This chapter focuses on the accounting challenges faced by entities when hedging commodity risk. For many industries, commodity contracts are an integral part of day-to-day business. For example, for companies in the oil, gas, utilities, mining and airline sectors, prices of certain commodities have a significant impact on their profitability and competitive position. Whilst each of these industries has its own accounting peculiarities, in this chapter I try to cover the most common accounting issues arising from their hedging of commodity risks.
The world of commodities includes a large number of different products. Underlyings of the most common commodity derivatives contracts can be grouped into the following categories:
A contract to purchase or sell a commodity brings together a breadth of accounting standards – leases, derivatives, revenue recognition, and consolidation – which are individually among the most complicated areas of accounting. For example, a gas company may manage its gas on an integral basis, buying, storing and selling gas so as to optimise its overall portfolio. Gas is an asset that flows through the organisation, and it can be extraordinarily complex to track the flow of gas from a particular contract, as shown in Figure 11.1. To identify the appropriate accounting treatment for each contract requires careful analysis and a deep understanding of the principles underlying the relevant IFRS standards.
In general, from an accounting perspective a commodity contract is treated as a lease contract, a derivative contract or an own-use instrument (see Figure 10.2).
The first step in analysing a contract is to assess whether the contract meets the definition of a lease contract. IFRS defines a lease contract as “a contract that conveys the right to use an asset (the underlying asset) for a period of time in exchange for consideration”. The right to use an identified asset is conveyed only if the purchaser (i.e., lessee) has the ability to both direct the use of the asset and receive the benefit from its use. For example, electricity suppliers often purchase carbon emission rights (CERs) from third-party owners of renewable energy generation facilities. Frequently, the underlying renewable energy is also sold to the electricity supplier, and it is fairly common for a purchaser to acquire 100% of the electricity and CERs associated with the facility.
Commodity contracts that are not lease contracts fall within the non-financial items category. A contract to buy or sell a non-financial item may meet the definition of a derivative, even though non-financial items themselves fall outside the scope of IFRS 9.
A commodity contract is treated as an IFRS 9 instrument if any of the three following conditions is met:
Under IFRS 9, a derivative is a financial instrument (or other contract within the scope of IFRS 9) with all the following characteristics:
Commodity contracts that fall within the scope of IFRS 9 are recognised at fair value. The fair value changes are recognised in profit or loss, unless cash flow hedge accounting is applied (fair value hedge accounting requires the change in fair value of the hedging instrument to be recognised in profit or loss).
Commodity contracts that are neither considered lease contracts nor derivative contracts are called own-use contracts (or “normal purchase and normal sale” under US generally accepted accounting principles). These contracts are not fair valued, but accounted for using the accrual method. Hence, revenues and expenses from these contracts are reported on a gross basis in the appropriate revenue and expense categories as the commodities are received or delivered. The “own use” exception is mandatory under IFRS (i.e., it is not elective).
In theory, a contract is treated as an own-use contract only if the entity intends to take delivery of the underlying to meet its purchase, sale or usage requirements. In practice, these conditions may be difficult to interpret.
Entities in the energy and utility sectors frequently engage in trading activities to benefit from market opportunities by buying and selling commodity contracts (e.g., futures on natural gas), profiting from short-term price fluctuations or from bid–offer spreads.
These entities may also engage in the purchase and/or sale of identical, or similar, commodity contracts for their own needs, taking physical delivery. For example, a utility may sell expected electricity generation or buy natural gas for its own consumption in its generation business.
The distinction between these two purposes is essential in defining own-use contract treatment. If this distinction cannot be made and all commodity contracts are deemed to be similar, then own-use contract treatment will not be possible. From this perspective the problem stems from interpreting what the standard means by “similar” contracts.
The market practice is to consider “similar” on a substance rather than form basis. Therefore, management intention and actual use of the contracts, rather than their legal form, are key ingredients in assessing whether to apply derivative or own-use accounting treatment. It is possible to apply, within the same entity, both derivatives and own-use accounting for contracts with identical legal form when the intended and actual usages of the contracts differ. The key issue is therefore being able to demonstrate the separation of both activities: trades for physical purposes and those for the purpose of short-term profit-making. This can be demonstrated through the use of appropriate organisational and portfolio structures, covering risk management policies and procedures.
Whilst its legal form is not the main factor when deciding whether a contract is accounted for as a derivative or an own-use contract (assuming it is not a lease contract), sometimes its settlement terms may provide helpful arguments to assess its classification. In general, there are three types of commodity contract according to their settlement provisions: (i) contracts that are settled by physical delivery of the commodity; (ii) contracts that are settled net (i.e., in cash, by exchanging financial instruments or by exchanging financial assets); and (iii) contracts that are a combination of (i) and (ii).
A commodity contract entered into, and continuing to be held, for the purpose of the physical delivery of the underlying commodity, in accordance with the entity's expected purchase, sale or usage requirements, does not fall within the scope of IFRS 9, and is therefore treated as an own-use contract (or executory contract). An exception would be when for similar contracts, the entity has a practice of taking delivery of the underlying and selling it within a short period after delivery for the purpose of generating a profit from short-term fluctuations in price or from a dealer's margin.
A commodity contract is net settled, if it may be settled in cash, or by the delivery of another financial asset or by exchanging financial assets. There are various ways in which a contract to buy or sell a non-financial item can be net settled. These include:
If the commodity contract allows the entity to choose between physical settlement and net settlement, it would need to assess whether:
This case study covers the hedge of gold production with a forward contract using the own-use exception. Imagine that ABC, a gold producer with mines in the United States, South Africa and Australia and with the USD as functional and presentation currency, was assessing its market risk exposures. ABC's profit or loss statement was exposed to the following market risks (see Figure 11.3):
The timeframe and manner in which the company managed these risks varied for each item based upon its market expectations and their relevance. Under its risk management policy, ABC sought to mitigate the impact of the gold price risk in order to achieve certainty for a portion of its revenues and enable it to plan its business with greater reliability.
The market price for gold can fluctuate widely, often subject to sharp, short-term changes resulting from speculative activities. While the overall supply/demand for gold can affect its market price, because of the considerable size of above-ground stocks of the metal in comparison to other commodities, these factors typically do not affect the price of gold in the same manner or degree as supply/demand affects the market price for other commodities. These fluctuations are caused by numerous factors beyond an entity's control, including:
Following an assessment of its gold price risk exposure and the available alternatives for mitigating it, ABC decided to enter into a gold forward sales contract on 1 January 20X0. The forward was to be settled by physical delivery of 100,000 ounces of ABC's future gold production. The main terms of the forward contract were as follows:
Gold forward terms | |
Start date | 1 January 20X1 |
Counterparties | ABC and Megabank |
Maturity | 31 January 20X2 |
ABC sells | 100,000 ounces of gold |
ABC buys | USD 100 million |
Forward rate | USD 1,000.00 per gold ounce |
Settlement | Physical settlement |
Next ABC had to assess the accounting treatment of the gold forward. The contract met the definition of a derivative because:
Whilst the forward contract met the requirements for treatment as a derivative, ABC had to assess whether the non-financial contract was excluded from the scope of IFRS 9. This assessment would have strong implications for ABC's financial statements:
ABC concluded that the contract met the own-use requirements due to the following:
The absence of an obligation to fair value the forward made its accounting recognition relatively simple. Assuming that ABC reported on an annual basis on 31 December, the accounting entries were as follows:
No entries were required as there were no cash flows at inception of the forward contract.
No entries were required as there was no requirement to fair value the forward contract.
The forward contract was settled and ABC delivered 100,000 ounces of gold in exchange for USD 100 million. Assuming that ABC's gold inventory was valued at USD 800 per ounce, the delivered gold was worth USD 80 million (=100,000 ounces × 800).
