IDEAS home Printed from https://ideas.repec.org/a/boe/qbullt/0081.html
   My bibliography  Save this article

RAMSI: a top-down stress-testing model developed at the Bank of England

Author

Listed:
  • Burrows, Oliver

    (Bank of England)

  • Learmonth, David

    (Bank of England)

  • McKeown, jack

    (Bank of England)

  • Williams, Richard

    (Bank of England)

Abstract

Top-down stress testing is one way of assessing the resilience of the financial system to the risks it might face now or in the future. The Risk Assessment Model of Systemic Institutions (RAMSI) developed at the Bank of England is an example of a top-down stress-testing model and is part of the Bank’s risk assessment toolkit. This article offers an overview of RAMSI and illustrates its use in the stress tests carried out during the IMF’s 2011 UK Financial Stability Assessment Program.

Suggested Citation

  • Burrows, Oliver & Learmonth, David & McKeown, jack & Williams, Richard, 2012. "RAMSI: a top-down stress-testing model developed at the Bank of England," Bank of England Quarterly Bulletin, Bank of England, vol. 52(3), pages 204-212.
    • Handle: RePEc:boe:qbullt:0081
    as

    Download full text from publisher

    File URL: https://www.bankofengland.co.uk/-/media/boe/files/quarterly-bulletin/2012/ramsi-a-top-down-stress-testing-model-developed-at-the-boe.pdf?la=en&hash=E6F6C6E3E24E57B5F9E27B4800995FA5FBDC1687
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Aikman & Piergiorgio Alessandri & Bruno Eklund & Prasanna Gai & Sujit Kapadia & Elizabeth Martin & Nada Mora & Gabriel Sterne & Matthew Willison, 2011. "Funding Liquidity Risk in a Quantitative Model of Systemic Stability," Central Banking, Analysis, and Economic Policies Book Series, in: Rodrigo Alfaro (ed.),Financial Stability, Monetary Policy, and Central Banking, edition 1, volume 15, chapter 12, pages 371-410, Central Bank of Chile.
    2. Piergiorgio Alessandri & Benjamin D. Nelson, 2015. "Simple Banking: Profitability and the Yield Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(1), pages 143-175, February.
    3. Piergiorgio Alessandri & Prasanna Gai & Sujit Kapadia & Nada Mora & Claus Puhr, 2009. "Towards a Framework for Quantifying Systemic Stability," International Journal of Central Banking, International Journal of Central Banking, vol. 5(3), pages 47-81, September.
    4. Burrows, Oliver & Learmonth, David & McKeown, Jack, 2012. "Financial Stability Paper No 17: RAMSI: a top-down stress-testing model," Bank of England Financial Stability Papers 17, Bank of England.
    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. Ebrahimi Kahou, Mahdi & Lehar, Alfred, 2017. "Macroprudential policy: A review," Journal of Financial Stability, Elsevier, vol. 29(C), pages 92-105.
    2. Pavel Kapinos & Oscar A. Mitnik, 2016. "A Top-down Approach to Stress-testing Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 49(2), pages 229-264, June.
    3. Farmer, J Doyne & Kleinnijenhuis, Alissa M & Nahai-Williamson, Paul & Wetzer, Thom, 2020. "Foundations of system-wide financial stress testing with heterogeneous institutions," Bank of England working papers 861, Bank of England.
    4. Tente, Natalia & von Westernhagen, Natalja & Slopek, Ulf, 2017. "M-PRESS-CreditRisk: A holistic micro- and macroprudential approach to capital requirements," Discussion Papers 15/2017, Deutsche Bundesbank.
    5. International Monetary Fund, 2016. "Argentina: Financial Sector Assessment Program-Financial Sector Stability-Technical Note," IMF Staff Country Reports 2016/065, International Monetary Fund.
    6. Annarelli, Alessandro & Nonino, Fabio, 2016. "Strategic and operational management of organizational resilience: Current state of research and future directions," Omega, Elsevier, vol. 62(C), pages 1-18.
    7. Butt, Nick & Pugh, Alice, 2014. "Credit spreads: capturing credit conditions facing households and firms," Bank of England Quarterly Bulletin, Bank of England, vol. 54(2), pages 137-148.
    8. Robert J. Powell & Duc H. Vo, 2020. "A Comprehensive Stability Indicator for Banks," Risks, MDPI, vol. 8(1), pages 1-15, February.
    9. Wiersema, Garbrand & Kleinnijenhuis, Alissa M. & Wetzer, Thom & Farmer, J. Doyne, 2023. "Scenario-free analysis of financial stability with interacting contagion channels," Journal of Banking & Finance, Elsevier, vol. 146(C).
    10. Bank for International Settlements, 2016. "Experiences with the ex ante appraisal of macroprudential instruments," CGFS Papers, Bank for International Settlements, number 56, december.
    11. Christoph Aymanns & J. Doyne Farmer & Alissa M. Keinniejenhuis & Thom Wetzer, 2017. "Models of Financial Stability and their Application in Stress Tests," Working Papers on Finance 1805, University of St. Gallen, School of Finance.
    12. Bank for International Settlements, 2020. "Stress testing in Latin America: A comparison of approaches and methodologies," BIS Papers, Bank for International Settlements, number 108.
    13. Robert McKeown, 2017. "How Vulnerable Is The Canadian Banking System To Fire-sales?," Working Paper 1381, Economics Department, Queen's University.
    14. Farmer, J. Doyne & Goodhart, C. A. E. & Kleinnijenhuis, Alissa M., 2021. "Systemic implications of the bail-in design," LSE Research Online Documents on Economics 111903, London School of Economics and Political Science, LSE Library.
    15. Warapong Wongwachara & Bovonvich Jindarak & Nuwat Nookhwun & Sophon Tunyavetchakit & Chutipha Klungjaturavet, 2018. "Integrating Monetary Policy and Financial Stability: A New Framework," PIER Discussion Papers 100, Puey Ungphakorn Institute for Economic Research.
    16. Patrick Van Roy & Stijn Ferrari & Cristina Vespro, 2018. "Sensitivity of credit risk stress test results: Modelling issues with an application to Belgium," Working Paper Research 338, National Bank of Belgium.
    17. Markus K. Brunnermeier & Patrick Cheridito, 2019. "Measuring and Allocating Systemic Risk," Risks, MDPI, vol. 7(2), pages 1-19, April.

