OPINION. On ancillary activity market size calculation. 1 Legal basis. 2 Background

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Date: 2 October 2018 ESMA70-156-478 OPINION On ancillary activity market size calculation 1 Legal basis 1. ESMA s competence to deliver an opinion to competent authorities is based on Article 29(1)(a) of Regulation (EC) No 1095/2010 of the European Parliament and of the Council of 24 November 2010 establishing a European Supervisory Authority (European Securities and Markets Authority) 1 (ESMA Regulation). 2. Pursuant to Article 29(1)(a) of the ESMA Regulation, ESMA shall provide opinions to competent authorities for the purpose of building a common Union supervisory culture and consistent supervisory practices, as well as ensuring uniform procedures and consistent approaches throughout the Union. 2 Background 3. Article 2 of Directive 2014/65/EU 2 ( MiFID II ) lays down the exemptions from its scope of application. According to point (j) of Article 2(1), MiFID II does not apply to persons dealing on own account or providing investment services in specific cases, including where their activity is an ancillary activity to their main business provided that certain conditions are met. 4. Commission Delegated Regulation (EU) 2017/592 (the Delegated Regulation ) 3 further specifies the criteria for establishing when an activity is to be considered as ancillary to the main business at a group level pursuant to paragraph 4 of Article 2 of MiFID II. 5. In particular, Article 2(3) of the Delegated Regulation lays down the rules for calculating the overall market trading activity. The calculation of the overall market trading activity is necessary for the establishment of the size of trading activity per market participant which ultimately determines whether an activity is ancillary, and hence, whether a market participant falls within the scope of MiFID II. 1 OJ L 331, 15.12.2010, p. 48. 2 Directive 2014/65/EU of the European Parliament and of the Council of 15 May 2014 on markets in financial instruments and amending Directive 2002/92/EC and Directive 2011/61/EU (recast) (OJ L 174, 1.7.2011, p.1). 3 Commission delegated regulation (EU) 2017/592 of 1 December 2016 supplementing Directive 2014/65/EU of the European Parliament and of the Council with regard to regulatory technical standards for the criteria to establish when an activity is considered to be ancillary to the main business. ESMA CS 60747 103 rue de Grenelle 75345 Paris Cedex 07 France Tel. +33 (0) 1 58 36 43 21 www.esma.europa.eu

6. However, it is challenging for national competent authorities and market participants to determine the market size figures since there is no centralised recording of onvenue and off-venue transactions for commodity derivatives and emission allowances which is publicly available. 7. As a result, national competent authorities and market participants have asked ESMA to provide guidance for the determination of the market size figures to ensure the correct application of Article 2(3) of the Delegated Regulation. 8. ESMA has considered that such guidance will contribute positively to the consistency of supervisory practices and will ensure a uniform approach throughout the Union, as a result of which, ESMA has decided to issue this Opinion. 3 Opinion 9. The guidance of ESMA is based on the methodology for the assembling of data described below. ESMA is aware that the data used for the guidance may bear some inherent limitations, including in respect of its accuracy and completeness. Therefore, competent authorities may consider any alternative data which market participants may provide for the purpose of application of Article 2(3) of the Delegated Regulation. General methodology 10. The data for the calculation of the on-venue market size was collected from the trading venues located in the EEA and is provided for the total of 2015, the second half of 2016, and for the total of 2017. 11. The data for the calculation of the OTC market size is based on reports submitted to the Trade Repositories (TRs) under Regulation (EU) No 648/2012 4. The computations have used the methodology specified in the consultation paper on the public data methodology review 5. Minor adjustments have been made when the availability of data required such adjustments. These data were calculated and annualised based on the second half of 2016 and for a 3-month period during 2017. 12. Given the partial availability of data, ESMA understands that the approximation of the total market size for 2016 and 2017 could be achieved by annualising the figures, and for the year 2015, assuming a similar proportion for OTC and on-venue activity during all years. 4 Regulation (EU) No 648/2012 of the European Parliament and of the Council of 4 July 2012 on OTC derivatives, central counterparties and trade repositories (OJ L201, 27.7.2012, p.1). 5 https://www.esma.europa.eu/sites/default/files/library/2016-1661_consultation_paper_on_tr_public_data_under_emir.pdf. 2

13. Since the OTC figures for the year 2017 were estimated based on a 3-month period and included summer months which may be characterised by less volume traded, the data should be taken with precaution. 14. The total market size for both on-venue and OTC markets, i.e. gross notional value traded was calculated on a dual-sided basis, that is both buyers and sellers notional values of each transaction was added to establish a gross notional value traded. This ensures comparability with the approach undertaken by market participants when calculating the size of their own commodity derivatives activity. 15. For the calculation of the notional amount of ETD option contracts the following formula was used: Notional amount of ETD option contracts = lot size quantity multiplier 7 strike price 6 The same formula should be used for the calculation of the numerator by market participants performing the ancillary activity test. Data quality measures 16. For TR data the following reconciliation procedure was applied. Each trade was classified into (I) single-sided (one reporting counterparty in the EEA) or double-sided (two reporting counterparties in the EEA) reports. The double-sided reports were (II) reconciled by selecting one of the two reports when possible (due to data issues this was not always the case), for the (III) unreconciled double-sided reports the notional was halved (i.e. the assumption was made that counterparties reported their transactions but did not use the same trade identifier). Then the single-sided market size was calculated, i.e. aggregation of the notional of the (I) single-sided reports and (II/III) double-sided reports. In the second step, this single-sided market size was doubled in order to provide the total volume traded. 17. With the aim of ensuring that the data provided by TRs is of sufficient quality, outliers have been identified and removed from the aggregation. Outlier thresholds were calculated according to several characteristics (e.g. instrument type) of the derivative reported. For this calculation ESMA considered any observation as an outlier that had a larger notional amount than the mean plus 3 times the standard deviation (lognormalized). The previous published note included a higher threshold which was adjusted reflecting the more granular selection of the outlier defining columns which now include commodity base and commodity details. 6 Multiplier: number of underlying instruments to be delivered for one contract 7 Quantity: number of contracts traded 3

