Examples of Aggregate Net Losses in a sentence
The sum of Aggregate Net Losses for the specified period and for all prior periods since the pool cut-off date, expressed as a percentage of total mortgage loans as of the pool cut-off date.
Aggregate Net Losses, expressed as a percentage of total mortgage loans at the beginning of the specified period.
As used in this table, Aggregate Net Losses means the aggregate Gross Losses for the mortgage loans that were liquidated during the specified period, reduced by (or, if Aggregate Subsequent Recoveries/Losses is a negative number, increased by) Aggregate Subsequent Recoveries/Losses for the specified period.
As used in this table, "Aggregate Net Losses" means the aggregate Gross Losses for the mortgage loans that were liquidated during the specified period, reduced by (or, if Aggregate Subsequent Recoveries/Losses is a negative number, increased by) Aggregate Subsequent Recoveries/Losses for the specified period.
As used in this table, "Aggregate Net Losses" of loans liquidated for the specified period divided by the scheduled balance of all mortgage loans at the beginning of the specified period.
The most effective strategy was peer messaging and finding new ways to automate savings (e.g., new lighting control settings).
To pass in a Theory Subject, a student shall have to secure minimum 30% of the maximum marks prescribed for the End Semester Examination (ESE) and 40% of marks in the aggregate of End Semester Examination (ESE) and sessional marks assigned for that particular subject, i.e. Minimum Passing Grade shall be “P”.
Aggregate Net Losses for the preceding Collection Period (a) Aggregate Principal Balance of Liquidated Receivables 0 0.00 (b) Net Liquidation Proceeds on any Liquidated Receivables 0.00 -------------------- Total Aggregate Net Losses for the preceding Collection Period 0.00 6.
The distinctive feature of the innovations examined in this study is that they are characterised as social.
Aggregate Net Losses on all Liquidated Receivables (Life-To-Date) 0 0.00 8.