Regulation (EU) No 575/2013 of the European Parliament and of the Council of 26 June 2013 on prudential requirements for credit institutions and investment firms and amending Regulation (EU) No 648/2012 Text with EEA relevance
Subsection 2 Own funds requirements for the default risk for securitisations not included in the ACTP
Article 325z
Jump-to-default amounts
Gross jump-to-default amounts for securitisation exposures shall be their market value or, if their market value is not available, their fair value determined in accordance with the applicable accounting framework.
Net jump-to-default amounts shall be determined by offsetting long gross jump-to-default amounts and short gross jump-to-default amounts. Offsetting shall only be possible between securitisation exposures with the same underlying asset pool and belonging to the same tranche. No offsetting shall be permitted between securitisation exposures with different underlying asset pools, even where the attachment and detachment points are the same.
Where, by decomposing or combining existing securitisation exposures, other existing securitisation exposures can be perfectly replicated, except for the maturity dimension, the exposures resulting from that decomposition or combination may be used instead of the existing securitisation exposures for the purposes of offsetting.
Where, by decomposing or combining existing exposures in underlying names, the entire tranche structure of an existing securitisation exposure can be perfectly replicated, the exposures resulting from that decomposition or combination may be used instead of the existing securitisation exposures for the purposes of offsetting. Where underlying names are used in that manner, they shall be removed from the non-securitisation default risk treatment.
5. Article 325x shall apply to both existing securitisation exposures and to securitisation exposures used in accordance with paragraph 3 or 4 of this Article. The relevant maturities shall be those of the securitisation tranches.
Article 325aa
Calculation of the own funds requirement for the default risk for securitisations
Net JTD amounts of securitisation exposures shall be multiplied by 8 % of the risk weight that applies to the relevant securitisation exposure, including STS securitisations, in the non-trading book in accordance with the hierarchy of approaches set out in Section 3 of Chapter 5 of Title II and irrespective of the type of counterparty.
A maturity of one year shall be applied to all tranches, where risk weights are calculated in accordance with the SEC-IRBA and SEC-ERBA.
The risk-weighted JTD amounts for individual cash securitisation exposures shall be capped at the fair value of the position.
Risk-weighted net JTD amounts shall be assigned to the following buckets:
- (a) one common bucket for all corporates, regardless of the region;
- (b) 44 different buckets corresponding to one bucket per region for each of the 11 asset classes defined in the second subparagraph.
For the purposes of the first subparagraph, the 11 asset classes are ABCP, auto loans/leases, residential mortgage-backed securities (RMBS), credit cards, commercial mortgage-backed securities (CMBS), collateralised loan obligations, collateralised debt obligations squared (CDO-squared), small and medium-sized enterprises (SMEs), student loans, other retail, other wholesale. The four regions are Asia, Europe, North America, and rest of the world.
In order to assign a securitisation exposure to a bucket, institutions shall rely on a classification commonly used in the market. Institutions shall assign each securitisation exposure to only one of the buckets referred to in paragraph 4. Any securitisation exposure that an institution cannot assign to a bucket for an asset class or region shall be assigned to the asset class ‘other retail’ or ‘other wholesale’ or to the region ‘rest of the world’, respectively.
Weighted net JTD amounts shall be aggregated within each bucket in the same manner as for default risk of non-securitisation exposures, using the formula in Article 325y(4), resulting in the own funds requirement for the default risk for each bucket.
7. The final own funds requirement for the default risk for securitisations not included in the ACTP shall be calculated as the simple sum of the bucket-level own funds requirements.
Subsection 3 Own funds requirements for the default risk for securitisations included in the ACTP
Article 325ab
Scope
1. For the ACTP, the own funds requirements shall include the default risk for securitisation exposures and for non-securitisation hedges. Those hedges shall be removed from the default risk calculations for non-securitisation. There shall be no diversification benefit between the own funds requirements for the default risk for non-securitisations, the own funds requirements for the default risk for securitisations not included in the ACTP and own funds requirements for the default risk for securitisations included in the ACTP.
Article 325ac
Jump-to-default amounts for the ACTP
For the purposes of this Article, the following definitions apply:
- (a) ‘decomposition with a valuation model’ means that a single name constituent of a securitisation is valued as the difference between the unconditional value of the securitisation and the conditional value of the securitisation assuming that single name defaults with an LGD of 100 %;
- (b) ‘replication’ means that the combination of individual securitisation index tranches are combined to replicate another tranche of the same index series, or to replicate an untranched position in the index series;
- (c) ‘decomposition’ means replicating an index by a securitisation of which the underlying exposures in the pool are identical to the single name exposures that compose the index.
The gross JTD amounts for securitisation exposures and non-securitisation exposures in the ACTP shall be their market value or, if their market value is not available, their fair value determined in accordance with the applicable accounting framework.
Nth-to-default products shall be treated as tranched products with the following attachment and detachment points:
- (a) attachment point = (N – 1) / Total Names;
- (b) detachment point = N / Total Names; where ‘Total Names’ shall be the total number of names in the underlying basket or pool.
Net JTD amounts shall be determined by offsetting long gross JTD amounts and short gross JTD amounts. Offsetting shall only be possible between exposures that are otherwise identical except for maturity. Offsetting shall only be possible as follows:
- (a) for indices, index tranches and bespoke tranches, offsetting shall be possible across maturities within the same index family, series and tranche, subject to the provisions on exposures of less than one year laid down in Article 325x; long gross JTD amounts and short gross JTD amounts that perfectly replicate each other may be offset through decomposition into single name equivalent exposures using a valuation model; in such cases, the sum of the gross JTD amounts of the single name equivalent exposures obtained through decomposition shall be equal to the gross JTD amount of the undecomposed exposure;
- (b) offsetting through decomposition as set out is point (a) shall not be allowed for resecuritisations or derivatives on securitisation;
- (c) for indices and index tranches, offsetting shall be possible across maturities within the same index family, series and tranche by replication or by decomposition; where the long exposures and short exposures are otherwise equivalent, apart from one residual component, offsetting shall be allowed and the net JTD amount shall reflect the residual exposure;
- (d) different tranches of the same index series, different series of the same index and different index families may not be used to offset each other.
Article 325ad
Calculation of the own funds requirements for the default risk for the ACTP
Net JTD amounts shall be multiplied by:
- (a) for non-tranched products, the default risk weights corresponding to their credit quality as specified in Article 325y(1) and (2);
- (b) for tranched products, the default risk weights referred to in Article 325aa(1).
Risk-weighted net JTD amounts shall be assigned to buckets that correspond to an index.