We conclude this case study with some final remarks:
In this case study I cover a financial settlement using a commodity. Suppose that in order to protect the level of income in future years, ABC – a gold producer with the USD as functional and presentation currency – raised finance to be repaid using future gold production. This loan did not require any cash interest payments. Interest was embedded in the future gold to be delivered. The main terms of the gold loan were as follows:
Gold loan terms | |
Start date | 1 January 20X1 |
Borrower | ABC |
Loan proceeds | USD 160 million |
Maturity | 31 December 20X4 (4 years) |
Delivery schedule | 31-Dec-X1: 100,000 ounces of gold 31-Dec-X2: 100,000 ounces of gold 31-Dec-X3: 100,000 ounces of gold 31-Dec-X4: 100,000 ounces of gold |
Interest | None |
Implied forward rate | USD 400.00 per gold ounce |
Repayment | Physical settlement according to the Delivery schedule |
Next, ABC had to assess the accounting treatment of the gold loan. Whilst the gold loan contained an embedded derivative (i.e., the forward sale of gold) and would ordinarily be subject to fair valuation, it was accounted for as borrowings on a historical cost basis, an exception within IFRS 9, due to the subsequent repayment by physical delivery of gold ounces. Another way to look at this is as follows: the instrument was equivalent to a string of four prepaid forwards, each recognised under the own-use exception.
On 15 February 20X3, when the gold spot price reached USD 600 per ounce, ABC management expected gold prices to continue rising and decided to repay the loan early by delivering the remaining 200,000 ounces of gold. In this case, I look at the accounting impact of two alternatives: (i) that ABC delivered gold from its own production; and (ii) that ABC delivered gold purchased on a spot basis in the gold market.
Assuming that ABC reported on an annual basis on 31 December, the accounting entries were as follows.
ABC borrowed USD 160 million through the gold loan. The loan was recognised initially at the proceeds received, net of transaction costs incurred.
ABC repaid a quarter of the gold loan by delivering 100,000 ounces of gold. The loan was recognised at cost and accordingly a quarter of the loan carrying value was reduced. Assuming that the delivered gold was valued at USD 300.00 per ounce in ABC's inventory, the “cost of goods sold” figure amounted to USD 30 million (100,000 ounces × 300.00).
ABC repaid another quarter of the gold loan by delivering 100,000 ounces of gold. The loan was recognised at cost and accordingly a quarter of the loan carrying value was reduced. Assuming that the delivered gold was valued at USD 320.00 per ounce in ABC's inventory, the “cost of goods sold” figure amounted to USD 32 million (100,000 ounces × 320.00).
ABC repaid the outstanding balance of the gold loan (i.e., USD 80 million) by delivering 200,000 ounces of gold. This gold was delivered from ABC's mine production. Assuming that the delivered gold was valued at USD 370.00 per ounce in ABC's inventory, the “cost of goods sold” figure amounted to USD 74 million (200,000 ounces × 370.00).
ABC repaid the outstanding balance of the gold loan (i.e., USD 80 million) by delivering 200,000 ounces of gold. This gold was acquired from the gold spot market at USD 600.00 per ounce. Hence, ABC paid in the market USD 120 million (=200,000 ounces × 600.00) for the gold and crystallised a USD 40 million loss (= USD 80 mn – USD 120 mn).
We close this case study with some final remarks:
As noted above, on 15 February 20X3, when the gold spot price reached USD 600 per ounce, ABC management expected the gold price to continue rising and decided to repay the loan early by delivering the remaining 200,000 ounces of gold. ABC had two alternatives: either (i) to deliver gold from its own mines, or (ii) to deliver gold purchased on a spot basis from the gold market.
In the scenario where ABC repaid the borrowing using gold from its own mines, no loss crystallised on ABC's profit or loss statement. However, a loss was implicitly recognised as an opportunity cost: a resulting sales figure (and sales margin) much lower than if, instead, the produced gold had been sold in the market. Another implication of such a decision was that ABC could not benefit, relative to the delivered gold, from potentially future higher gold prices, but also was not exposed to potentially future lower gold prices.
In the scenario where ABC repaid the loan by purchasing gold on the market, a loss was crystallised resulting in a one-off loss of USD 40 million before tax. This loss was recorded in profit or loss as a finance cost. If the gold prices continued to rise, ABC's undelivered inventory could benefit from a higher selling price, resulting in a rising sales figure. However, this undelivered gold exposed ABC's sales figure to potentially future lower gold prices.
This case study is an example of a fair value hedge of a commodity firm commitment using a forward. I cover in detail each step in the application of hedge accounting.
ABC was a European wholesaler of silver, buying silver from mining companies and selling it to silver end-users, primarily in the electronics industry. On 1 February 20X7, ABC signed a contract to sell to an electronics company 10 million troy ounces of silver at a price of EUR 5.00 per ounce to be delivered and paid for on 31 May 20X7. ABC expected to meet this delivery with an agreed purchase from a mining company to be priced at the prevailing spot rate on the purchase delivery date.
The sale at a fixed price exposed ABC to rising silver prices, as it could end up paying a price to acquire the 10 million troy ounces of silver higher than the EUR 5 per ounce selling price. In order to avoid being exposed to changes in silver prices, ABC's hedging policy was to pay and receive fixed prices in all its contracts.
To protect the sale from rising silver prices, on 1 February 20X7 ABC entered into a forward with the following terms (see Figure 11.4):
Silver forward terms | |
Start date | 1 February 20X7 |
Counterparties | ABC and Megabank |
Maturity | 31 May 20X7 |
ABC receives | EUR 45 million |
ABC delivers | 10 million troy ounces of silver |
Forward rate | EUR 4.50 per ounce |
Settlement | Cash settlement based on the EUR/ounce price of silver at maturity taking both the BCE's EUR–USD rate and the LME's USD/oz fixing Settlement amount = 10 mn × (USD/oz fixing)/(EUR–USD fixing) – EUR 45 million If the settlement amount is positive, ABC receives the settlement amount If the settlement amount is negative, ABC pays the absolute value of the settlement amount |
The instrument's EUR 4.50 per ounce forward rate was the forward rate for 31 May 20X7 prevailing on 1 February 20X7. Thus, ABC did not have to pay any premium for entering into the hedge. In other words, because it was an on-market forward, it had a nil fair value at inception.
The forward contract was a derivative because there was no initial net investment, it was linked to the price of silver and it was to be settled at a future date. First, ABC needed to evaluate whether the forward fell within the own-use exception of IFRS 9. At its maturity, the contract could only be settled in cash based on the silver spot price at maturity. A net settled commodity contract was treated as an IFRS 9 instrument (as a derivative in our case), and as a result, it was recognised in ABC's statement of financial position at fair value.
Next, ABC had to decide whether to apply hedge accounting to avoid mismatches in profit or loss.
ABC designated the forward contract as the hedging instrument in a fair value hedge of its forecasted silver sale. At its inception, ABC documented the hedging relationship as follows:
Hedging relationship documentation | |
Risk management objective and strategy for undertaking the hedge | The objective of the hedge is to protect the EUR fair value of the firm commitment to sell 10 million silver troy ounces against unfavourable movements in the silver price in EUR. This hedging objective is consistent with the entity's overall risk management strategy of fair valuing all its purchases and sales to reduce the variability of its profit or loss statement. The designated risk being hedged is the risk of changes in the EUR fair value of the firm commitment |
Type of hedge | Fair value hedge |
Hedged item | The firm commitment to sell 10 million ounces of silver signed with Chuan Electronics on 1 February 20X7 |
Hedging instrument | The forward contract with reference number 011895 to sell 10 million ounces of silver at EUR 5.00 per ounce on 31 May 20X7. The counterparty to the forward is Megabank and the credit risk associated with this counterparty is considered to be very low |
Hedge effectiveness assessment | See below |
Hedge effectiveness will be assessed by comparing changes in the fair value of the hedging instrument to changes in the fair value of the hedged item. The hedged item will be valued at the silver EUR/oz forward price for 31 May 20X7.
