EFTA01369101.pdf

DataSet-10 1 page 312 words document
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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 AANA1b Year $3.0 trillion 2016 E3.0 trillion (2017) $2.25 trillion 2017 €2.25 trillion 2017 $1.5 trillion 2018 E1.5 trillion 2018 $0.75 trillion 2019 €0.75 trillion 2019 $8 billion1' 2020 E8 billion 2020 7. Please indicate whether you are subjec to any other rules or regulaton requitng 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 E:17 „.,.-CD na' 'a d' e"mil 0501^1 ng/Vjf 664% Date: 4125 ( 2 ° , 4 14 As calculated under PR Reg. or CFTC Reg., as applicable. zS As calculated under EMIR. 16 Measured on the basis of "material swaps exposure" rather than US AANA. 17 1f 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 Counterparty)". Similarly, if this Self-Disclosure Letter is being delivered by a trustee on behalf of one or more trusts or trust funds, please insertiname of trustee) as trustee for (name of Counterparty)." CONFIDENTIAL - PURSUANT TO FED. R. CRIM. P. 6(e) DB-SDNY-0061191 CONFIDENTIAL SDNY_GM_00207375 EFTA01369101
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fbc1127d0d059ea1a82632f3eff8ee279d8fe8c2f2c772b2f570bf2fe20bcaf9
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EFTA01369101
Dataset
DataSet-10
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document
Pages
1

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