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Expected Loss Covered Bond Model

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These haircuts have been calculated by looking at what the percentage of the Collateral Score is required to<br />

enhance the Cover Pool to its target rating. For example, if the Cover Pool rating that is required to achieve the<br />

target covered bond rating is Aa1, then a 25-35% reduction in the Collateral Score may be applied in the Moody’s<br />

EL <strong>Model</strong>.<br />

The haircut to the Collateral Score is subject to a maximum of 60%. The reason for this is that a certain level of<br />

losses might be expected to impact the Cover Pool following Issuer Default, and also this is approximately the<br />

amount of equity that would be required to fund the Cover Pool if it were refinanced as a structured finance<br />

transaction.<br />

How the grids were prepared<br />

There are two key inputs in the generation of the grid tables above.<br />

• A minimum asset correlation for any pair of ratings. For the standard correlation table this minimum is<br />

higher than for the low correlation table. 9<br />

• The “theoretical asset correlation”. This is used where this is higher than the minimum asset correlation<br />

inputs mentioned above. The theoretical asset correlation was calculated by considering the maximum<br />

and minimum correlation levels which in turn were derived with the help of the following well-established<br />

formula. 10 P(<br />

A I B)<br />

− P(<br />

A)<br />

P(<br />

B)<br />

Corr(<br />

A,<br />

B)<br />

=<br />

,<br />

P(<br />

A)(1<br />

− P(<br />

A))<br />

P(<br />

B)(1<br />

− P(<br />

B))<br />

where P(X<br />

) denotes the probability that entity X defaults during the horizon of interest, and<br />

Corr( A,<br />

B)<br />

denotes the default correlation between entities A and B .<br />

The theoretical maximum correlation between two entities based solely on ratings (hence default probabilities) is<br />

obtained by setting the expression P( A I B)<br />

in the above equation to the default probability of the higher rated<br />

entity.<br />

By contrast, the theoretical minimum is obtained by first observing that the lowest joint default probability for any<br />

pair of entities is equal to the lowest historically observed default probability for any entity; that is, this quantity is<br />

equal to the probability of default of a single Aaa-rated entity. In practice, for all pairs of entities, we therefore set<br />

P( A I B) equal to P (A)<br />

in the above equation, where A in this instance denotes a Aaa-rated entity.<br />

The impact of taking the higher of the key inputs above is that the “average” asset correlation used when achieving<br />

a Aaa rating using the standard correlation grid is over 50%, while the asset correlation using the low correlation<br />

grid is in region of 40%.<br />

9<br />

To calculate these asset correlations, Moody’s has studied the historic observed correlations of rating movements between corporate and<br />

financial institution issuers. For more information, see Moody’s Revisits Its Assumptions Regarding Corporate Default (and Asset) Correlations<br />

for CDOs November 2004.<br />

10<br />

See Default Correlation and Credit Analysis, Douglas J. Lucas, March 1995.<br />

12 • Moody’s Investors Service European <strong>Covered</strong> <strong>Bond</strong> Rating Methodology

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