Hedge effectiveness will be assessed prospectively at hedging relationship inception and on an ongoing basis at least upon each reporting date and upon occurrence of a significant change in the circumstances affecting the hedge effectiveness requirements.
The hedging relationship will qualify for hedge accounting only if all the following criteria are met:
The hedging relationship will be considered effective if the following three requirements are met:
Whether there is an economic relationship between the hedged item and the hedging instrument will be assessed on a quantitative basis using the scenario analysis method for two scenarios in which the EUR/oz silver spot price at the end of the hedging relationship (31 May 20X7) will be calculated by shifting the spot price prevailing on the assessment date by +10% and –10%, and the change in fair value of both the hedge item and the hedging instrument compared.
Suppose that the silver spot price at hedge inception (1 February 20X7) was EUR 4.47 per ounce. The hedge effectiveness assessment at inception was performed by analysing the change in fair value of both the hedge item and the hedging instrument under two scenarios:
Based on these results (see Figure 11.5), ABC concluded that there was an economic relationship between the hedged item and the hedging instrument that gave rise to offset: the fair values of both elements moved in opposite directions and in relatively similar absolute magnitudes.
The assessment also included the determination of the relationship hedge ratio and the identification of the sources of potential ineffectiveness.
Regarding the hedge ratio and based on the results of the quantitative assessment, ABC concluded that the notional of the hedging instrument, 10 million silver ounces, was the quantity necessary to meet the risk management objective to hedge 10 million silver ounces of hedged item. As a result the hedge ratio was set to 1:1.
ABC identified the following as the main sources of potential ineffectiveness: firstly, a significant deterioration in the creditworthiness of the counterparty to the hedging instrument (Megabank); and secondly, a restructuring of the terms of the firm commitment.
ABC concluded that the hedge qualified for hedge accounting as it met all the qualifying criteria (see Figure 11.6):
There was another effectiveness assessment performed on 31 March 20X7. The process followed by ABC was very similar to that performed at hedge inception. It has been omitted to avoid unnecessary repetition.
The forward silver prices and the discount factor on the relevant dates were as follows:
Date | Forward rate for 31 May 20X7 | Discount factor for 31 May 20X7 |
1 February 20X7 | 4.50 | 0.9900 |
31 March 20X7 | 4.60 | 0.9950 |
31 May 20X7 | 4.80 | 1.0000 |
The following table outlines the fair value calculation of the hedging instrument. Due to the short-term maturity of the forward contract and the existence of a collateral agreement with Megabank, there were no credit valuation adjustments on the hedging instrument.
Fair values (EUR) | 1-Feb-X7 | 31-Mar-X7 | 31-May-X7 |
Silver forward price to 31-May-X7 | 4.50 | 4.60 | 4.80 |
Discount factor | 0.9900 | 0.9950 | 1.0000 |
Forward fair value | -0- (1) | 995,000(2) | 3,000,000 (3) |
Change in forward fair value | — | 995,000 | 2,005,000 (4) |
Notes:
(1) 10 mn ounces × (forward price – 4.50) × Discount factor = 10 mn × (4.50 – 4.50) × 0.9900
(2) 10 mn ounces × (forward price – 4.50) × Discount factor = 10 mn × (4.60 – 4.50) × 0.9950
(3) 10 mn ounces × (forward price – 4.50) × Discount factor = 10 mn × (4.80 – 4.50) × 1.0000
(4) 3,000,000 – 995,000
The following table outlines the fair value calculation of the hedged item:
Fair values (EUR) | 1-Feb-X7 | 31-Mar-X7 | 31-May-X7 |
Silver forward price to 31-May-X7 | 4.50 | 4.60 | 4.80 |
Discount factor | 0.9900 | 0.9950 | 1.0000 |
Firm commitment fair value | 4,950,000 (1) | 3,980,000(2) | 2,000,000 (3) |
Change in forward fair value | — | <970,000> (4) | <1,980,000> (5) |
Notes:
(1) 10 mn ounces × (5.00 – forward price) × Discount factor = 10 mn × (5.00 – 4.50) × 0.9900
(2) 10 mn ounces × (forward price – 4.50) × Discount factor = 10 mn × (5.00 – 4.60) × 0.9950
(3) 10 mn ounces × (forward price – 4.50) × Discount factor = 10 mn × (5.00 – 4.80) × 1.0000
(4) 3,980,000 – 4,950,000
(5) 2,000,000 – 3,980,000
The required journal entries were as follows.
No journal entries were required as the fair value of the forward contract was zero.
The change in fair value of the forward contract produced a EUR 995,000 gain. The change in fair value of the firm commitment was EUR <970,000>.
The change in fair value of the forward contract produced a EUR 2,005,000 gain. The change in fair value of the firm commitment was EUR <1,980,000>. On this date, the forward contract matured and ABC received from Megabank EUR 3 million in cash.
In this case, the loss on the firm commitment was almost fully offset by the gain on the forward contract. The sales proceeds were the original EUR 50 million plus the EUR 2.95 million change in fair value of the firm commitment. There was an additional EUR 50,000 gain stemming from the difference between the change in fair value of the forward and that of the firm commitment. The hedge preserved ABC's EBITDA from changes in the silver price, as shown in Figure 11.7. ABC effectively sold the silver at the spot price prevailing on 31 May 20X7, even though the sales price was fixed on 1 February 20X7.
The aim of this case study is to illustrate the application of a commodity inventory hedge using futures contracts. Futures contracts are settled daily and any daily gain (loss) is deposited (withdrawn) in the entity's margin account at the futures exchange, what is referred to as variation margin. As a consequence, the futures position is reset at the end of each day so that the fair value of the combination of futures position and the margin is zero and the counterparty credit risk is almost zero.
In the mining industry, inventories of metal are physically measured or estimated and valued at the lower of (i) cost and (ii) net realisable value (NRV). Costs of finished products are measured in terms of raw material cost, labour cost and a proportion of manufacturing overhead expenses. NRV is the amount estimated to be obtained from the sale of the item of inventory in the normal course of business, less any anticipated costs to be incurred to complete their production and those necessary to carry out the sale.
A write-down of an inventory is required if the NRV is lower than cost. The amount of any write-down of inventories from cost to NRV and all losses of inventories are recognised as an expense in the period the write-down or loss occurs.
A write-down may be reversed if the NRV recovers. The amount of any reversal of any write-down of inventories, arising from an increase in NRV, is recognised as a reduction in the amount of inventories recognised as an expense in the period in which the reversal occurs. Because an inventory valuation cannot exceed its cost, the maximum amount of reversal is the amount that revalues the inventory to cost.
When inventories are sold, the carrying amount of those inventories is recognised as an expense (i.e., as “cost of goods sold”) in the period in which the related ordinary revenue is recognised.
Even though an inventory is held at the lower of cost and net realisable value under IAS 2, an entity can apply hedge accounting (assuming that all other requirements are met) because the change in fair value of the inventory will affect profit or loss (as cost of goods sold) when the inventories are sold or their carrying amount is written down. Hence an entity can in theory apply a fair value hedge when hedging an inventory.
The adjusted carrying amount following the fair value adjustments becomes the cost basis for the purpose of applying the lower of cost and NRV under IAS 2.
On 1 February 20X7 ABC, a gold mining company, held 100,000 ounces of gold of inventory carried at an average cost of USD 600 per ounce. The presentation and functional currency of ABC was the USD. To protect the inventory from a decline in gold prices, ABC hedged its position by selling 1,000 gold June futures contracts on the COMEX futures exchange on 1 February 20X7. Each contract was for 100 ounces of gold at USD 700 per ounce. The futures contracts matured on 21 June 20X7. The main terms of the futures contracts were:
Gold futures contracts terms | |
Trade date | 1 February 20X7 |
Futures exchange | COMEX |
Maturity | 21 June 20X7 |
Contract seller | ABC |
Number of contracts | 1,000 |
Contract size | 100 gold troy ounces |
Contract price | USD 700 per ounce |
Delivery month | June 20X7 |
Settlement | Physical settlement. Delivery may take place on any business day beginning on the first business day of the delivery month or any subsequent business day of the delivery month, but not later than the last business day of the current delivery month |
To avoid physical delivery of the gold, ABC planned to repurchase the futures position on 20 June 20X7, just prior to its expiry.