Weighted net JTD amounts shall be aggregated within each bucket in accordance with the following formula:
Image omitted; see official source
where:
| DRCb | = | the own funds requirement for the default risk for bucket b; |
| --- | --- | --- |
| i | = | an instrument belonging to bucket b; and |
| --- | --- | --- |
| WtSACTP | = | the ratio recognising a benefit for hedging relationships within a bucket, which shall be calculated in accordance with the WtS formula set out in Article 325y(4), but using long positions and short positions across the entire ACTP and not just the positions in the particular bucket. |
Institutions shall calculate the own funds requirements for the default risk for the ACTP by using the following formula:
Image omitted; see official source
where:
| DRCACTP | = | the own funds requirement for the default risk for the ACTP; and |
| | | |
| --- | --- | --- | | DRCb | = | the own funds requirement for the default risk for bucket b. |
Section 6 Risk weights and correlations
Subsection 1 Delta risk weights and correlations
Article 325ae
Risk weights for general interest rate risk
1. For currencies not included in the most liquid currency sub-category as referred to in point (b) Article 325bd(7), the risk weights of the sensitivities to the risk-free rate risk factors shall be the following:
Table 3
| Bucket | Maturity | Risk Weight |
|---|---|---|
| 1 | 0,25 years | 1,7 % |
| 2 | 0,5 years | 1,7 % |
| 3 | 1 year | 1,6 % |
| 4 | 2 years | 1,3 % |
| 5 | 3 years | 1,2 % |
| 6 | 5 years | 1,1 % |
| 7 | 10 years | 1,1 % |
| 8 | 15 years | 1,1 % |
| 9 | 20 years | 1,1 % |
| 10 | 30 years | 1,1 % |
Institutions shall apply a risk weight of 1,6 % to all sensitivities of inflation and to cross currency basis risk factors.
The risk weights of risk factors based on the currencies included in the most liquid currency sub-category as referred to in Article 325bd(7), point (b), and the domestic currency of the institution shall be the following:
- (a) for risk-free rate risk factors, the risk weights referred to in paragraph 1, Table 3, of this Article divided by Image omitted; see official source;
- (b) for inflation risk factor and cross currency basis risk factors, the risk weights referred to in paragraph 2 of this Article divided by Image omitted; see official source.
Article 325af
Intra bucket correlations for general interest rate risk
Between two weighted sensitivities of general interest rate risk factors WSk and WSl within the same bucket, and with the same assigned maturity but corresponding to different curves, correlation ρkl shall be set at 99,90 %.
Between two weighted sensitivities of general interest rate risk factors WSk and WSl within the same bucket, corresponding to the same curve, but having different maturities, correlation shall be set in accordance with the following formula:
Image omitted; see official source
where:
| Tk (respectivelyTl) | = | the maturity that relates to the risk free rate; |
| --- | --- | --- |
| θ | = | 3 % |
Between two weighted sensitivities of general interest rate risk factors WSk and WSl within the same bucket, corresponding to different curves and having different maturities, the correlation ρkl shall be equal to the correlation parameter specified in paragraph 2, multiplied by 99,90 %.
Between any given weighted sensitivity of general interest rate risk factors WSk and any given weighted sensitivity of inflation risk factors WSl, the correlation shall be set at 40 %.
5. Between any given weighted sensitivity of cross-currency basis risk factors WSk and any given weighted sensitivity of general interest rate risk factors WSl, including another cross-currency basis risk factor, the correlation shall be set at 0 %.
Article 325ag
Correlations across buckets for general interest rate risk
The parameter γbc = 50 % shall be used to aggregate risk factors belonging to different buckets.
2. The parameter γbc = 80 % shall be used to aggregate an interest rate risk factor based on a currency as referred to in Article 325av(3) and an interest rate risk factor based on the euro.
Article 325ah
Risk weights for credit spread risk for non-securitisations
1. Risk weights for the sensitivities to credit spread risk factors for non-securitisations shall be the same for all maturities (0,5 years, 1 year, 3 years, 5 years, 10 years) within each bucket in Table 4:
Table 4
| Bucket number | Credit quality | Sector | Risk weight |
|---|---|---|---|
| 1 | All | Central government, including central banks, of Member States | 0,5 % |
| 2 | Credit quality step 1 to 3 | Central government, including central banks, of a third country, multilateral development banks and international organisations referred to in Article 117(2) or Article 118 | 0,5 % |
| 3 | Credit quality step 1 to 3 | Regional or local authority and public sector entities | 1,0 % |
| 4 | Credit quality step 1 to 3 | Financial sector entities including credit institutions incorporated or established by a central government, a regional government or a local authority and promotional lenders | 5,0 % |
| 5 | Credit quality step 1 to 3 | Basic materials, energy, industrials, agriculture, manufacturing, mining and quarrying | 3,0 % |
| 6 | Credit quality step 1 to 3 | Consumer goods and services, transportation and storage, administrative and support service activities | 3,0 % |
| 7 | Credit quality step 1 to 3 | Technology, telecommunications | 2,0 % |
| 8 | Credit quality step 1 to 3 | Health care, utilities, professional and technical activities | 1,5 % |
| 9 | Covered bonds issued by credit institutions established in Member States | 1,0 % | |
| 10 | Credit quality step 1 | Covered bonds issued by credit institutions in third countries | 1,5 % |
| 10 | Credit quality steps 2 to 3 | Covered bonds issued by credit institutions in third countries | 2,5 % |
| 11 | Credit quality step 4 to 6 and unrated | Central government, including central banks, of a third country, multilateral development banks and international organisations referred to in Article 117(2) or Article 118 | 2 % |
| 12 | Credit quality step 4 to 6 and unrated | Regional or local authority and public sector entities | 4,0 % |
| 13 | Credit quality step 4 to 6 and unrated | Financial sector entities, including credit institutions incorporated or established by a central government, a regional government or a local authority, promotional lenders and covered bonds | 12,0 % |
| 14 | Credit quality step 4 to 6 and unrated | Basic materials, energy, industrials, agriculture, manufacturing, mining and quarrying | 7,0 % |
| 15 | Credit quality step 4 to 6 and unrated | Consumer goods and services, transportation and storage, administrative and support service activities | 8,5 % |
| 16 | Credit quality step 4 to 6 and unrated | Technology, telecommunications | 5,5 % |
| 17 | Credit quality step 4 to 6 and unrated | Health care, utilities, professional and technical activities | 5,0 % |
| 18 | Other sector | Other sector | 12,0 % |
| 19 | Listed credit indices with a majority of its individual constituents being investment grade | Listed credit indices with a majority of its individual constituents being investment grade | 1,5 % |
| 20 | Listed credit indices with a majority of its individual constituents being non-investment grade or unrated | Listed credit indices with a majority of its individual constituents being non-investment grade or unrated | 5 % |
For the purposes of this Article, an exposure shall be assigned the credit quality category corresponding to the credit quality category that it would be assigned under the standardised approach for credit risk set out in Title II, Chapter 2.
To assign a risk exposure to a sector, institutions shall rely on a classification that is commonly used in the market for grouping issuers by sector. Institutions shall assign each issuer to only one of the sector buckets in Table 4. Risk exposures from any issuer that an institution cannot assign to a sector in such a manner shall be assigned to bucket 18 in Table 4.