    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. Mr. Christian Schmieder & Maher Hasan & Mr. Claus Puhr, 2011. "Next Generation Balance Sheet Stress Testing," IMF Working Papers 2011/083, International Monetary Fund.
    2. Burrows, Oliver & Learmonth, David & McKeown, Jack, 2012. "Financial Stability Paper No 17: RAMSI: a top-down stress-testing model," Bank of England Financial Stability Papers 17, Bank of England.
    3. Alessandri, Piergiorgio & Drehmann, Mathias, 2010. "An economic capital model integrating credit and interest rate risk in the banking book," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 730-742, April.
    4. Hana Hejlová & Zlatuše Komárková & Marek Rusnák, . "A Liquidity Risk Stress-Testing Framework with Basel Liquidity Standards," Prague Economic Papers, University of Economics, Prague, vol. 0.
    5. Henry, Jérôme & Zimmermann, Maik & Leber, Miha & Kolb, Markus & Grodzicki, Maciej & Amzallag, Adrien & Vouldis, Angelos & Hałaj, Grzegorz & Pancaro, Cosimo & Gross, Marco & Baudino, Patrizia & Sydow, , 2013. "A macro stress testing framework for assessing systemic risks in the banking sector," Occasional Paper Series 152, European Central Bank.
    6. Sujit Kapadia & Matthias Drehmann & John Elliott & Gabriel Sterne, 2012. "Liquidity Risk, Cash Flow Constraints, and Systemic Feedbacks," NBER Chapters, in: Quantifying Systemic Risk, pages 29-61, National Bureau of Economic Research, Inc.
    7. Koliai, Lyes, 2016. "Extreme risk modeling: An EVT–pair-copulas approach for financial stress tests," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 1-22.
    8. Patrick Van Roy & Stijn Ferrari & Cristina Vespro, 2018. "Sensitivity of credit risk stress test results: Modelling issues with an application to Belgium," Working Paper Research 338, National Bank of Belgium.
    9. Souza, Sergio Rubens Stancato de, 2016. "Capital requirements, liquidity and financial stability: The case of Brazil," Journal of Financial Stability, Elsevier, vol. 25(C), pages 179-192.
    10. Anand, Kartik & Gai, Prasanna & Kapadia, Sujit & Brennan, Simon & Willison, Matthew, 2013. "A network model of financial system resilience," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 219-235.
    11. Foti, Nicholas J. & Pauls, Scott & Rockmore, Daniel N., 2013. "Stability of the World Trade Web over time – An extinction analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 37(9), pages 1889-1910.
    12. Hana Hejlová & Zlatuše Komárková & Marek Rusnák, 2020. "A Liquidity Risk Stress-Testing Framework with Basel Liquidity Standards," Prague Economic Papers, Prague University of Economics and Business, vol. 2020(3), pages 251-273.
    13. Pawe{l} Smaga & Mateusz Wili'nski & Piotr Ochnicki & Piotr Arendarski & Tomasz Gubiec, 2016. "Can banks default overnight? Modeling endogenous contagion on O/N interbank market," Papers 1603.05142, arXiv.org.
    14. Batiz-Zuk, Enrique & López-Gallo, Fabrizio & Martínez-Jaramillo, Serafín & Solórzano-Margain, Juan Pablo, 2016. "Calibrating limits for large interbank exposures from a system-wide perspective," Journal of Financial Stability, Elsevier, vol. 27(C), pages 198-216.
    15. N. Foti & S. Pauls & Daniel N. Rockmore, 2011. "Stability of the World Trade Web over Time - An Extinction Analysis," Papers 1104.4380, arXiv.org, revised May 2011.
    16. Molyneux, Philip & Pancotto, Livia & Reghezza, Alessio & Rodriguez d'Acri, Costanza, 2022. "Interest rate risk and monetary policy normalisation in the euro area," Journal of International Money and Finance, Elsevier, vol. 124(C).
    17. Claus Puhr & Reinhardt Seliger & Michael Sigmund, 2012. "Contagiousness and Vulnerability in the Austrian Interbank Market," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 24, pages 62-78.
    18. Office of Financial Research (ed.), 2012. "Office of Financial Research 2012 Annual Report," Reports, Office of Financial Research, US Department of the Treasury, number 12-1.
    19. Nimrod Segev & Sigal Ribon & Michael Kahn & Jakob De Haan, 2021. "Low Interest Rates and Banks' Interest Margins: Does Deposit Market Concentration Matter?," Bank of Israel Working Papers 2021.16, Bank of Israel.
    20. Bargigli, Leonardo & Gallegati, Mauro, 2011. "Random digraphs with given expected degree sequences: A model for economic networks," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 396-411, May.

    More about this item

    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:boe:qbullt:0081. 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: Publications Group (email available below). General contact details of provider: https://edirc.repec.org/data/boegvuk.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.