ABC designated the futures contracts as the hedging instrument in a fair value hedge of its gold inventory. At its inception, ABC documented the hedging relationship as follows:
Hedging relationship documentation | |
Risk management objective and strategy for undertaking the hedge | The objective of the hedge is to protect the USD value of 100,000 gold ounces of inventory held in Colorado against unfavourable movements of the gold price in USD. This hedging objective is consistent with ABC's overall risk management strategy of reducing the variability of its profit or loss statement by matching on a variable basis inventories and sales with gold futures and swaps. The designated risk being hedged is the risk of changes in the fair value of the entire hedged inventory (reflecting its actual location and including storage and directly related costs) |
Type of hedge | Fair value hedge |
Hedged item | The first 100,000 ounces of gold of the entity's finished goods inventory |
Hedging instrument | The short 1,000 future contracts position for delivery in June 20X7 at a price of USD 700 per troy ounce, with trade number 56789. Because it is an exchange traded instrument, the credit risk associated with the instrument is considered to be very low |
Hedge effectiveness assessment | See below |
Hedge effectiveness will be assessed by comparing changes in the fair value of the hedging instrument to changes in the fair value of the hedged item. The hedged item will be valued at the gold USD/oz spot rate rather than at the futures price.
Hedge effectiveness will be assessed prospectively (i.e., forward looking) at hedging relationship inception and on an ongoing basis at least upon each reporting date and upon occurrence of a significant change in the circumstances affecting the hedge effectiveness requirements.
The hedging relationship will qualify for hedge accounting only if all the following criteria are met:
The hedging relationship will be considered effective if the following three requirements are met:
Whether there is an economic relationship between the hedged item and the hedging instrument will be assessed on a quantitative basis using the regression analysis method.
A regression analysis (see Figure 11.8) was performed by measuring the cumulative change in the fair value of 100,000 gold ounces in Colorado during a hedging period of 4 months and comparing it with that of the nearest gold futures contract on the COMEX. Each observation assumed that a 4-month hedge was put in place each month during the previous 15 years. The sign of the change in the fair value of the hedged item has been inverted to provide a clearer view. The results of the regression provided a R-squared coefficient of 98.8%. The t-statistic showed that the regression results were statistically valid.
Based on the results of the regression analysis using historical data, ABC determined that the spot price of gold in Colorado and the spot price of gold on the COMEX had a strong positive correlation. Accordingly, ABC concluded that the changes in the fair value of the futures contracts related to changes in the spot price of gold at the COMEX and the changes in the fair value of the gold inventory located in Colorado generally moved in opposite directions, and hence that an economic relationship existed between the hedged item and the hedging instrument.
The assessment also included the determination of the relationship hedge ratio and the identification of the sources of potential ineffectiveness.
Regarding the hedge ratio and based on the results of the quantitative assessment, ABC concluded that the notional of the hedging instrument, 100,000 gold troy ounces, was the quantity necessary to meet the risk management objective to hedge 100,000 gold troy ounces of hedged item. As a result the hedge ratio was set to 1:1.
ABC identified the following as the main sources of potential ineffectiveness: firstly, a significant deterioration in the creditworthiness of the counterparty to the hedging instrument (the COMEX); and secondly, a reduction of ABC's gold inventory levels below the hedging instrument notional.
ABC concluded that the hedge qualified for hedge accounting as it met all the qualifying criteria (see Figure 11.9):
There was another effectiveness assessment performed on 31 March 20X7. The process followed by ABC was very similar to that performed at hedge inception. It has been omitted to avoid unnecessary repetition.
ABC estimated the fair value of the gold inventory using the COMEX spot price and adjusting it to reflect the differences that were due to changes in storage costs. The inventory was fair valued as follows:
Inventory fair value | 1-Feb-X7 | 31-Mar-X7 | 20-Jun-X7 |
Spot price | 690 | 644 | 607 |
Inventory theoretical value | 69,000,000 (1) | 64,400,000 | 60,700,000 |
Storage costs (2) | — | 100,000 | 200,000 |
Inventory fair value | 69,000,000 | 64,500,000 (3) | 60,900,000 |
Change in inventory fair value | — | <4,500,000> (4) | <3,600,000> |
Notes:
(1) 100,000 ounces × 690
(2) Storage costs incurred since 1-Feb-X7
(3) Inventory theoretical value + Storage costs = 64,400,000 + 100,000
(4) 64,500,000 – 69,000,000
The spot and futures gold prices in USD per ounce on the relevant dates were as follows:
Date | Spot price | Futures price for 21 June 20X7 |
1 February 20X7 | 690 | 700 |
31 March 20X7 | 644 | 650.35 |
31 May 20X7 | 607 | 610.18 |
Due to daily settlement, the futures contract was fair valued by taking the expected cash flow at maturity on an undiscounted basis (i.e., ignoring the discount factor from valuation date to the contract maturity date) as follows, ignoring any counterparty credit risk:
Futures contracts fair values | 1-Feb-X7 | 31-Mar-X7 | 20-Jun-X7 |
Futures price on 1-Feb-X7 | 700 | 700 | 700 |
Futures price | 700 | 650.35 | 610.18 |
Futures fair value | -0- (1) | 4,965,000 (2) | 8,982,000 (3) |
Change in futures fair value | — | 4,965,000 (4) | 4,017,000 (5) |
Notes:
(1) 1,000 contracts × 100 ounces × (700 – 700)
(2) 1,000 contracts × 100 ounces × (700 – 650.35)
(3) 1,000 contracts × 100 ounces × (700 – 610.18)
(4) 4,965,000 – 0
(5) 8,982,000 – 4,965,000
The required journal entries were as follows.
In theory, no entries in the financial statements were required as the fair value of the futures contracts was zero. However, ABC had to post a margin in the futures exchange to guarantee the futures position. Suppose that the initial margin was 10% of the position, or USD 7,000,000 in cash.
The futures contracts were revalued daily. When the futures position showed a gain from the previous day, the gain was posted in ABC's margin account with the broker (the broker in its capacity as member of the exchange). Conversely, when the futures position showed a loss, ABC had to post the lost amount in ABC's margin account with the broker. Therefore, at the end of each day the futures position was reset to keep its fair value at nil. The futures contracts did not appear on ABC's statement of financial position as assets or liabilities due to their nil fair value. Income earned on the margin account has been ignored for the purposes of this case.
For the sake of simplicity, I will summarise all the daily journal entries since 1 February 20X7 in one entry. The change in fair value of the futures contracts since 1 February 20X7 was a gain of USD 4,965,000. Because it was a fair value hedge, this amount was recorded in profit or loss.
For the sake of simplicity, I will summarise all the daily journal entries since 31 March 20X7 in one. The change in fair value of the futures contracts since 31 March 20X7 was a gain of USD 4,017,000, recorded in profit or loss.
Suppose that ABC bought back its futures position, effectively closing its position. The margin account showed a balance of USD 11,017,000 (=7,000,000+4,017,000) and ABC immediately transferred this amount. The change in fair value of the hedged item (i.e., the inventory) represented a USD 3,600,000 gain recognised in profit or loss.
Suppose that the 100,000 ounces of gold were sold to a metal refining customer external to the ABC group on 31 July 20X7 at the spot price prevailing on that date. Assuming that the gold spot price on 31 July 20X7 was USD 720 per ounce, the sale proceeds were USD 72 million (=100,000 ounces × 720). The inventory was valued at cost plus the inventory fair value gains/losses since hedge inception, or USD 51,900,000 (=60,000,000 – 4,500,000 – 3,600,000).
