IDEAS home Printed from https://ideas.repec.org/p/cbi/wpaper/3-rt-18.html
   My bibliography  Save this paper

Sovereign Bond-Backed Securities: A VAR-for-VaR and Marginal Expected Shortfall Assessment

Author

Listed:
  • De Sola Perea, Maite

    (National Bank of Belgium)

  • Dunne, Peter G.

    (Central Bank of Ireland)

  • Puhl, Martin

    (Oesterreichishe Nationalbank)

  • Reininger, Thomas

    (Oesterreichishe Nationalbank)

Abstract

Brunnermeier et al., (2017) propose a securitisation solution for the bank-sovereign doom-loop. This shields senior tranche investors from actual defaults but whether it stabilises flight-to-safety panics is unclear. We apply dynamic VaR and Marginal Expected Shortfall methods to assess whether real-time risks to investors are attenuated by holding sovereign bond-backed securities. Price dynamics are derived using a Monte Carlo method. We find that holders of the senior tranche would be as safe as holders of German bunds. Mezzanine risk exposure would be moderate. The junior tranche experiences less severe shocks than high-risk sovereigns. The proposal significantly reduces destabilising market dynamics.

Suggested Citation

  • De Sola Perea, Maite & Dunne, Peter G. & Puhl, Martin & Reininger, Thomas, 2018. "Sovereign Bond-Backed Securities: A VAR-for-VaR and Marginal Expected Shortfall Assessment," Research Technical Papers 3/RT/18, Central Bank of Ireland.
  • Handle: RePEc:cbi:wpaper:3/rt/18
    as

    Download full text from publisher

    File URL: https://www.centralbank.ie/docs/default-source/publications/research-technical-papers/03rt18-sovereign-bond-backed-securities-a-var-for-var-and-marginal-expected-shortfall-assessment-(de-sola-perea-dunne-puhl-and-reininger).pdf?sfvrsn=4
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Markus K. Brunnermeier & Sam Langfield & Marco Pagano & Ricardo Reis & Stijn Van Nieuwerburgh & Dimitri Vayanos, 2017. "ESBies: safety in the tranches," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 32(90), pages 175-219.
    2. Markus K. Brunnermeier & Luis Garicano & Philip R. Lane & Marco Pagano & Ricardo Reis & Tano Santos & David Thesmar & Stijn Van Nieuwerburgh & Dimitri Vayanos, 2016. "The Sovereign-Bank Diabolic Loop and ESBies," American Economic Review, American Economic Association, vol. 106(5), pages 508-512, May.
    3. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    4. Christian Brownlees & Robert F. Engle, 2017. "SRISK: A Conditional Capital Shortfall Measure of Systemic Risk," Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 48-79.
    5. White, Halbert & Kim, Tae-Hwan & Manganelli, Simone, 2015. "VAR for VaR: Measuring tail dependence using multivariate regression quantiles," Journal of Econometrics, Elsevier, vol. 187(1), pages 169-188.
    6. Spyros Alogoskoufis & Sam Langfield, 2020. "Regulating the Doom Loop," International Journal of Central Banking, International Journal of Central Banking, vol. 16(4), pages 251-292, September.
    7. Tobias Adrian & Markus K. Brunnermeier, 2016. "CoVaR," American Economic Review, American Economic Association, vol. 106(7), pages 1705-1741, July.
      • Tobias Adrian & Markus K. Brunnermeier, 2008. "CoVaR," Staff Reports 348, Federal Reserve Bank of New York.
      • Tobias Adrian & Markus K. Brunnermeier, 2011. "CoVaR," NBER Working Papers 17454, National Bureau of Economic Research, Inc.
    8. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    9. Robert F. Engle & Simone Manganelli, 2004. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
    10. Chan, Joshua C.C. & Grant, Angelia L., 2016. "Modeling energy price dynamics: GARCH versus stochastic volatility," Energy Economics, Elsevier, vol. 54(C), pages 182-189.
    11. Sara Cecchetti & Antonio Di Cesare, 2012. "The Mathematics of the Relationship between the Default Risk and Yield-to-Maturity of Coupon Bonds," Papers 1203.6723, arXiv.org.
    12. Viral Acharya & Robert Engle & Matthew Richardson, 2012. "Capital Shortfall: A New Approach to Ranking and Regulating Systemic Risks," American Economic Review, American Economic Association, vol. 102(3), pages 59-64, May.
    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. Clancy, Daragh & Dunne, Peter G. & Filiani, Pasquale, 2019. "Liquidity and tail-risk interdependencies in the euro area sovereign bond market," Research Technical Papers 11/RT/19, Central Bank of Ireland.
    2. Cronin, David & Dunne, Peter G., 2019. "How effective are sovereign bond-backed securities as a spillover prevention device?," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 49-66.
    3. Makushkin, Mikhail & Lapshin, Victor, 2020. "Modelling tail dependencies between Russian and foreign stock markets: Application for market risk valuation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 57, pages 30-52.
    4. Peter G. Dunne, 2019. "Positive Liquidity Spillovers from Sovereign Bond-Backed Securities," JRFM, MDPI, vol. 12(2), pages 1-25, April.
    5. Clancy, Daragh & Gabriele, Carmine & Žigraiová, Diana, 2022. "Sovereign bond market spillovers from crisis-time developments in Greece," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    6. Frey, Rüdiger & Kurt, Kevin & Damian, Camilla, 2020. "How safe are european safe bonds? An analysis from the perspective of modern credit risk models," Journal of Banking & Finance, Elsevier, vol. 119(C).

