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  • C. Illustration 3

    Consider a netting set with three commodity forward contracts. All notional amounts and market values are denominated in USD. This netting set is not subject to a margin agreement and there is no exchange of collateral (independent amount/initial margin) at inception. The table below summarizes the relevant contractual terms of the three commodity derivatives.

    Trade #NatureUnderlyingPositionDirectionResidual maturityNotional (thousands)Market value (thousands)
    1Forward(WTI)
    Crude Oil
    Protection BuyerLong9 months10,000-50
    2Forward(Brent)
    Crude Oil
    Protection SellerShort2 years20,000-30
    3ForwardSilverProtection BuyerLong5 years10,000100

     

    • 1. Replacement Cost Calculation

      The replacement cost is calculated at the netting set level as a simple algebraic sum (floored at zero) of the derivatives’ market values at the reference date, provided that value is positive. Thus, using the market values indicated in the table (expressed in thousands):

      RC = max {V - C; 0} = max {100 - 30 - 50; 0} = 20
       

      The replacement cost is positive and there is no exchange of collateral (so the bank has not received excess collateral), which means the multiplier will be equal to 1.

    • 2. Potential Future Exposure Calculation

      The following table illustrates the steps typically followed for the add-on calculation, for each of the four commodity hedging sets with non-zero exposure:

      StepsActivities
      1. Calculate Effective NotionalCalculate trade-level adjusted notional = current price × number of units referenced by derivative
      Calculate trade-level effective notional amount = trade-level adjusted notional × supervisory delta × maturity factor
      Calculate effective notional for each commodity-type = Σ(trade-level effective notional) for trades referencing the same commodity type, with full offsetting in commodity type
      2. Apply Supervisory FactorsAdd-on for each commodity type in a hedging set = Commodity-type Effective Notional Amount × Supervisory Factor
      3. Apply Supervisory CorrelationsCommodity-type add-ons are divided into systematic and idiosyncratic components weighted by the correlation factor
      4. AggregateAggregation of commodity-type add-ons with full offsetting in the systematic component and no offsetting in the idiosyncratic component
      Simple summation of absolute values of add-ons across the four hedging sets
         Effective Notional Amount

      Trade-level Adjusted Notional calculation for each commodity derivative trade:

      di(COM) = current price per unit × number of units in the trade
       

      TradeCurrent price per unit (unit is barrel for oil; ounces for silver)Number of units in the tradeAdjusted Notional
      Trade 1100100 barrels10,000
      Trade 2100200 barrels20,000
      Trade 320500 ounces10,000

       

      The appropriate supervisory delta must be assigned to each trade:

      TradeDeltaInstrument Type
      Trade 11linear, long (forward & swap)
      Trade 2-1linear, short (forward & swap)
      Trade 31linear, long (forward & swap)

       

      Since the remaining maturity of Trade 1 is less than a year, at nine months (approximately 187 business days), and the trade is un-margined, its maturity factor is scaled down by the square root of 187/250 in accordance with the requirements of the Standards. On the other hand, the maturity factor is 1 for Trade 2 and for Trade 3, since the remaining maturity of those two trades is greater than one year and they are un-margined.

      The trade-level effective notional is equal to the adjusted notional times the supervisory delta times the maturity factor. The basic difference between the WTI and Brent forward contracts effectively is ignored since they belong to the same commodity type, namely “Crude Oil” within the “Energy” hedging set, thus allowing for full offsetting. (In contrast, if one of the two forward contracts were on a different commodity type within the “Energy” hedging set, such as natural gas, with the other on crude oil, then only partial offsetting would have been allowed between the two trades.) Therefore, Trade 1 and Trade 2 can be aggregated into a single effective notional, taking into account each trade’s supervisory delta and maturity factor.

      1

       

      Hedging SetCommodity TypeTradeAdjusted NotionalSupervisory DeltaMaturity FactorEffective Notional
      EnergyCrude OilTrade 110,0001 187250=0.865 10,000 x 1 x 0.865 + 20,000x(-1)x1 =-11,350 (full off-setting within the ‘Crude Oil’ commodity type)
      EnergyCrude OilTrade 220,000-11
      MetalsSilverTrade 310,0001110,000
         Supervisory Factor

      For each commodity-type in a hedging set, the effective notional amount must be multiplied by the correct Supervisory Factor (SF). As described in the Standards, the Supervisory Factor for both the Crude Oil commodity type in the Energy hedging set and the Silver commodity type in the Metals hedging set is SF=18%.

      Thus, the add-on by hedging set and commodity type is as follows:

      Add-on(Typekj) = SFTypek(Com) × Effective NotionalTypek(Com)
       

      Hedging SetCommodity TypeEffective NotionalSupervisory Factor SFAdd-on by HS and Commodity type
      EnergyCrude Oil-11,35018%-2,043
      MetalsSilver10,00018%1,800
         Supervisory Correlation Parameters

      The commodity-type add-ons in a hedging set are decomposed into systematic and idiosyncratic components. The commodity subclass correlations parameters are as stated in the Standards, in this case 40% for commodities.

      Thus, the hedging set level add-ons are calculated for each commodity hedging set:

      Add-on(COM) = [( Σk ρj(COM) × Add-on (Typekj) )2 + Σk (1- (ρj(COM) )2) × (Add-on (Type j))2]k1/2

      Hedging SetCommodity TypeρAdd-on(Typek)Systematic Component (ρ × Add-on(Typek))2(1 – ρ2)Idiosyncratic Component (1 – ρ2) x (Add-on(Typek)) 2Add-onj (Only one commodity type in each HS) 
      EnergyCrude Oil40%-2,043(-817)20.840.84 × (-2,043)22,043 
      MetalsSilver40%1,800(720)20.840.84 × (1,800)21,800 

       

      However, in this example, since only one commodity type within the “Energy” hedging set is populated (i.e. all other commodity types within that hedging set have a zero add-on), the resulting add-on for the hedging set is the same as the add-on for the commodity type. This calculation shows that when there is only one commodity type within a commodity hedging set, the hedging-set add-on is equal to the absolute value of the commodity-type add-on. (The same comment applies to the commodity type “Silver” in the “Metals” hedging set.)

         Add-on Aggregation

      Aggregation of commodity-type add-ons uses full offsetting in the systematic component and no offsetting benefit in the idiosyncratic component in each hedging set. As noted earlier, in this example there is only one commodity type per hedging set, which means no offsetting benefits. Computing the simple summation of absolute values of add-ons for the hedging sets:

      Add-on = Σj Add-onj

      Add-On = 2,043 + 1,800 = 3,843

         Multiplier

      The multiplier is given by

      multiplier = min {1; Floor+(1-Floor) × exp [(V-C)/(2×(1-Floor)×Add-onagg)]}

         = min {1; 0.05 + 0.95 × exp [20 / (2 × 0.95 × 3,843)]}

            = 1, since V-C is positive.

         Final Calculation of PFE

      PFE = multiplier × Add-onagg = 1 × 3,843 = 3,843
       

    • 3. EAD Calculation

      The exposure EAD to be risk weighted for counterparty credit risk capital requirements purposes is therefore

      EAD = 1.4 * (RC + PFE) = 1.4 x (20 + 3,843) = 5,408