Gold prices can be highly volatile. By entering into the gold futures contracts, ABC essentially protected its price exposure associated with its gold inventory until the hedge maturity. The hedge protected ABC's EBITDA as well (see Figure 11.10). Had ABC not hedged its inventory, its EBITDA and its pre-tax profit would have been USD 8,100,000 and USD 8,982,000 lower, respectively.
Because there was some ineffectiveness, ABC recognised an unexpected additional gain of USD 882,000 (=8,982,000 – 8,100,000). This ineffectiveness arose due to the basis differential between COMEX gold prices and Colorado gold prices. To the extent the variability in the price of gold for these two locations was exactly the same (the basis differential remained constant), ABC would have offset its entire exposure to the variability in the price of gold associated with its inventory. Ineffectiveness caused by futures contracts can be substantial, as the futures price relates to a commodity with specific characteristics and for delivery in specific locations, which may differ considerably from the inventory being hedged. Similarly, actively traded (“liquid”) futures contracts can be denominated in a currency different from that of the entity, creating additional hedging challenges for non-USD-based entities.
The aim of this case study is to illustrate the commodity hedge of a highly expected purchase using futures contracts and an FX forward. Recall, from our previous case study, that to enter into exchange traded futures (and options) entities have to post an initial margin. In addition, futures contracts are settled daily and any daily loss (gain) is posted to (taken from) the entity's margin account at the broker acting as intermediary with the exchange. As a consequence, the futures position is reset daily to keep its fair value at nil at the end of the day.
A second point to take into account is that the hedging instrument may not be treated as a derivative within the scope of IFRS 9, and instead be considered as an “own-use” instrument. In this case, because the entity was looking to unwind its futures position when the purchase price of another transaction was set, the futures contract was within the scope of IFRS 9.
On 1 February 20X7, ABC, a European oil refining company, forecasted the purchase of 2 million barrels of Brent crude oil from an oil producer, expected to be priced on 31 May 20X7 at the USD/barrel spot price of Brent crude oil prevailing on this date. Delivery and payment would take place simultaneously on 7 June 20X7. ABC's presentation and functional currency was the EUR. ABC was worried that the EUR value of the oil purchase might increase before the oil purchase price was set. To hedge its exposure, ABC entered into an ICE long June futures position on the Intercontinental Exchange (ICE) for 2 million barrels at a price of USD 51 per barrel. The futures contracts were to expire on 21 June 20X7. The main terms of the futures contracts were as follows:
Crude oil futures contracts terms | |
Trade date | 1 February 20X7 |
Futures exchange | ICE |
Maturity | 15 June 20X7 |
Contract buyer | ABC |
Number of contracts | 2,000 |
Contract size | 1,000 barrels of Brent crude oil |
Contract price | USD 51/barrel |
Delivery month | June 20X7 |
Settlement | (Exchange for) physical or cash settlement. Cash settlement based on the ICE Brent Index price for the day following the last trading day of the futures contract. |
Simultaneously, ABC entered into an FX forward to buy USD 100 million at an exchange rate of 1.2500 on 31 May 20X7, and to be cash settled, as follows:
FX forward terms | |
Trade date | 1 February 20X7 |
Counterparties | ABC and Megabank |
Maturity | 31 May 20X7 |
ABC buys | USD 100 million |
ABC sells | EUR 80 million |
Forward Rate | 1.2500 |
Settlement | Cash settlement. On maturity date, there is a EUR cash settlement based on the EUR–USD fixing prevailing on that date Settlement amount = 100 mn/Fixing – EUR 80 mn If the settlement amount is positive ABC receives the settlement amount If the settlement amount is negative, ABC pays the absolute value of the settlement amount |
ABC designated the combination of the oil futures contracts and the FX forward as the hedging instrument in a cash flow hedge of its highly expected purchase. At its inception, ABC documented the hedging relationship as follows:
Hedging relationship documentation | |
Risk management objective and strategy for undertaking the hedge | The objective of the hedge is to protect the EUR value of cash flow stemming from a highly expected purchase of 2 million barrels of Brent crude oil against unfavourable movements of the oil price in EUR. This hedging objective is consistent with ABC's overall risk management strategy of reducing the variability of its profit or loss statement by entering into commodities futures and swaps, and FX forwards and options. The designated risk being hedged is the risk of changes in the cash flow of the highly expected purchase |
Type of hedge | Cash flow hedge |
Hedged item | The first 2 million barrels of Brent crude oil denominated in USD. The forecast purchase transaction is expected to be settled and received on 7 June 20X7. The purchase price is expected to be set on 31 May 20X7. The forecast purchase transaction is highly probable to occur. The negotiation of the purchase transaction is at an advanced stage, and the entity has several years of history of similar purchases that have been executed according to plan. In addition, the oil supplier has a strong reputation in the market of being highly reliable |
Hedging instrument | The combination of:
|
Hedge effectiveness assessment | See below |
Hedge effectiveness will be assessed by comparing changes in the fair value of the hedging instrument to changes in the fair value of the hedged item. The hedged item will be valued at the Brent crude oil spot price on the ICE rather than at the futures price and at the EUR–USD FX forward rate with maturity 31 May 20X7. The hedge will be accounted as follows:
The effective portion would be the lesser of the following (taking into account their signs):
Hedge effectiveness will be assessed prospectively (i.e., forward looking) at hedging relationship inception and on an ongoing basis at least upon each reporting date and upon occurrence of a significant change in the circumstances affecting the hedge effectiveness requirements.
The hedging relationship will qualify for hedge accounting only if all the following criteria are met:
The hedging relationship will be considered effective if the following three requirements are met:
Whether there is an economic relationship between the hedged item and the hedging instrument will be assessed on a quantitative basis using the regression analysis method.
An effectiveness assessment was performed at inception of the hedging relationship and at each reporting date. The assessment also included the relationship hedge ratio and an identification of the sources of potential ineffectiveness.
A regression analysis (see Figure 11.11) was performed measuring the cumulative change in the EUR fair value of 2 million barrels of Brent crude oil during a hedging period of 4 months. Each observation assumes that a new hedge was put in place each month during the previous 5 years. The results of the regression provided an R-squared coefficient of 99.9%. The t-statistic showed that the regression results were statistically valid. The correlation coefficient was not 100% because the USD/barrel portion of the hedged item was valued using ICE's Brent crude oil spot prices and the EUR–USD spot prices using the European Central Bank fixing, while the hedging instrument was valued using the ICE futures prices and the EUR–USD forward prices.
Based on the results of the regression analysis using historical data, ABC determined that the EUR spot price of the Brent crude oil to be purchased and the combination of the long 4-month USD futures price of ICE Brent crude oil and the 4-month EUR–USD FX forward rate had a strong negative correlation. Accordingly, ABC concluded that the changes in the fair value of these variables will generally move in opposite directions, and hence that an economic relationship existed between the hedged item and the hedging instrument.
ABC concluded that the hedge qualified for hedge accounting as it met all the qualifying criteria (see Figure 11.12):
Regarding the hedge ratio and based on the results of the quantitative assessment, ABC concluded that the notional of the hedging instrument, 2 million crude oil barrels and USD 100 million, was the quantity necessary to meet the risk management objective to hedge 2 million crude oil barrels of hedged item. As a result the hedge ratio was set to 1:1.
There were two main sources of potential ineffectiveness: firstly, a significant credit deterioration of the counterparties to the hedging instrument (the ICE and Megabank); and secondly, a change in the notional, date or probability of occurrence of the forecasted purchase.
There was another effectiveness assessment performed on 31 March 20X7. The process followed by ABC was very similar to that performed at hedge inception. It has been omitted to avoid unnecessary repetition.
