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SEC Filings

10-Q
FEDERAL NATIONAL MORTGAGE ASSOCIATION FANNIE MAE filed this Form 10-Q on 05/06/2011
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they would have been due to delays caused by the servicer foreclosure process deficiencies and the resulting foreclosure pause.
 
Our 2009, 2010 and first quarter of 2011 vintages accounted for approximately 1% of our single-family credit losses for the first quarter of 2011. Typically, credit losses on mortgage loans do not peak until the third through fifth years following origination. We provide more detailed credit performance information, including serious delinquency rates by geographic region, statistics on nonperforming loans and foreclosure activity in “Risk Management—Credit Risk Management—Mortgage Credit Risk Management.”
 
Regulatory Hypothetical Stress Test Scenario
 
Under a September 2005 agreement with FHFA’s predecessor, the Office of Federal Housing Enterprise Oversight, we are required to disclose on a quarterly basis the present value of the change in future expected credit losses from our existing single-family guaranty book of business from an immediate 5% decline in single-family home prices for the entire United States. Although other provisions of the September 2005 agreement were suspended in March 2009 by FHFA until further notice, this disclosure requirement was not suspended. For purposes of this calculation, we assume that, after the initial 5% shock, home price growth rates return to the average of the possible growth rate paths used in our internal credit pricing models. The sensitivity results represent the difference between future expected credit losses under our base case scenario, which is derived from our internal home price path forecast, and a scenario that assumes an instantaneous nationwide 5% decline in home prices.
 
Table 14 compares the credit loss sensitivities for the periods indicated for first lien single-family whole loans we own or that back Fannie Mae MBS, before and after consideration of projected credit risk sharing proceeds, such as private mortgage insurance claims and other credit enhancements.
 
Table 14:  Single-Family Credit Loss Sensitivity(1)
 
                 
    As of  
    March 31,
    December 31,
 
    2011     2010  
    (Dollars in millions)  
 
Gross single-family credit loss sensitivity
  $ 26,774     $ 25,937  
Less: Projected credit risk sharing proceeds
    (2,581 )     (2,771 )
                 
Net single-family credit loss sensitivity
  $ 24,193     $ 23,166  
                 
Outstanding single-family whole loans and Fannie Mae MBS
  $ 2,815,575     $ 2,782,512  
Single-family net credit loss sensitivity as a percentage of outstanding single-family whole loans and Fannie Mae MBS
    0.86 %     0.83 %
 
 
(1) Represents total economic credit losses, which consist of credit losses and forgone interest. Calculations are based on 97% of our total single-family guaranty book of business as of both March 31, 2011 and December 31, 2010. The mortgage loans and mortgage-related securities that are included in these estimates consist of: (a) single-family Fannie Mae MBS (whether held in our mortgage portfolio or held by third parties), excluding certain whole loan REMICs and private-label wraps; (b) single-family mortgage loans, excluding mortgages secured only by second liens, subprime mortgages, manufactured housing chattel loans and reverse mortgages; and (c) long-term standby commitments. We expect the inclusion in our estimates of the excluded products may impact the estimated sensitivities set forth in this table.
 
Because these sensitivities represent hypothetical scenarios, they should be used with caution. Our regulatory stress test scenario is limited in that it assumes an instantaneous uniform 5% nationwide decline in home prices, which is not representative of the historical pattern of changes in home prices. Changes in home prices generally vary on a regional, as well as a local, basis. In addition, these stress test scenarios are calculated independently without considering changes in other interrelated assumptions, such as unemployment rates or other economic factors, which are likely to have a significant impact on our future expected credit losses.


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