3. By way of derogation from paragraph 2, institutions may assign a risk exposure of an unrated covered bond to bucket 4 where the institution that issued the covered bond has credit quality step 1 to 3.
Article 325ai
Intra-bucket correlations for credit spread risk for non-securitisations
The correlation parameter ρk
l between two sensitivities WSk and WSl within the same bucket shall be set as follows:
ρkl = ρkl (name) · ρkl (tenor) · ρkl (basis)
where:
ρkl (name) shall be equal to 1 where the two names of sensitivities k and l are identical; it shall be equal to 35 % where the two names of sensitivities k and l are in buckets 1 to 18 in Article 325ah(1), Table 4, otherwise it shall be equal to 80 %;
ρkl (tenor) shall be equal to 1 where the two vertices of the sensitivities k and l are identical, otherwise it shall be equal to 65 %; and
ρkl (basis) shall be equal to 1 where the two sensitivities are related to the same curves, otherwise it shall be equal to 99,90 %.
The correlation parameters referred to in paragraph 1 of this Article shall not apply to bucket 18 in Table 4 of Article 325ah(1). The capital requirement for the delta risk aggregation formula within bucket 18 shall be equal to the sum of the absolute values of the net weighted sensitivities allocated to that bucket:
Image omitted; see official source
Article 325aj
Correlations across buckets for credit spread risk for non-securitisations
The correlation parameter γbc that applies to the aggregation of sensitivities between different buckets shall be set as follows:
γbc = γbc (rating) · γbc (sector)
where:
γbc (rating) shall be equal to:
- (a) 1, where buckets b and c are buckets 1 to 17 and both buckets have the same credit quality category (either credit quality step 1 to 3 or credit quality step 4 to 6); otherwise it shall be equal to 50 %; for the purposes of that calculation, bucket 1 shall be considered as belonging to the same credit quality category as buckets that have credit quality step 1 to 3;
- (b) 1, where either bucket b or c is bucket 18;
- (c) 1, where bucket b or c is bucket 19 and the other bucket has credit quality step 1 to 3; otherwise it shall be equal to 50 %;
- (d) 1, where bucket b or c is bucket 20 and the other bucket has credit quality step 4 to 6; otherwise it shall be equal to 50 %;
γbc
(sector) shall be equal to 1 where the two buckets belong to the same sector, and otherwise shall be equal to the corresponding percentage set out in Table 5:
Table 5
| Bucket | 1, 2 and 11 | 3 and 12 | 4 and 13 | 5 and 14 | 6 and 15 | 7 and 16 | 8 and 17 | 9 and 10 | 18 | 19 | 20 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1, 2 and 11 | | 75 % | 10 % | 20 % | 25 % | 20 % | 15 % | 10 % | 0 % | 45 % | 45 % | | 3 and 12 | | | 5 % | 15 % | 20 % | 15 % | 10 % | 10 % | 0 % | 45 % | 45 % | | 4 and 13 | | | | 5 % | 15 % | 20 % | 5 % | 20 % | 0 % | 45 % | 45 % | | 5 and 14 | | | | | 20 % | 25 % | 5 % | 5 % | 0 % | 45 % | 45 % | | 6 and 15 | | | | | | 25 % | 5 % | 15 % | 0 % | 45 % | 45 % | | 7 and 16 | | | | | | | 5 % | 20 % | 0 % | 45 % | 45 % | | 8 and 17 | | | | | | | | 5 % | 0 % | 45 % | 45 % | | 9 and 10 | | | | | | | | | 0 % | 45 % | 45 % | | 18 | | | | | | | | | | 0 % | 0 % | | 19 | | | | | | | | | | | 75 % | | 20 | | | | | | | | | | | |
Article 325ak
Risk weights for credit spread risk for securitisations included in the ACTP
Risk weights for the sensitivities to credit spread risk factors for securitisations included in the ACTP risk factors shall be the same for all maturities (0,5 years, 1 year, 3 years, 5 years, 10 years) within each bucket and shall be specified for each bucket in Table 6 pursuant to the delegated act referred to in Article 461a:
Table 6
| Bucket number | Credit quality | Sector | Risk weight |
|---|---|---|---|
| 1 | All | Central government, including central banks, of Member States | 4,0 % |
| 2 | Credit quality step 1 to 10 | Central government, including central banks, of a third country, multilateral development banks and international organisations referred to in Article 117(2) or Article 118 | 4,0 % |
| 3 | Credit quality step 1 to 10 | Regional or local authority and public sector entities | 4,0 % |
| 4 | Credit quality step 1 to 10 | Financial sector entities including credit institutions incorporated or established by a central government, a regional government or a local authority and promotional lenders | 8,0 % |
| 5 | Credit quality step 1 to 10 | Basic materials, energy, industrials, agriculture, manufacturing, mining and quarrying | 5,0 % |
| 6 | Credit quality step 1 to 10 | Consumer goods and services, transportation and storage, administrative and support service activities | 4,0 % |
| 7 | Credit quality step 1 to 10 | Technology, telecommunications | 3,0 % |
| 8 | Credit quality step 1 to 10 | Health care, utilities, professional and technical activities | 2,0 % |
| 9 | Credit quality step 1 to 10 | Covered bonds issued by credit institutions established in Member States | 3,0 % |
| 10 | Credit quality step 1 to 10 | Covered bonds issued by credit institutions in third countries | 6,0 % |
| 11 | Credit quality step 11 to 17 | Central government, including central banks, of a third country, multilateral development banks and international organisations referred to in Article 117(2) or Article 118 | 13,0 % |
| 12 | Credit quality step 11 to 17 | Regional or local authority and public sector entities | 13,0 % |
| 13 | Credit quality step 11 to 17 | Financial sector entities, including credit institutions incorporated or established by a central government, a regional government or a local authority, promotional lenders and covered bonds | 16,0 % |
| 14 | Credit quality step 11 to 17 | Basic materials, energy, industrials, agriculture, manufacturing, mining and quarrying | 10,0 % |
| 15 | Credit quality step 11 to 17 | Consumer goods and services, transportation and storage, administrative and support service activities | 12,0 % |
| 16 | Credit quality step 11 to 17 | Technology, telecommunications | 12,0 % |
| 17 | Credit quality step 11 to 17 | Health care, utilities, professional and technical activities | 12,0 % |
| 18 | Other sector | Other sector | 13,0 % |
For the purposes of this Article, an exposure shall be assigned the credit quality category corresponding to the credit quality category that it would be assigned under the standardised approach for credit risk set out in Title II, Chapter 2.
By way of derogation from the second paragraph, institutions may assign a risk exposure of an unrated covered bond to bucket 4 where the institution that issues the covered bond has a credit quality step 1 to 3.
Article 325al
Correlations for credit spread risk for securitisations included in the ACTP
The delta risk correlation ρk
l shall be derived in accordance with Article 325ai, except that, for the purposes of this paragraph, ρk l (basis) shall be equal to 1 where the two sensitivities are related to the same curves, otherwise it shall be equal to 99,00 %.