The hedged item – the cash flows associated with the highly probable forecasted purchase of crude oil – was fair valued at each relevant date in two stages. Firstly, the purchase of crude oil was fair valued in its currency of denomination (i.e., in USD) using the ICE Brent spot price. Then the calculated fair value was translated into EUR using the EUR–USD spot rate prevailing on fair valuation date.
Oil component: fair values | 1-Feb-X7 | 31-Mar-X7 | 31-May-X7 |
Barrels hedged | 2,000,000 | 2,000,000 | 2,000,000 |
ICE spot price (USD/barrel) | 50 | 55 | 62 |
Fair value in USD | 100,000,000 (1) | 110,000,000 (2) | 124,000,000 (3) |
EUR–USD spot rate | 1.2400 | 1.2750 | 1.3000 |
Fair value in EUR | 80,645,000 (4) | 86,275,000 (5) | 95,385,000 (6) |
Change in fair value | — | <5,630,000> (7) | <9,110,000> (8) |
Notes:
(1) 2,000,000 × 50
(2) 2,000,000 × 55
(3) 2,000,000 × 62
(4) 100,000,000/1.2400
(5) 110,000,000/1.2750
(6) 124,000,000/1.30000
(7) 80,645,000 – 86,275,000
(8) 86,275,000 – 95,385,000
The hedging instrument – the combination of the crude oil futures contracts and the EUR–USD FX forward – was fair valued at each relevant date using the ICE Brent futures price and the EUR–USD forward rate.
The fair valuation of the crude oil futures contracts on the relevant dates were as follows:
Oil futures fair values | 1-Feb-X7 | 31-Mar-X7 | 31-May-X7 |
Barrels hedged | 2,000,000 | 2,000,000 | 2,000,000 |
ICE futures price (USD/barrel) | 51 | 55.5 | 62.1 |
Contracts position (USD) | 102,000,000 (1) | 111,000,000 (2) | 124,200,000 (3) |
Fair value (USD) | — | 9,000,000 (4) | 22,200,000 (5) |
EUR–USD spot | 1.2400 | 1.2750 | 1.3000 |
Fair value (EUR) | — | 7,059,000 (6) | 17,077,000 (7) |
Change in fair value (EUR) | — | 7,059,000 (8) | 10,018,000 (9) |
Notes:
(1) 2,000,000 × 51
(2) 2,000,000 × 55.5
(3) 2,000,000 × 62.1
(4) 111,000,000 – 102,000,000
(5) 124,200,000 – 102,000,000
(6) 9,000,000/1.2750
(7) 22,200,000/1.3000
(8) 7,059,000 – 0
(9) 17,077,000 – 7,059,000
The spot and forward EUR–USD rates on the relevant dates were as follows:
Date | Spot EUR–USD | Forward for 31 May 20X7 | Discount factor for 31 May 20X7 |
1 February 20X7 | 1.2400 | 1.2500 | 0.9900 |
31 March 20X7 | 1.2750 | 1.2800 | 0.9930 |
31 May 20X7 | 1.3000 | 1.3000 | 1.0000 |
The fair value calculation of the FX forward was as follows:
FX forward fair values | 1-Feb-X7 | 31-Mar-X7 | 31-May-X7 |
Forward rate to 31-May-X7 (on 1-Feb-X7) | 1.2500 | 1.2500 | 1.2500 |
Forward rate to 31-May-X7 (on specified date) | 1.2500 | 1.2800 | 1.3000 |
FX forward fair value | -0- (1) | <1,862,000> (2) | <3,077,000> (3) |
Change in forward fair value | — | <1,862,000> (4) | <1,215,000> (5) |
Notes:
(1) 100 mn USD × (1/1.2500 – 1/1.2500) × 0.9900
(2) 100 mn USD × (1/1.2500 – 1/1.2800) × 0.9930
(3) 100 mn USD × (1/1.2500 – 1/1.3000) × 1.0000
(4) <1,862,000> – 0
(5) <3,077,000> – <1,862,000>
The fair valuation of the hedging instrument – the combination of the crude oil futures contracts and the FX forward – was as follows:
Hedging instrument fair value changes | 1-Feb-X7 | 31-Mar-X7 | 31-May-X7 |
Change in crude oil futures | — | 7,059,000 | 10,018,000 |
Change in FX forward | — | <1,862,000> | <1,215,000> |
Total change in fair value | — | 5,197,000 | 8,803,000 |
The following table details the effective and ineffective amounts. The effective amounts were calculated based on the lower of the cumulative changes in fair value of the hedging instrument and the hedged item. The ineffective part of the change in fair value of the hedging instrument was the excess of its cumulative change in fair value over that of the hedged item (see Section 5.5.6 for an explanation of the calculations):
31-Mar-X7 | 31-May-X7 | |
Cumulative change in fair value of hedging instrument | 5,197,000 | 14,000,000 |
Cumulative change in fair value of hedged item (opposite sign) | 5,630,000 | 14,740,000 |
Lower amount | 5,197,000 | 14,000,000 |
Previous cumulative effective amount | — | 5,197,000 |
Available amount | 5,197,000 | 8,803,000 |
Period change in fair value of hedging instrument | 5,197,000 | 8,803,000 |
Effective part | 5,197,000 | 8,803,000 |
Ineffective part | -0- | -0- |
ABC had to post a margin in the futures exchange to guarantee the futures position. Suppose that the initial margin was 10% of the USD 102 million initial position, or USD 10,200,000 in cash. As the EUR–USD spot exchange rate on that date was 1.2400, the equivalent EUR amount was EUR 8,226,000 (=10.2 mn/1.2400). The FX forward was not recognised on ABC's statement of financial position as its initial fair value was nil.
The futures contracts were revalued daily. When the futures position showed a gain from the previous day, the gain was posted in ABC's margin account at the broker acting as intermediary to the futures exchange. Conversely, when the futures position showed a loss, ABC had to post the lost amount in its margin account at the futures exchange. Therefore, at the end of each day the futures position was reset to keep its fair value at nil.
For the sake of simplicity, I have summarised all the daily journal entries since 1 February 20X7 in one entry on 31 March 20X7. The change in fair value of the hedging instrument since 1 February 20X7 was a gain of EUR 5,197,000, split between a gain of EUR 7,059,000 related to the futures contracts and a loss of EUR 1,862,000 related to the FX forward. The effective part of the change in fair value of the hedging instrument was EUR 5,197,000, while the ineffective part was nil. The effective part was recognised in the cash flow hedge reserve in OCI. As there was no ineffective part, no amount was recorded in profit or loss.
The USD cash received in the futures contracts margin account was immediately converted into EUR and deposited in ABC's EUR bank deposit account, to avoid being exposed to the EUR–USD rate.
For the sake of simplicity, I have summarised all the daily journal entries of the futures contracts since 31 March 20X7 in just one entry. The change in fair value of the hedging instrument since 31 March 20X7 was a gain of EUR 8,803,000, split between a gain of EUR 10,018,000 related to the futures contract and a loss of EUR 1,215,000 related to the FX forward. The effective part of the change in fair value of the hedging instrument was EUR 8,803,000, while the ineffective part was nil. The effective part was recognised in the cash flow hedge reserve in OCI. As there was no ineffective part, no amount was recorded in profit or loss.
The USD 13,200,000 cash received in the futures contract margin account was converted into EUR 10,154,000 (=13,200,000/1.3000) at the 1.3000 FX spot rate and deposited in ABC's EUR bank deposit account, to avoid being exposed to the EUR–USD rate.
The initial cash margin of USD 10,200,000 had a value of EUR 8,000,000 on 31 March 20X7. This was a monetary item and, therefore, had to be revalued at the EUR–USD spot rate on 31 May 20X7 (1.3000). The margin new value was EUR 7,846,000 (=USD 10,200,000/1.3000), showing a loss of EUR 154,000 (=7,846,000 – 8,000,000).
