RAMSI: a top-down stress-testing model developed at the Bank of England
AbstractTop-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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Bank of England in its journal Bank of England Quarterly Bulletin.
Volume (Year): 52 (2012)
Issue (Month): 3 ()
Contact details of provider:
Postal: Publications Group Bank of England Threadneedle Street London EC2R 8AH
Phone: +44 (0)171 601 4030
Fax: +44 (0)171 601 5196
Web page: http://www.bankofengland.co.uk/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Piergiorgio Alessandri & Benjamin Nelson, 2014.
"Simple banking: profitability and the yield curve,"
Temi di discussione (Economic working papers)
945, Bank of Italy, Economic Research and International Relations Area.
- 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.
- David Aikman & Piergiorgio Alessandri & Bruno Eklund & Prasanna Gai & Sujit Kapadia & Elizabeth Martin & Nada Mora & Gabriel Sterne & Matthew Willison, 2009. "Funding Liquidity Risk in a Quantitative Model of Systemic Stability," Working Papers Central Bank of Chile 555, Central Bank of Chile.
- Aikman, David & Alessandri, Piergiorgio & Eklund, Bruno & Gai, Prasanna & Kapadia, Sujit & Martin, Elizabeth & Mora, Nada & Sterne, Gabriel & Willison, Matthew, 2009. "Funding liquidity risk in a quantitative model of systemic stability," Bank of England working papers 372, Bank of England.
- 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.
- 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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Publications Group).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 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.