2. The correlation γb
c shall be derived in accordance with Article 325aj.
Article 325am
Risk weights for credit spread risk for securitisations not included in the ACTP
1. Risk weights for the sensitivities to credit spread risk factors for securitisation not included in the ACTP shall be the same for all maturities (0,5 years, 1 year, 3 years, 5 years, 10 years) within each bucket in Table 7 and shall be specified for each bucket in Table 7 pursuant to the delegated act referred to in Article 461a:
Table 7
| Bucket number | Credit quality | Sector | Risk weight |
|---|---|---|---|
| 1 | Senior and credit quality step 1 to 10 | RMBS — Prime | 0,9 % |
| 2 | Senior and credit quality step 1 to 10 | RMBS — Mid-Prime | 1,5 % |
| 3 | Senior and credit quality step 1 to 10 | RMBS — Sub-Prime | 2,0 % |
| 4 | Senior and credit quality step 1 to 10 | CMBS | 2,0 % |
| 5 | Senior and credit quality step 1 to 10 | Asset backed securities (ABS) — Student loans | 0,8 % |
| 6 | Senior and credit quality step 1 to 10 | ABS — Credit cards | 1,2 % |
| 7 | Senior and credit quality step 1 to 10 | ABS — Auto | 1,2 % |
| 8 | Senior and credit quality step 1 to 10 | Collateralised loan obligations (CLO) non-ACTP | 1,4 % |
| 9 | Non-senior and credit quality step 1 to 10 | RMBS — Prime | 1,125 % |
| 10 | Non-senior and credit quality step 1 to 10 | RMBS — Mid-Prime | 1,875 % |
| 11 | Non-senior and credit quality step 1 to 10 | RMBS — Sub-Prime | 2,5 % |
| 12 | Non-senior and credit quality step 1 to 10 | CMBS | 2,5 % |
| 13 | Non-senior and credit quality step 1 to 10 | ABS — Student loans | 1 % |
| 14 | Non-senior and credit quality step 1 to 10 | ABS — Credit cards | 1,5 % |
| 15 | Non-senior and credit quality step 1 to 10 | ABS — Auto | 1,5 % |
| 16 | Non-senior and credit quality step 1 to 10 | CLO non-ACTP | 1,75 % |
| 17 | Credit quality step 11 to 17 and unrated | RMBS — Prime | 1,575 % |
| 18 | Credit quality step 11 to 17 and unrated | RMBS — Mid-Prime | 2,625 % |
| 19 | Credit quality step 11 to 17 and unrated | RMBS — Sub-Prime | 3,5 % |
| 20 | Credit quality step 11 to 17 and unrated | CMBS | 3,5 % |
| 21 | Credit quality step 11 to 17 and unrated | ABS — Student loans | 1,4 % |
| 22 | Credit quality step 11 to 17 and unrated | ABS — Credit cards | 2,1 % |
| 23 | Credit quality step 11 to 17 and unrated | ABS — Auto | 2,1 % |
| 24 | Credit quality step 11 to 17 and unrated | CLO non-ACTP | 2,45 % |
| 25 | Other sector | Other sector | 3,5 % |
To assign a risk exposure to a sector, institutions shall rely on a classification that is commonly used in the market for grouping issuers by sector. Institutions shall assign each tranche to one of the sector buckets in Table 7. Risk exposures from any tranche that an institution cannot assign to a sector in such a manner shall be assigned to bucket 25.
3. For the purposes of this Article, an exposure shall be assigned the credit quality category corresponding to the credit quality category that it would be assigned under the External Rating Based Approach set out in Title II, Chapter 5.
Article 325an
Intra-bucket correlations for credit spread risk for securitisations not included in the ACTP
Between two sensitivities WSk and WSl within the same bucket, the correlation parameter ρk
l shall be set as follows:
ρkl = ρkl (tranche) · ρkl (tenor) · ρkl (basis)
where:
ρkl (tranche) shall be equal to 1 where the two names of sensitivities k and l are within the same bucket and are related to the same securitisation tranche (more than 80 % overlap in notional terms), otherwise it shall be equal to 40 %;
ρkl (tenor) shall be equal to 1 where the two vertices of the sensitivities k and l are identical, otherwise it shall be equal to 80 %; and
ρkl (basis) shall be equal to 1 where the two sensitivities are related to the same curves, otherwise it shall be equal to 99,90 %.
The correlation parameters referred to in paragraph 1 shall not apply to bucket 25 in Table 7 of Article 325am(1). The own funds requirement for the delta risk aggregation formula within bucket 25 shall be equal to the sum of the absolute values of the net weighted sensitivities allocated to that bucket:
Image omitted; see official source
Article 325ao
Correlations across buckets for credit spread risk for securitisations not included in the ACTP
The correlation parameter γb
c shall apply to the aggregation of sensitivities between different buckets and shall be set at 0 %.
2. The own funds requirement for bucket 25 shall be added to the overall risk class level capital, with no diversification or hedging effects recognised with any other bucket.
Article 325ap
Risk weights for equity risk
1. Risk weights for the sensitivities to equity and equity repo rate risk factors shall be specified for each bucket in Table 8 pursuant to the delegated act referred to in Article 461a:
Table 8
| Bucket number | Market capitali-sation | Economy | Sector | Risk weight for equity spot price | Risk weight for equity repo rate |
|---|---|---|---|---|---|
| 1 | Large | Emerging market economy | Consumer goods and services, transportation and storage, administrative and support service activities, healthcare, utilities | 55 % | 0,55 % |
| 2 | Large | Emerging market economy | Telecommunications, industrials | 60 % | 0,60 % |
| 3 | Large | Emerging market economy | Basic materials, energy, agriculture, manufacturing, mining and quarrying | 45 % | 0,45 % |
| 4 | Large | Emerging market economy | Financials including government-backed financials, real estate activities, technology | 55 % | 0,55 % |
| 5 | Large | Advanced economy | Consumer goods and services, transportation and storage, administrative and support service activities, healthcare, utilities | 30 % | 0,30 % |
| 6 | Large | Advanced economy | Telecommunications, industrials | 35 % | 0,35 % |
| 7 | Large | Advanced economy | Basic materials, energy, agriculture, manufacturing, mining and quarrying | 40 % | 0,40 % |
| 8 | Large | Advanced economy | Financials including government-backed financials, real estate activities, technology | 50 % | 0,50 % |
| 9 | Small | Emerging market economy | All sectors described under bucket numbers 1, 2, 3 and 4 | 70 % | 0,70 % |
| 10 | Small | Advanced economy | All sectors described under bucket numbers 5, 6, 7 and 8 | 50 % | 0,50 % |
| 11 | Other sector | Other sector | Other sector | 70 % | 0,70 % |
| 12 | Large market cap, advanced economy indices | Large market cap, advanced economy indices | Large market cap, advanced economy indices | 15 % | 0,15 % |
| 13 | Other indices | Other indices | Other indices | 25 % | 0,25 % |
For the purposes of this Article, what constitutes a small and a large market capitalisation shall be specified in the regulatory technical standards referred to in Article 325bd(7).