Suppose that the EUR–USD spot rate was 1.3050 on 7 June 20X7. The amount in EUR to exchange for USD 124,000,000 was EUR 95,019,000 (=124 million/1.3050). ABC paid this amount in exchange for the crude oil.
We conclude this section by observing, regarding the EUR–USD FX forward, that while retaining the determination of the settlement amount on 31 May 20X7, ABC probably should have included a settlement date on 7 June 20X7, to coincide with the oil payment.
The aim of this case study is to illustrate the commodity hedging issues faced by airlines using a rolling hedging strategy that combines jet fuel swaps and crude oil futures. This case also shows how to apply hedge accounting when hedging a risk component.
ABC Airlines, an entity with the USD as functional currency, planned to consume around 2.4 million tonnes of jet fuel (jet kerosene) over the next 24 months, on a uniform consumption basis. Jet fuel consumption was a major item of expenditure, making up over 20% of its operating expenses. Severe fluctuations in fuel prices could therefore have a considerable effect on the company's operating results.
ABC's procurement department bought jet fuel through long-term supply contracts or “term contracts” with several oil companies, based upon a projected volume for a given period. The purchase price was indexed to Platts spot prices (jet fuel price North West Europe (NWE) CIF Rotterdam barge) plus a fixed cost (USD 36 per tonne). This fixed cost included the cost of logistics, charges, the supplier margin and an amount that incorporated ABC's credit history, rating, and the volume it used at the location.
ABC's hedging policy of anticipated jet fuel requirements, as approved by its Board, was a rolling hedging programme of its consumption forecast up to 24 months before delivery, increasing the volume that it hedged over time (see Figure 11.13). ABC used crude oil futures to hedge the longer-term horizon (6–24 months) and switched from oil futures to jet fuel swaps in the short term (0–6 months) once these swaps became reasonably liquid. At the end of each quarter, the following hedging strategy was in place:
This strategy took into account that jet fuel swap prices were only sufficiently liquid within 6 months of delivery. In contrast, Brent crude oil was one of the world's most widely-used commodities and among the most actively hedged and traded products worldwide. Whilst ABC took advantage of the high liquidity of Brent crude oil futures, it was exposed to the jet fuel crack spread (i.e., the difference between the price of oil and the price of jet fuel) for the time horizon between 6 and 24 months.
It is worth noting that there were several “jet fuel crack spreads” throughout the world. For example, the crack between the US Gulf Coast jet fuel price and the WTI crude oil price behaved differently than the crack between the NWE jet fuel price and the Brent crude oil price. Additionally, there were crack spread variations over time (see Figure 11.14).
On 1 April 20X5 ABC entered into a jet fuel swap with Megabank as follows:
Jet fuel swap terms | |
Trade date | 1 April 20X5 |
Counterparties | ABC Airlines and Megabank |
Maturity | 30 September 20X5 |
Total notional quantity | 600,000 tonnes |
Notional quantity | 100,000 tonnes Apr-20X5 100,000 tonnes May-20X5 100,000 tonnes Jun-20X5 100,000 tonnes Jul-20X5 100,000 tonnes Aug-20X5 100,000 tonnes Sep-20X5 |
Calculation period | Monthly during the term of the transaction |
Fixed price payer | ABC Airlines |
Fixed price | USD 900 per tonne |
Floating price payer | Megabank |
Commodity reference price | Jet fuel NWE (cargoes CIF), Platts European Marketscan |
Floating price | The unweighted arithmetic mean of the relevant high and low prices for jet fuel published under the heading “JET CIF NWE/BASIS ARA” as quoted in Platts European Marketscan for each successive day of the Calculation Period during which such prices are quoted |
Payment date(s) | The last day of the calculation period (note: in practice, payment date is five New York business days later, but I have changed this for the sake of simplicity) |
Pricing date(s) | Each commodity business day from and including 1 April 20X5 up to and including 30 September 20X5 |
Pursuant to the terms of the jet fuel swap, ABC and Megabank agreed to exchange monthly payments equal to the difference between a fixed price (USD 900) for a given monthly quantity of jet fuel (100,000 tonnes) and the monthly average market price for such quantity of jet fuel, with ABC receiving the amount of any excess of such market price over such fixed price and paying to Megabank the amount of any deficit of such fixed price under such market price. For example, on 30 April 20X5 there was a USD cash settlement based on the average NWE jet fuel price per tonne from 1 April 20X5 to 30 April 20X5 (the “floating price”).
If the settlement amount was positive, ABC received the settlement amount; if it was negative, ABC paid the absolute value of the settlement amount.
Additionally, on 1 April 20X5 ABC entered into the following Brent crude oil futures contracts:
Crude oil futures contracts terms | |
Trade date | 1 April 20X5 |
Futures exchange | ICE |
Contract buyer | ABC Airlines |
Contracts |
|
Underlying | Brent crude oil |
Under IFRS 9 an entity may hedge a specific risk (or risk component) in a financial and non-financial item provided the component is separately identifiable and reliably measurable.
Risk components can be (see Chapter 2):
Therefore, a risk component does not necessarily have to be contractually specified for it to be separately identifiable. However, if the risk component is not contractually specified it may be more difficult to isolate parts of the market price into identifiable and measurable risk components. An entity would need to demonstrate whether a risk component is separately identifiable and reliably measurable.
Although the crude oil price was not a contractually specified component of its jet fuel purchase price, ABC determined that, based on the analysis of the market structure for oil and oil products, there was a relationship between crude oil and jet fuel prices. Its evaluation of the relevant facts and circumstances was as follows.
ABC operated in a geographical area in which Brent was the crude oil benchmark. Crude oil was the main driver of the price of jet fuel because of the production process for oil products: jet fuel was obtained through refining (i.e., converting crude oil into jet fuel), as shown in Figure 11.15. Moreover, the pricing of refined oil products did not depend on which particular crude oil was processed by a particular refinery because jet fuel was a standardised product.
Thus, jet fuel purchase prices could be separated into two components:
Based on these considerations, ABC concluded that, despite not being specified in any contractual arrangement, the crude oil component was a separately identifiable component of its forecast jet fuel purchases.
ABC determined that the crude oil component was reliably measurable due to the existence of an observable liquid forward market for crude oil for the entire relevant period for which ABC planned to hedge.
ABC designated the jet fuel swap and the crude oil futures contracts as the hedging instrument in a cash flow hedge of its highly probable forecast purchase of jet fuel. At its inception, ABC documented the hedging relationship as follows:
Hedging relationship documentation | |
Risk management objective and strategy for undertaking the hedge | The objective of the hedge is to protect the USD value of specific number of tonnes (see “hedged item” section) of highly expected purchase of jet fuel against unfavourable movements of jet fuel or crude oil prices in USD. This hedging objective is consistent with ABC's overall risk management strategy of reducing the variability of its profit or loss statement using jet fuel swaps and options, and crude oil futures, swaps and options. The designated risk being hedged is the risk of changes in the cash flow amounts related to a highly probable string of forecast jet fuel purchases. |
The hedging strategy is a rolling one that consists of a 6-month hedge of the highly expected purchase of 600,000 tonnes of jet fuel. The crude oil component of another 540,000 tonnes of jet fuel highly expected to be consumed during the subsequent 18 months (450,000 tonnes during the subsequent 9 months and 90,000 tonnes during the last 9 months) will be hedged with six crude oil futures contracts. Each crude oil contract will be replaced with a 3-month jet fuel swap when their time to expiry becomes 6 months. Each time a futures contract is replaced with a jet fuel swap of 100,000 tonnes, the risk being hedged for the corresponding 3-month quantity is the jet fuel price risk in its entirety as opposed to the crude oil component of such price risk. Additionally, each time a futures contract is replaced with a jet fuel swap, new crude oil futures contracts will be purchased to maintain the hedge objective over the 24 months the hedging profile is kept | |
Type of hedge | Cash flow hedge |
Hedged item | The initial hedge items are:
The forecast purchases are considered to have a high probability of occurring because the entity has a consistent history of actually purchasing the forecasted quantities of jet fuel for the up-front 6 months. Regarding the forecasted purchase quantities being hedged for the periods beyond the initial 6 months are well below historical consumption levels |
Hedging instrument | The initial hedging instruments are:
|
Hedge effectiveness assessment | See below |
Hedge effectiveness will be assessed prospectively (i.e., forward looking) at hedging relationship inception and on an ongoing basis at least at each reporting date and upon occurrence of a significant change in the circumstances affecting the hedge effectiveness requirements. For effectiveness assessment purposes, the hedged item will be replaced with a hypothetical derivative that exactly matches the critical terms of the hedged item.
