arbitrage factor-augmented VAR approach," Journal of Econometrics, Elsevier, vol. 146(1), pages 26-43, September.
    3. Jean-Sébastien Fontaine & René Garcia, 2012. "Bond Liquidity Premia," The Review of Financial Studies, Society for Financial Studies, vol. 25(4), pages 1207-1254.
    4. Alexei Onatski, 2009. "Testing Hypotheses About the Number of Factors in Large Factor Models," Econometrica, Econometric Society, vol. 77(5), pages 1447-1479, September.
    5. Bai, Jushan & Ng, Serena, 2008. "Forecasting economic time series using targeted predictors," Journal of Econometrics, Elsevier, vol. 146(2), pages 304-317, October.
    6. Lars E.O. Svensson, 1994. "Estimating and Interpreting Forward Interest Rates: Sweden 1992 - 1994," NBER Working Papers 4871, National Bureau of Economic Research, Inc.
    7. Juha Kilponen & Helinä Laakkonen & Jouko Vilmunen, 2015. "Sovereign Risk, European Crisis-Resolution Policies, and Bond Spreads," International Journal of Central Banking, International Journal of Central Banking, vol. 11(2), pages 285-323, March.
    8. Aizenman, Joshua & Hutchison, Michael & Jinjarak, Yothin, 2013. "What is the risk of European sovereign debt defaults? Fiscal space, CDS spreads and market pricing of risk," Journal of International Money and Finance, Elsevier, vol. 34(C), pages 37-59.
    9. Anna Cieslak & Pavol Povala, 2015. "Expected Returns in Treasury Bonds," The Review of Financial Studies, Society for Financial Studies, vol. 28(10), pages 2859-2901.
    10. Beber, Alessandro & Brandt, Michael W. & Luisi, Maurizio, 2015. "Distilling the macroeconomic news flow," Journal of Financial Economics, Elsevier, vol. 117(3), pages 489-507.
    11. Hans Dewachter & Leonardo Iania & Marco Lyrio & Maite de Sola Perea, 2014. "A macro-financial analysis of the euro area sovereign bond market," Working Paper Research 259, National Bank of Belgium.
    12. Dewachter, Hans & Iania, Leonardo & Lyrio, Marco & de Sola Perea, Maite, 2015. "A macro-financial analysis of the euro area sovereign bond market," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 308-325.
    13. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Afonso, António & Arghyrou, Michael G. & Gadea, María Dolores & Kontonikas, Alexandros, 2018. "“Whatever it takes” to resolve the European sovereign debt crisis? Bond pricing regime switches and monetary policy effects," Journal of International Money and Finance, Elsevier, vol. 86(C), pages 1-30.
    2. Paul J.J. Welfens & Samir Kadiric, 2017. "Neuere Finanzmarktaspekte von Bankenkrise, QE-Politik und EU-Bankenaufsicht," EIIW Discussion paper disbei239, Universitätsbibliothek Wuppertal, University Library.

    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. Liu, Yan & Wu, Jing Cynthia, 2021. "Reconstructing the yield curve," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1395-1425.
    2. Johannes W. Fedderke, 2020. "Is the Phillips curve framework still useful for understanding inflation dynamics in South Africa," Working Papers 10142, South African Reserve Bank.
    3. Kim, Hyun Hak & Swanson, Norman R., 2018. "Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods," International Journal of Forecasting, Elsevier, vol. 34(2), pages 339-354.
    4. Oguzhan Cepni & I. Ethem Guney & Norman R. Swanson, 2020. "Forecasting and nowcasting emerging market GDP growth rates: The role of latent global economic policy uncertainty and macroeconomic data surprise factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 18-36, January.
    5. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers 2019-4, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    6. Valentin Haddad & David Sraer, 2020. "The Banking View of Bond Risk Premia," Journal of Finance, American Finance Association, vol. 75(5), pages 2465-2502, October.
    7. Daniel Borup & Jonas N. Eriksen & Mads M. Kjær & Martin Thyrsgaard, 2024. "Predicting Bond Return Predictability," Management Science, INFORMS, vol. 70(2), pages 931-951, February.
    8. Iván Kataryniuk & Víctor Mora-Bajén & Javier J. Pérez, 2021. "EMU deepening and sovereign debt spreads: using political space to achieve policy space," Working Papers 2103, Banco de España.
    9. Eriksen, Jonas N., 2017. "Expected Business Conditions and Bond Risk Premia," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(4), pages 1667-1703, August.
    10. Luciani, Matteo, 2014. "Forecasting with approximate dynamic factor models: The role of non-pervasive shocks," International Journal of Forecasting, Elsevier, vol. 30(1), pages 20-29.
    11. Niels Gilbert, 2019. "Euro area sovereign risk spillovers before and after the ECB's OMT announcement," DNB Working Papers 636, Netherlands Central Bank, Research Department.
    12. Fernandes, Marcelo & Vieira, Fausto, 2019. "A dynamic Nelson–Siegel model with forward-looking macroeconomic factors for the yield curve in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 106(C), pages 1-1.
    13. Liu, Feng & Kalotay, Egon & Trück, Stefan, 2018. "Assessing sovereign default risk: A bottom-up approach," Economic Modelling, Elsevier, vol. 70(C), pages 525-542.
    14. Alain Monfort & Jean-Paul Renne, 2011. "Credit and Liquidity Risks in Euro-area Sovereign Yield Curves," Working Papers 2011-26, Center for Research in Economics and Statistics.
    15. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2014. "Dynamic factor models: A review of the literature," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 73-107.
    16. Zaghini, Andrea, 2016. "Fragmentation and heterogeneity in the euro-area corporate bond market: Back to normal?," Journal of Financial Stability, Elsevier, vol. 23(C), pages 51-61.
    17. Daragh Clancy & Peter G. Dunne & Pasquale Filiani, 2019. "Liquidity and tail-risk interdependencies in the euro area sovereign bond market," Working Papers 41, European Stability Mechanism.
    18. Li, Jiahan & Chen, Weiye, 2014. "Forecasting macroeconomic time series: LASSO-based approaches and their forecast combinations with dynamic factor models," International Journal of Forecasting, Elsevier, vol. 30(4), pages 996-1015.
    19. Guillaume Horny & Simone Manganelli & Benoit Mojon, 2018. "Measuring Financial Fragmentation in the Euro Area Corporate Bond Market," JRFM, MDPI, vol. 11(4), pages 1-19, October.
    20. António Afonso & Frederico Silva Leal, 2017. "Sovereign yield spreads in the EMU: crisis and structural determinants," Working Papers Department of Economics 2017/09, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.

    More about this item

    Keywords

    bond risk premium; financial crisis; macro factors; model selection; variable selection;
    All these keywords.

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G01 - Financial Economics - - General - - - Financial Crises
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

    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:ecb:ecbwps:20161938. 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: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.html .

    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.