For the purposes of this Article, EBA shall develop draft regulatory technical standards to specify what constitutes an emerging market and to specify what constitutes an advanced economy.
EBA shall submit those draft regulatory technical standards to the Commission by 28 June 2021.
Power is delegated to the Commission to supplement this Regulation by adopting the regulatory technical standards referred to in the first subparagraph in accordance with Articles 10 to 14 of Regulation (EU) No 1093/2010.
4. When assigning a risk exposure to a sector, institutions shall rely on a classification that is commonly used in the market for grouping issuers by sector. Institutions shall assign each issuer to one of the sector buckets in Table 8 and shall assign all issuers from the same industry to the same sector. Risk exposures from any issuer that an institution cannot assign to a sector in such a manner shall be assigned to bucket 11 in Table 8. Multinational or multi-sector equity issuers shall be assigned to a particular bucket on the basis of the most material region and sector in which the equity issuer operates.
Article 325aq
Intra-bucket correlations for equity risk
The delta risk correlation parameter ρkl between two sensitivities WSk and WSl within the same bucket shall be set at 99,90 % where one is a sensitivity to an equity spot price and the other is a sensitivity to an equity repo rate and where both sensitivities are related to the same equity issuer name.
In other cases than the cases referred to in paragraph 1, the correlation parameter ρkl between two sensitivities WSk and WSl to equity spot price within the same bucket shall be set as follows:
- (a) 15 % between two sensitivities within the same bucket that fall under the category large market capitalisation, emerging market economy (bucket number 1, 2, 3 or 4);
- (b) 25 % between two sensitivities within the same bucket that fall under the category large market capitalisation, advanced economy (bucket number 5, 6, 7 or 8);
- (c) 7,5 % between two sensitivities within the same bucket that fall under the category small market capitalisation, emerging market economy (bucket number 9);
- (d) 12,5 % between two sensitivities within the same bucket that fall under the category small market capitalisation, advanced economy (bucket number 10);
- (e) 80 % between two sensitivities within the same bucket that fall under either index bucket (bucket number 12 or 13).
The correlation parameter ρkl between two sensitivities WSk and WSl to equity repo rates within the same bucket shall be set in accordance with points (a) to (d) of paragraph 2.
Between two sensitivities WSk and WSl within the same bucket where one is a sensitivity to an equity spot price and the other a sensitivity to an equity repo rate and both sensitivities relate to a different equity issuer name, the correlation parameter ρkl shall be set to the correlation parameters specified in paragraph 2, multiplied by 99,90 %.
The correlation parameters specified in paragraphs 1 to 4 shall not apply to bucket 11. The capital requirement for the delta risk aggregation formula within bucket 11 shall be equal to the sum of the absolute values of the net weighted sensitivities allocated to that bucket:
Image omitted; see official source
Article 325ar
Correlations across buckets for equity risk
The correlation parameter γbc shall apply to the aggregation of sensitivities between different buckets.
It shall be set in relation to the buckets of Table 8 in Article 325ap as follows:
- (a) 15 % where the two buckets fall within bucket numbers 1 to 10;
- (b) 0 % where either of the two buckets fall within bucket number 11;
- (c) 75 % where the two buckets fall within bucket number 12 and 13;
- (d) 45 % otherwise.
Article 325as
Risk weights for commodity risk
Risk weights for sensitivities to commodity risk factors shall be the following:
Table 9
| Bucket number | Bucket name | Risk weight |
| --- | --- | --- | | 1 | Energy — solid combustibles | 30 % | | 2 | Energy — liquid combustibles | 35 % | | 3 | Energy — electricity | 60 % | | | | | | 3a | Energy — EU ETS carbon trading | 40 % | | 3b | Energy — non-EU ETS carbon trading | 60 % | | | | | | 4 | Freight | 80 % | | 5 | Metals — non-precious | 40 % | | 6 | Gaseous combustibles | 45 % | | 7 | Precious metals (including gold) | 20 % | | 8 | Grains and oilseed | 35 % | | 9 | Livestock and dairy | 25 % | | 10 | Softs and other agricultural commodities | 35 % | | 11 | Other commodities | 50 % |
Article 325at
Intra-bucket correlations for commodity risk
For the purposes of this Article, any two commodities shall be considered distinct commodities where there exist in the market two contracts that are differentiated only by the underlying commodity to be delivered against each contract.
The correlation parameter ρk
l between two sensitivities WSk and WSl within the same bucket shall be set as follows:
ρkl = ρkl (commodity) · ρkl (tenor) · ρkl (basis)
where:
ρkl (commodity) shall be equal to 1 where the two commodities of sensitivities k and l are identical, otherwise it shall be equal to the intra-bucket correlations in Table 10;
ρkl (tenor) shall be equal to 1 where the two vertices of the sensitivities k and l are identical, otherwise it shall be equal to 99 %; and
ρkl (basis) shall be equal to 1 where the two sensitivities are identical in the delivery location of a commodity, otherwise it shall be equal to 99,90 %.
3. The intra-bucket correlations ρkl
(commodity) are:
Table 10
| Bucket number | Bucket name | Correlation ρkl (commodity) |
|---|---|---|
| 1 | Energy - solid combustibles | 55 % |
| 2 | Energy - liquid combustibles | 95 % |
| 3 | Energy - electricity and carbon trading | 40 % |
| 4 | Freight | 80 % |
| 5 | Metals – non-precious | 60 % |
| 6 | Gaseous combustibles | 65 % |
| 7 | Precious metals (including gold) | 55 % |
| 8 | Grains and oilseed | 45 % |
| 9 | Livestock and dairy | 15 % |
| 10 | Softs and other agricultural commodities | 40 % |
| 11 | Other commodity | 15 % |
Notwithstanding paragraph 1, the following provisions apply:
- (a) two risk factors that are allocated to bucket 3 in Table 10 and that concern electricity which is generated in different regions or is delivered at different periods under the contractual agreement shall be considered distinct commodity risk factors;
- (b) two risk factors that are allocated to bucket 4 in Table 10 and that concern freight where the freight route or week of delivery differ shall be considered distinct commodity risk factors.
Article 325au
Correlations across buckets for commodity risk
The correlation parameter γb c applying to the aggregation of sensitivities between different buckets shall be set at:
- (a) 20 % where the two buckets fall within bucket numbers 1 to 10;
- (b) 0 % where either of the two buckets is bucket number 11.
Article 325av
Risk weights for foreign exchange risk
A risk weight of 15 % shall be applied to all sensitivities of foreign exchange risk factors.
