📄 Extracted Text (306 words)
6. Please check the box beside the estimated year (if any) in which the average aggregate
notional amount ("AANA") of outstanding uncleared derivatives transactions concluded by
your group is expected to cross the corresponding threshold:
US AANA" Year EU AANA" Year
$3.0 trillion 2016 €3.0 trillion [20171
$2.25 trillion 2017 €2.25 trillion 2017
$1.5 trillion 2018 €1.5 trillion 2018
$0.75 trillion 2019 €0.75 trillion 2019
$8 billion1O 2020 €8 billion 2020
7. Please indicate whether you are subject to any other rules or regulation requiring the
mandatory margining of uncleared derivatives and, if so, your classification under such rules
or regulation:
Please note that DBAG may currently hold information on your classification under EMIR. To the
extent that you do not provide responses to this Self-Disclosure Letter, DBAG will continue to rely on
such information whether or not it reflects your current classification.
The information provided in this Self-Disclosure Letter is, to the best of our (the undersigned's)
knowledge and belief, accurate as of the date of completion of this Self-Disclosure Letter. We (the
undersigned) agree to promptly provide updates if any such information changes in any material
respect.
COUNTERPARTY NAME:17
By:
Name:
Title:
Date:
14
As calculated under PR Reg. or CFTC Reg., as applicable.
16
As calculated under EMIR.
16 Measured on the basis of "material swaps exposure" rather than US AANA.
17 If this Self-Disclosure Letter is being delivered by an agent or representative on behalf of one or more
principals, please insert "[name of agent/representative) as [agent / representative] for (name of
Counterpartyr Similarly, if this Self-Disclosure Letter is being delivered by a trustee on behalf of one or more
trusts or trust funds, please insert"(name of trustee] as trustee for (name of Counterpartyl."
Template Date: April 10, 2017
CONFIDENTIAL - PURSUANT TO FED. R. CRIM. P. 6(e) DB-SDNY-0067809
CONFIDENTIAL SDNY_GM_00213993
EFTA01373561
ℹ️ Document Details
SHA-256
64f6aff66acaf925af127a751fd4977ed9add84a67428d3a726560d6b5ddc07f
Bates Number
EFTA01373561
Dataset
DataSet-10
Document Type
document
Pages
1
Comments 0