18. In terms of outlier detection in the data reported by trading venues, large values were affirmed for a second time with the reporting entities. Asset classes specifications 19. In accordance with Article 2(1) of the Delegated Regulation, the market sizes are provided for the following asset classes: agricultural products, metals, oil and oil products, coal, gas, power, emission allowances and derivatives thereof and other commodities. 20. For OTC data 8 retrieved from TRs, the relevant classes of commodity derivatives were defined as follows: a. Agricultural products: commodity base reported as AG and commodity details reported as GO (grains oilseeds), DA (dairy), LI (livestock), FO (forestry) or SO (softs) b. Metals: commodity base reported as ME and commodity details reported as PR (precious) or NP (non-precious) c. Oil and oil products: commodity base reported as EN (energy) and commodity details reported as OI (oil) d. Coal: commodity base reported as EN (energy) and commodity details reported as CO (coal) e. Gas: commodity base reported as EN (energy) and commodity details reported as NG (natural gas) f. Power: commodity base reported as EN (energy) and commodity details reported as EL (electricity) or IE (inter-energy) g. Emission allowances and derivatives on emission allowances: commodity base reported as EV (environment) and commodity details reported as EM (emissions) h. Other commodities: commodity base reported as FR (freights), IN (index) or EX (exotic) as well as commodity base reported as EV (environment) and commodity details reported as WE (weather). 21. Commodity ETD data was determined on the basis of the data collected from trading venues. Such data was defined as follows 9 : 8 Reference period 01 July 2016 31 December 2016 and 01 May 2017 31 July 2017. 9 The selected value considered refer only to the fields that were populated with data. 4

a. Agricultural products: class reported as commodity derivatives and underlying type reported as AGRI b. Metals: class reported as commodity derivatives and underlying type reported as METL c. Oil and oil products: class reported as commodity derivatives, underlying type reported as NRGY (energy) and field energy type populated with OILP (oil), OtherBioFuels d. Coal: class reported as commodity derivatives, underlying type reported as NRGY (energy) and field energy type populated with COAL e. Gas: class reported as commodity derivatives, underlying type reported as NRGY (energy) and field energy type populated with NGAS (natural gas) f. Power: class reported as commodity derivatives, underlying type reported as NRGY (energy) and field energy type populated with ELEC (electricity) g. Emission allowances and derivatives on emission allowances: class reported as emission allowances and derivatives emission allowances h. Other commodities: class reported as C10 derivatives. 5

4 Estimates Values in million EUR, double-sided, annualised 2017 estimates - source: 12 months ETD data collected from the trading venues and annualised OTC totals based on 3 months (Jul'17-Sep 17) from EMIR reporting Class ETD OTC TOTAL Metals 24,871,559 6,574,209 31,445,768 Oil 41,719,988 2,933,111 44,653,099 Coal 228,777 15,995 244,772 Gas 666,315 112,793 779,108 Power 292,466 63,753 356,219 Agriculture 918,714 1,591,087 2,509,801 Other C(10) 17,966 1,772,815 1,790,781 Emission allowances and derivatives thereof 86,915 2,703 89,618 2016 estimates - source: annualised 6 months (Jul 16-Dec 16) ETD data collected from the trading venues and annualised OTC totals based on 6 months (Jul 16-Dec 16) from EMIR reporting Class ETD OTC TOTAL Metals 18,457,668 5,933,598 24,391,266 Oil 34,031,034 4,896,606 38,927,640 Coal 285,336 173,524 458,860 Gas 533,666 598,940 1,132,606 Power 359,720 519,390 879,110 Agriculture 1,111,462 1,730,626 2,842,088 Other C(10) 17,980 920,276 938,256 Emission allowances and derivatives thereof 60,760 4,978 65,738 2015 estimates - source: 12 months data collected from trading venues, OTC figures are unavailable for this period Class ETD Metals 21,601,715 Oil 33,732,345 Coal 183,756 Gas 743,103 Power 267,384 Agriculture 1,019,671 Other C(10) 26,420 Emission allowances 92,817 and derivatives thereof ESMA CS 60747 103 rue de Grenelle 75345 Paris Cedex 07 France Tel. +33 (0) 1 58 36 43 21 www.esma.europa.eu

Disclaimer The analysis displayed in this opinion incorporates data related to European Economic Area (EEA) / European Free Trade Association (EFTA) States based on the notifications received by ESMA, the publication of which does not affect the status of incorporation of relevant EU law into the EEA Agreement and any related legal consequences. Reported data under EMIR may be subject to future revisions, reflecting possible data quality issues and reporting completeness. 2