The risk weight of the foreign exchange risk factors concerning currency pairs which are composed of the euro and the currency of a Member State participating in the second stage of the economic and monetary union (ERM II) shall be one of the following:
- (a) the risk weight referred to in paragraph 1, divided by 3;
- (b) the maximum fluctuation within the fluctuation band formally agreed by the Member State and the European Central Bank, if that fluctuation band is narrower than the fluctuation band defined under ERM II.
Notwithstanding paragraph 2, the risk weight of the foreign exchange risk factors concerning currencies referred to in paragraph 2 which participate in the ERM II with a formally agreed fluctuation band narrower than the standard band of plus or minus 15 % shall equal the maximum percentage fluctuation within that narrower band.
The risk weight of the foreign exchange risk factors included in the most liquid currency pairs sub-category as referred to in point (c) of 325bd(7) shall be the risk weight referred to in paragraph 1 of this Article divided by √2.
5. Where the daily exchange-rate data for the preceding three years show that a currency pair composed of euro and a non-euro currency of a Member State is constant and that the institution is always able to face a zero bid/ask spread on the respective trades related to that currency pair, the institution may apply the risk weight referred to in paragraph 1 divided by 2, provided that it has the express permission of its competent authority to do so.
Article 325aw
Correlations for foreign exchange risk
A uniform correlation parameter γb
c equal to 60 % shall apply to the aggregation of sensitivities to foreign exchange risk factors.
Subsection 2 Vega and curvature risk weights and correlations
Article 325ax
Vega and curvature risk weights
Buckets for vega risk factors shall be similar to the buckets established for delta risk factors in accordance with Section 3, Subsection 1.
2. Risk weights for sensitivities to vega risk factors shall be assigned in accordance with the risk class of the risk factors, as follows:
Table 1
| Risk class | Risk weights |
|---|---|
| GIRR | 100 % |
| CSR non-securitisations | 100 % |
| CSR securitisations (ACTP) | 100 % |
| CSR securitisations (non-ACTP) | 100 % |
| Equity (large cap and indices) | 77,78 % |
| Equity (small cap and other sector) | 100 % |
| Commodity | 100 % |
| Foreign exchange | 100 % |
Buckets used in the context of delta risk in Subsection 1 shall be used in the curvature risk context unless specified otherwise in this Chapter.
For foreign exchange and equity curvature risk factors, the curvature risk weights shall be relative shifts equal to the delta risk weights referred to in Subsection 1.
6. For general interest rate, credit spread and commodity curvature risk factors, the curvature risk weight shall be the parallel shift of all vertices for each curve on the basis of the highest prescribed delta risk weight referred to in Subsection 1 for the relevant risk bucket.
Article 325ay
Vega and curvature risk correlations
Between vega risk sensitivities within the same bucket of the general interest rate risk (GIRR) class, the correlation parameter ρkl shall be set as follows:.
Image omitted; see official source
where:
Image omitted; see official source
shall be equal to
Image omitted; see official source
where α shall be set at 1 %, Tk and Tl shall be equal to the maturities of the options for which the vega sensitivities are derived, expressed as a number of years; and
Image omitted; see official source
is equal to
Image omitted; see official source
, where α is set at 1 %,
Image omitted; see official source
and
Image omitted; see official source
shall be equal to the maturities of the underlyings of the options for which the vega sensitivities are derived, minus the maturities of the corresponding options, expressed in both cases as a number of years.
Between vega risk sensitivities within a bucket of the other risk classes, the correlation parameter ρkl shall be set as follows:
Image omitted; see official source
where:
Image omitted; see official source
shall be equal to the delta intra-bucket correlation corresponding to the bucket to which vega risk factors k and l would be allocated; and
Image omitted; see official source
shall be set in accordance with paragraph 1.
With regard to vega risk sensitivities between buckets within a risk class (GIRR and non-GIRR), the same correlation parameters for γbc, as specified for delta correlations for each risk class in Section 4, shall be used in the vega risk context.
There shall be no diversification or hedging benefit recognised in the standardised approach between vega risk factors and delta risk factors. Vega risk charges and delta risk charges shall be aggregated by simple summation.
5. The curvature risk correlations shall be the square of corresponding delta risk correlations ρkl and γbc referred to in Subsection 1.
CHAPTER 1b Alternative internal model approach
Section 1 Permission and own funds requirements
Article 325az
Alternative internal model approach and permission to use alternative internal models
The alternative internal model approach may be used by an institution to calculate its own funds requirements for market risk, provided that the institution meets all of the requirements laid down in this Chapter.
After having verified institutions' compliance with the requirements set out in Articles 325bh, 325bi and 325bj, competent authorities shall grant permission to those institutions to calculate their own funds requirements for the portfolio of all positions assigned to trading desks by using their alternative internal models in accordance with Article 325ba, provided that all the following requirements are met:
- (a) the trading desks were established in accordance with Article 104b;
- (b) the institution has provided to the competent authority a rationale for the inclusion of the trading desks in the scope of the alternative internal model approach;
- (c) the trading desks have met the back-testing requirements referred to in Article 325bf(3);
- (d) the trading desks have met the profit and loss attribution (‘P&L attribution’) requirements referred to in Article 325bg;
- (e) for trading desks that have been assigned at least one of those trading book positions referred to in Article 325bl, the trading desks fulfil the requirements set out in Article 325bm for the internal default risk model;
- (f) no securitisation or re-securitisation positions have been assigned to the trading desks;
- (g) no positions in CIUs that meet the condition set out in Article 104(8), point (b), have been assigned to the trading desks.
For the purposes of point (b) of the first subparagraph of this paragraph, not including a trading desk in the scope of the alternative internal model approach shall not be motivated by the fact that the own funds requirement calculated under the alternative standardised approach set out in point (a) of Article 325(3) would be lower than the own funds requirement calculated under the alternative internal model approach.
Institutions that have been granted permission to use the alternative internal model approach shall also meet the reporting requirement set out in Article 325(3).
An institution that has been granted the permission referred to in paragraph 2 shall immediately notify its competent authorities that one of its trading desks no longer meets at least one of the requirements set out in that paragraph. That institution shall no longer be permitted to apply this Chapter to any of the positions assigned to that trading desk and shall calculate the own funds requirements for market risk in accordance with the approach set out in Chapter 1a for all the positions assigned to that trading desk from the earliest reporting date and until the institution demonstrates to the competent authorities that the trading desk again fulfils all the requirements set out in paragraph 2.
By way of derogation from paragraph 4, in extraordinary circumstances, competent authorities may permit an institution to continue using its alternative internal models for the purpose of calculating the own funds requirements for the market risk of a trading desk that no longer meets the conditions referred to in point (c) of paragraph 2 of this Article and in Article 325bg(1). When competent authorities exercise that discretion, they shall notify EBA and substantiate their decision.
For positions assigned to the trading desks for which an institution has not been granted permission as referred to in paragraph 2, the own funds requirements for market risk shall be calculated by that institution in accordance with Chapter 1a of this Title. For the purposes of that calculation, all those positions shall be considered on a stand-alone basis as a separate portfolio.
