Statistical AUPs Clause Samples

Statistical AUPs. Regulation 17(2)(a) - A record is kept for each asset in the asset pool. The Issuer provided us with a data file ‘[name.xlsx]’ (the “First Pool Run”) containing [number] pseudonymised loan identifiers for each loan in the Loan Pool as at [cut-off date] (the “Cut-off Date”). A random sample of [number in sample] loans was selected from the First Pool Run (the “Sample”) based on the pseudonymised loan identifiers, returning to the Issuer the Sample containing the Deloitte reference and pseudonymised loan identifiers. A file containing the look up of the encrypted information to the account number (the “Look-Up file”) was provided to us by the Issuer on-site. The Issuer undertakes to retain the Look-Up for the period in accordance with clause 6.6 of the Engagement Letter. The Issuer then provided us with the data file ‘[name.xlsx]’ (the “Sample Pool”) which contained the Deloitte reference, pseudonymised loan identifiers and other information on each loan in the Sample as at the Cut-off Date. We have compared the total number and value of loans included in the First Pool Run to the Programme’s investor report for the same period, published by the Issuer (the “Investor Report”) and found the following: Number First Pool Run [x] Investor Report [x] We have carried out the Statistical AUPs on the Sample Pool during the period [dates] using the following sampling approach. Sampling confidence is the probability that the actual errors, within a total population, are contained within the range of an estimate. Precision is the range of that estimate. The precision limit is the estimated maximum predicted number of errors within the total population. Sampling confidence and precision are stated in percentages. Attribute sampling is a method of assessing the rate of occurrences of a specified attribute in a population and requires agreed upon procedures in relation to certain characteristics of a random sample of individual loans. In this case the Statistical AUPs related to the documentation and authorisation procedures that support the Sample Pool contained in the First Pool Run. Our method of calculating attribute sample sizes is based on the binomial probability distribution. Statistical tests can only provide estimates of the error. The procedures we have undertaken, set out below, has been limited to confirming that the selected attribute from the First Pool Run information relating to the Sample Pool agreed to the original loan documentation or copies thereof p...