    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. Su, Ender & Wong, Kai Wen, 2018. "Measuring bank downside systemic risk in Taiwan," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 172-193.
    2. Clancy, Daragh & Gabriele, Carmine & Žigraiová, Diana, 2022. "Sovereign bond market spillovers from crisis-time developments in Greece," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    3. Garcia-Jorcano, Laura & Sanchis-Marco, Lidia, 2021. "Systemic-systematic risk in financial system: A dynamic ranking based on expectiles," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 330-365.
    4. 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.
    5. Laura Garcia-Jorcano & Lidia Sanchis-Marco, 2023. "Measuring Systemic Risk Using Multivariate Quantile-Located ES Models," Journal of Financial Econometrics, Oxford University Press, vol. 21(1), pages 1-72.
    6. Dissem, Sonia & Lobez, Frederic, 2020. "Correlation between the 2014 EU-wide stress tests and the market-based measures of systemic risk," Research in International Business and Finance, Elsevier, vol. 51(C).
    7. Denisa Banulescu-Radu & Christophe Hurlin & Jérémy Leymarie & Olivier Scaillet, 2021. "Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures," Management Science, INFORMS, vol. 67(9), pages 5730-5754, September.
    8. Gehrig, Thomas & Iannino, Maria Chiara, 2021. "Did the Basel Process of capital regulation enhance the resiliency of European banks?," Journal of Financial Stability, Elsevier, vol. 55(C).
    9. Gang-Jin Wang & Chi Xie & Kaijian He & H. Eugene Stanley, 2017. "Extreme risk spillover network: application to financial institutions," Quantitative Finance, Taylor & Francis Journals, vol. 17(9), pages 1417-1433, September.
    10. Chao, Shih-Kang & Härdle, Wolfgang K. & Yuan, Ming, 2021. "Factorisable Multitask Quantile Regression," Econometric Theory, Cambridge University Press, vol. 37(4), pages 794-816, August.
    11. Morelli, Giacomo, 2023. "Stochastic ordering of systemic risk in commodity markets," Energy Economics, Elsevier, vol. 117(C).
    12. Timo Dimitriadis & Yannick Hoga, 2022. "Dynamic CoVaR Modeling," Papers 2206.14275, arXiv.org, revised Feb 2024.
    13. Moratis, Georgios & Sakellaris, Plutarchos, 2021. "Measuring the systemic importance of banks," Journal of Financial Stability, Elsevier, vol. 54(C).
    14. Jondeau, Eric & Khalilzadeh, Amir, 2022. "Predicting the stressed expected loss of large U.S. banks," Journal of Banking & Finance, Elsevier, vol. 134(C).
    15. Pham, Thach N. & Powell, Robert & Bannigidadmath, Deepa, 2021. "Systemically important banks in Asian emerging markets: Evidence from four systemic risk measures," Pacific-Basin Finance Journal, Elsevier, vol. 70(C).
    16. Sulkhan Chavleishvili & Simone Manganelli, 2024. "Forecasting and stress testing with quantile vector autoregression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 66-85, January.
    17. Abedifar, Pejman & Giudici, Paolo & Hashem, Shatha Qamhieh, 2017. "Heterogeneous market structure and systemic risk: Evidence from dual banking systems," Journal of Financial Stability, Elsevier, vol. 33(C), pages 96-119.
    18. Brownlees, Christian & Souza, André B.M., 2021. "Backtesting global Growth-at-Risk," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 312-330.
    19. Tobias Adrian & Markus K. Brunnermeier, 2016. "CoVaR," American Economic Review, American Economic Association, vol. 106(7), pages 1705-1741, July.
      • Tobias Adrian & Markus K. Brunnermeier, 2008. "CoVaR," Staff Reports 348, Federal Reserve Bank of New York.
      • Tobias Adrian & Markus K. Brunnermeier, 2011. "CoVaR," NBER Working Papers 17454, National Bureau of Economic Research, Inc.
    20. Geraci, Marco Valerio & Gnabo, Jean-Yves, 2018. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying Vector Autoregressions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1371-1390, June.

    More about this item

    Keywords

    Safe Assets; Sovereign Bonds; Value-at-Risk; Spillover; CAViaR; Co-Dependence;
    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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E53 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Deposit Insurance
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:cbi:wpaper:3/rt/18. 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: Fiona Farrelly (email available below). General contact details of provider: https://edirc.repec.org/data/cbigvie.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.