Material changes to the use of alternative internal models that an institution has received permission to use, the extension of the use of alternative internal models that the institution has received permission to use, and material changes to the institution's choice of the subset of the modellable risk factors referred to in Article 325bc(2), shall require separate permission from its competent authorities.
Institutions shall notify the competent authorities of all other extensions and changes to the use of the alternative internal models for which the institution has received permission.
EBA shall develop draft regulatory technical standards to specify:
- (a) the conditions for assessing the materiality of extensions and changes to the use of alternative internal models and changes to the subset of the modellable risk factors referred to in Article 325bc;
- (b) the assessment methodology under which competent authorities verify an institution’s compliance with the requirements set out in this Chapter.
EBA shall submit those draft regulatory technical standards to the Commission by 28 June 2024.
Power is delegated to the Commission to supplement this Regulation by adopting the regulatory technical standards referred to in the first subparagraph in accordance with Articles 10 to 14 of Regulation (EU) No 1093/2010.
EBA shall issue an opinion as to whether extraordinary circumstances as referred to in paragraph 5 of this Article and in Article 325bf(6), second subparagraph, have occurred.
For the purpose of providing that opinion, EBA shall monitor the market conditions to assess whether extraordinary circumstances have occurred and, where that is the case, shall notify the Commission immediately.
EBA shall develop draft regulatory technical standards to specify the conditions and indicators that EBA is to use to determine whether extraordinary circumstances have occurred.
EBA shall submit those draft regulatory technical standards to the Commission by 30 June 2024.
Power is delegated to the Commission to supplement this Regulation by adopting the regulatory technical standards referred to in the first subparagraph of this paragraph in accordance with Articles 10 to 14 of Regulation (EU) No 1093/2010.
Article 325ba
Own funds requirements when using alternative internal models
An institution using an alternative internal model shall calculate the own funds requirements for the portfolio of all positions assigned to the trading desks for which the institution has been granted permission as referred to in Article 325az(2) as the higher of the following:
- (a) the sum of the following values:
- (i) the institution's previous day's expected shortfall risk measure, calculated in accordance with Article 325bb (ESt-1), and
- (ii) the institution's previous day's stress scenario risk measure, calculated in accordance with Section 5 (SSt-1); or
- (b) the sum of the following values:
- (i) the average of the institution's daily expected shortfall risk measure, calculated in accordance with Article 325bb for each of the preceding sixty business days (ESavg), multiplied by the multiplication factor (mc); and
- (ii) the average of the institution's daily stress scenario risk measure, calculated in accordance with Section 5 for each of the preceding sixty business days (SSavg).
Where calculating the own funds requirements for market risk using an internal model in accordance with the first subparagraph, an institution shall not include its own credit spreads in the calculation of the measures referred to in points (a) and (b) for positions in the institution’s own debt instruments.
Institutions holding positions in traded debt and equity instruments that are included in the scope of the internal default risk model and assigned to the trading desks referred to in paragraph 1 shall fulfil an additional own funds requirement, expressed as the higher of the following values:
- (a) the most recent own funds requirement for default risk, calculated in accordance with Section 3;
- (b) the average of the amount referred to in point (a) over the preceding 12 weeks.
By way of derogation from the first subparagraph, an institution shall not be subject to the additional own funds requirement for the holdings of its own debt instruments.
An institution using an alternative internal model shall calculate the total own funds requirements for market risk for all trading book positions and all non-trading book positions generating foreign exchange risk or commodity risk in accordance with the following formula:
Image omitted; see official source
where:
- AIMA = the sum of the own funds requirements referred to in paragraphs 1 and 2;
- PLAaddon = the additional own funds requirement referred to in Article 325bg(2);
- ASAnon–aima = the own funds requirements for market risk as calculated under the alternative standardised approach referred to in Article 325(1), point (a), for the portfolio of trading book positions and non-trading book positions generating foreign exchange risk or commodity risk for which the institution uses the alternative standardised approach to calculate the own funds requirements for market risk;
- ASAall portofolio = the own funds requirements for market risk as calculated under the alternative standardised approach referred to in Article 325(1), point (a), for the portfolio of all trading book positions and all non-trading book positions generating foreign exchange risk or commodity risk;
- ASAaima = the own funds requirements for market risk as calculated under the alternative standardised approach referred to in Article 325(1), point (a), for the portfolio of trading book positions and non-trading book positions generating foreign exchange risk or commodity risk for which the institution uses the approach referred to in Article 325(1), point (b), to calculate the own funds requirements for market risk.
Section 2 General requirements
Article 325bb
Expected shortfall risk measure
Institutions shall calculate the expected shortfall risk measure referred to in point (a) of Article 325ba(1) for any given date ‘t’ and for any given portfolio of trading book positions and non-trading book positions that are subject to foreign exchange or commodity risk as follows:
Image omitted; see official source
where:
| ESt | = | the expected shortfall risk measure; |
| --- | --- | --- |
| i | = | the index that denotes the five broad categories of risk factors listed in the first column of Table 2 of Article 325bd; |
| --- | --- | --- |
| UESt | = | the unconstrained expected shortfall measure calculated as follows: Image omitted; see official source |
| --- | --- | --- |
| Image omitted; see official source | = | the unconstrained expected shortfall measure for broad risk factor category i and calculated as follows: Image omitted; see official source ρ = the supervisory correlation factor across broad categories of risk; ρ = 50 %; Image omitted; see official source = the partial expected shortfall measure that shall be calculated for all the positions in the portfolio in accordance with Article 325bc(2); Image omitted; see official source = the partial expected shortfall measure that shall be calculated for all the positions in the portfolio in accordance with Article 325bc(3); Image omitted; see official source = the partial expected shortfall measure that shall be calculated for all the positions in the portfolio in accordance with Article 325bc(4); |
| --- | --- | --- |
| Image omitted; see official source | = | the partial expected shortfall measure for broad risk factor category i that shall be calculated for all the positions in the portfolio in accordance with Article 325bc(2); |
| --- | --- | --- |
| Image omitted; see official source | = | the partial expected shortfall measure for broad risk factor category i that shall be calculated for all the positions in the portfolio in accordance with Article 325bc(3); and |
| --- | --- | --- |
| Image omitted; see official source | = | the partial expected shortfall measure for broad risk factor category i that shall be calculated for all the positions in the portfolio in accordance with of Article 325bc(4). |
Institutions shall only apply scenarios of future shocks to the specific set of modellable risk factors applicable to each partial expected shortfall measure, as set out in Article 325bc, when determining each partial expected shortfall measure for the calculation of the expected shortfall risk measure in accordance with paragraph 1.
Where at least one transaction of the portfolio has at least one modellable risk factor which has been mapped to the broad risk factor category i in accordance with Article 325bd, institutions shall calculate the unconstrained expected shortfall measure for the broad risk factor category i and include it in the formula for the expected shortfall risk measure referred to in paragraph 1 of this Article.
By way of derogation from paragraph 1, an institution may reduce the frequency of the calculation of the unconstrained expected shortfall measures
Image omitted; see official source
and of the partial expected shortfall measures
Image omitted; see official source
,
Image omitted; see official source
and
Image omitted; see official source
for all broad risk factor categories i from daily to weekly, provided that both of the following conditions are met:
- (b) Image omitted; see official source
Image omitted; see official source Image omitted; see official source Image omitted; see official source
Article 325bc
Partial expected shortfall calculations
Institutions shall calculate all the partial expected shortfall measures referred to in Article 325bb(1) as follows:
- (a) daily calculations of the partial expected shortfall measures;
- (b) at 97,5th percentile, one tailed confidence interval;
- (c) for a given portfolio of trading book positions and non-trading book positions that are subject to foreign exchange or commodity risk, institutions shall calculate the partial expected shortfall measure at time ‘t’ in accordance with the following formula: Image omitted; see official source where: PESt = the partial expected shortfall measure at time t; j = the index that denotes the five liquidity horizons listed in the first column of Table 1; LHj = the length of liquidity horizons j as expressed in days in Table 1; T = the base time horizon, where T = 10 days; PESt(T) = the partial expected shortfall measure that is determined by applying scenarios of future shocks with a 10-day time horizon only to the specific set of modellable risk factors of the positions in the portfolio set out in paragraphs 2, 3 and 4 for each partial expected shortfall measure referred to in Article 325bb(1); and PESt(T, j) = the partial expected shortfall measure that is determined by applying scenarios of future shocks with a 10-day time horizon only to the specific set of modellable risk factors of the positions in the portfolio set out in paragraphs 2, 3 and 4 for each partial expected shortfall measure referred to in Article 325bb(1) and of which the effective liquidity horizon, as determined in accordance with Article 325bd(2), is equal or longer than LHj.
Table 1 Liquidity horizon j Length of liquidity horizon j (in days) 1 10 2 20 3 40 4 60 5 120
For the purpose of calculating the partial expected shortfall measures
Image omitted; see official source
and
Image omitted; see official source
referred to in Article 325bb(1), in addition to the requirements set out in paragraph 1 of this Article, institutions shall meet the following requirements:
- (a) Image omitted; see official source Image omitted; see official source An institution that no longer meets the requirement referred to in the first paragraph of this point shall immediately notify the competent authorities thereof and shall update the subset of the modellable risk factors within two weeks in order to meet that requirement; where, after two weeks, that institution has failed to meet that requirement, the institution shall revert to the approach set out in Chapter 1a to calculate the own funds requirements for market risk for some trading desks, until that institution is able to demonstrate to the competent authority that it is meeting the requirement set out in the first subparagraph of this point;
For the purpose of calculating the partial expected shortfall measures
Image omitted; see official source
and
Image omitted; see official source
referred to in Article 325bb(1), institutions shall, in addition to the requirements set out in paragraph 1 of this Article, meet the following requirements:
- (c) the data inputs used to determine the scenarios of future shocks applied to the modellable risk factors referred to in points (a) and (b) of this paragraph shall be calibrated to historical data referred to in point (c) of paragraph 4; those data shall be updated on at least a monthly basis.
For the purpose of calculating the partial expected shortfall measures
Image omitted; see official source
and
Image omitted; see official source
referred to in Article 325bb(1), institutions shall, in addition to the requirements set out in paragraph 1 of this Article, meet the following requirements:
- (c) the data inputs used to determine the scenarios of future shocks applied to the modellable risk factors referred to in points (a) and (b) shall be calibrated to historical data from the preceding 12-month period; where there is a significant upsurge in the price volatility of a material number of modellable risks factors of an institution's portfolio which are not in the subset of the risk factors referred to in point (a) of paragraph 2, competent authorities may require an institution to use historical data for a period shorter than the preceding 12-months, but such a shorter period shall not be shorter than the preceding six-months; competent authorities shall notify EBA of any decision to require an institution to use historical data from a shorter period than 12 months and shall substantiate that decision.
In calculating a given partial expected shortfall measure as referred to in Article 325bb(1), institutions shall maintain the values of the modellable risks factors for which they have not been required to apply scenarios of future shocks for that partial expected shortfall measure under paragraphs 2, 3 and 4 of this Article.
EBA shall develop draft regulatory technical standards to specify the criteria for the use of data inputs in the risk-measurement model referred to in this Article, including criteria on data accuracy and criteria on the calibration of the data inputs where market data are insufficient.
EBA shall submit those draft regulatory technical standards to the Commission by 10 January 2026.
Power is delegated to the Commission to supplement this Regulation by adopting the regulatory technical standards referred to in the first subparagraph of this paragraph in accordance with Articles 10 to 14 of Regulation (EU) No 1093/2010.
Article 325bd
Liquidity horizons
Institutions shall map each risk factor of positions assigned to the trading desks for which they have been granted permission as referred to in Article 325az(2), or for which they are in the process of being granted such permission, to one of the broad categories of risk factors listed in Table 2 and to one of the broad sub-categories of risk factors listed in that Table.
The liquidity horizon of a risk factor of the positions referred to in paragraph 1 shall be the liquidity horizon of the corresponding broad sub-category of risk factors to which it has been mapped.
By way of derogation from paragraph 1 of this Article, for a given trading desk, an institution may decide to replace the liquidity horizon of a broad sub-category of risk factors listed in Table 2 of this Article with one of the longer liquidity horizons listed in Table 1 of Article 325bc. Where an institution takes such a decision, the longer liquidity horizon shall apply to all the modellable risk factors of the positions assigned to that trading desk that have been mapped to that broad sub-category of risk factors for the purpose of calculating the partial expected shortfall measures in accordance with point (c) of Article 325bc(1).
An institution shall notify the competent authorities of the trading desks and the broad sub-categories of risk factors to which it decides to apply the treatment referred to in the first subparagraph.
For the purpose of calculating the partial expected shortfall measures in accordance with point (c) of Article 325bc(1), the effective liquidity horizon of a given modellable risk factor of a given trading book position or a non-trading book position that is subject to foreign exchange or commodity risk shall be calculated as follows:
| EffectiveLH = | Image omitted; see official source | SubCatLH if Mat > LH5 |
| EffectiveLH = | Image omitted; see official source | min (SubCatLH, minj{LHj/LHj ≥ Mat}) if LH1 ≤ Mat ≤ LH5 |
| EffectiveLH = | Image omitted; see official source | LH1 if Mat < LH1 |
where:
| EffectiveLH | = | the effective liquidity horizon; |
| --- | --- | --- |
| Mat | = | the maturity of the trading book position; |
| --- | --- | --- |
| SubCatLH | = | the length of liquidity horizon of the modellable risk factor determined in accordance with paragraph 1; and |
| --- | --- | --- |
| minj {LHj/LHj ≥ Mat} | = | the length of one of the liquidity horizons listed in Table 1 of Article 325bc which is the nearest liquidity horizon above the maturity of the trading book position. |
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