Hedge effectiveness will be assessed by comparing changes in the fair value of the hedging instrument to changes in the fair value of the hypothetical derivative. The hypothetical derivative will be valued at spot prices rather than at forward prices.
The effective part of the change in fair value of the hedging instrument will be determined as the lower, taking into account their signs, of this fair value change and that of the hedged item.
The hedging relationship will qualify for hedge accounting only if all the following criteria are met:
The hedging relationship will be considered effective if the following three requirements are met:
Regarding the first hedging relationship, whether there is an economic relationship between the hedged item and the hedging instrument will be assessed on a qualitative basis.
Regarding the second hedging relationship, whether there is an economic relationship between the hedged item and the hedging instrument will be assessed on a quantitative basis using the scenario analysis method. On each assessment date, the change in fair value of both the hedged item and the hedging instrument will be compared under two scenarios in which the Brent crude oil spot price of the risk being hedged will be shifted upwards and downwards by 10%.
Regarding the first hedging relationship, the hypothetical derivative was a jet fuel swap with critical terms identical to those of hedging instrument 1. In theory the fixed price of the hypothetical derivative should have taken into account that the “perfect hedge” would involve a credit risk-free counterparty, resulting in an immaterially higher fixed price (e.g., USD 900.10 per tonne) as the credit and debit valuation adjustments would be zero. In practice, due to the hedge's short-term tenor and the immateriality of the CVA, the entity assumed that the hypothetical derivative's fixed price was identical to that of the hedging instrument (i.e., USD 900 per tonne). Because the critical terms of both the hypothetical derivative and the hedging instrument matched, the entity concluded that the changes in the fair value of the hedged item and the hedging instrument generally moved in opposite directions, and hence that an economic relationship existed between the hedged item and the hedging instrument.
The assessment also included the determination of the relationship hedge ratio and the identification of the sources of potential ineffectiveness.
Regarding the hedge ratio for the first hedging relationship, ABC concluded that quantity necessary to hedge 1 tonne of jet fuel uplift was 1 tonne of jet fuel of the hedging instrument. As a result the hedge ratio was set to 1:1.
ABC identified the following as the main sources of potential ineffectiveness: firstly, a significant deterioration in the creditworthiness of the counterparty to the hedging instrument (Megabank); and secondly, a change in the (timing of) highly probable forecasted quantities and actual uplift of jet fuel by the entity below the hedging instrument notional.
Regarding the second hedging relationship, the hypothetical derivative was a crude oil swap with the following terms:
Hypothetical derivative terms | |
Trade date | 1 April 20X5 |
Counterparties | ABC Airlines and credit risk-free counterparty |
Effective date | 1 October 20X5 |
Maturity | 31 March 20X7 |
Notional quantity | 3,595,500 bbl for the 9-month period from October 20X5 to June 20X6 (i.e., 399,500 bbl per month) 719,100 bbl for the 9-month period from July 20X6 to March 20X7 (i.e., 79,900 bbl per month) |
Calculation period | Quarterly during the term of the transaction |
Fixed price payer | ABC Airlines |
Fixed price | USD 99.00 per bbl |
Floating price payer | Counterparty |
Commodity reference price | The closing price of the first nearby futures contract of Brent crude oil as quoted in USD/bbl on the International Petroleum Exchange |
Floating price | The unweighted arithmetic mean of the commodity reference price for each successive day of the calculation period during which such prices are quoted |
Payment date(s) | The last day of the calculation period |
Pricing date(s) | Each commodity business day from and including 1-Oct-X5 up to and including 31-Mar-X7 |
When designating a risk component as a hedged item, the hedge accounting requirements apply to that risk component in the same way as they apply to other hedged items that are not risk components. For example, the qualifying criteria apply, including that the hedging relationship must meet the hedge effectiveness requirements, and any hedge ineffectiveness must be measured and recognised.
To assess whether there was an economic relationship between the hedged item and the hedging instrument that gave rise to offset, a scenario analysis (see Figure 11.16) was performed by measuring the cumulative change in the fair value of the hypothetical derivative and the hedging instrument (i.e., the string of futures contracts) under two scenarios:
Based on the results of the scenario analysis, ABC concluded that an economic relationship existed between the hedged item and the hedging instrument.
The assessment also included the determination of the relationship hedge ratio and the identification of the sources of potential ineffectiveness.
Regarding the hedge ratio for the second hedging relationship and based on the spot prices of jet fuel and crude oil (see Figure 11.17), ABC concluded that the quantity necessary to hedge the crude oil component of 1 tonne of jet fuel was 7.99 (=898/112.4) barrels of crude oil. As a result the hedge ratio was set to 1:7.99.
ABC identified the following as the main sources of potential ineffectiveness: firstly, a significant deterioration in the creditworthiness of the counterparty to the hedging instrument (the ICE Futures Exchange); and secondly, a change in the (timing of) highly probable forecasted quantities and actual uplift of jet fuel by the entity below the hedging instrument notional.
ABC concluded that both hedges qualified for hedge accounting as they met all the qualifying criteria (see Figure 11.18):
There were other effectiveness assessments performed at each reporting date. The processes followed by ABC were very similar to that at hedge inception. They have been omitted to avoid unnecessary repetition.
Suppose that ABC reported its financial statements on a half-yearly basis, on 30 June and 31 December.
Each day ABC consumed 3,280 tonnes of jet fuel (i.e., 100,000 tonnes per month). Each tonne consumed was priced using the jet fuel spot price (i.e., the arithmetic mean of the high and low prices for jet fuel published under the heading “CIF NWE/Basis ARA” as quoted in Platts European Marketscan) prevailing on the loading day plus USD 36 per tonne. At the end of each month ABC paid the suppliers a cash amount representing the monthly consumption.
Suppose that the average spot price during the period from 1 April 20X5 to 30 June 20X5 was 975.00 per tonne and that the jet fuel purchased was directly loaded onto ABC's airplanes for immediate consumption, so that no inventory was held. The accounting entries on 30 June 20X5 related to the jet fuel consumption during this period (300,000 tonnes at USD 975.00 plus 36.00 per tonne) were as follows (in USD):
Recall that hypothetical derivative 1 was a jet fuel swap with terms identical to those of the contracted jet fuel swap but without any counterparty credit risk. The main terms of hedging instrument 1 were as follows:
Hedging instrument | Notional | Fixed price | Expiry date |
Jet fuel swap | 600,000 tonnes | USD 900/tonne | 30-Sep-X5 |
Therefore, the jet fuel swap had three periods already settled (corresponding to 30 April, 31 May and 30 June 20X5) and three upcoming settlement periods outstanding (corresponding to 31 July, 30 August and 30 September 20X5). The credit risk-free fair valuation of the jet fuel swap on 30 June 20X5, assuming that the then prevailing swap rate was USD 1,020 per tonne, was as follows:
Settlement date | Market swap rate | Jet fuel swap rate | Interest rate | Days from 30-Jun-X5 | Expected settlement amount | Present value |
31-Jul-X5 | 1,020 | 900 | 5% | 31 | 12 mn | 11,949,000 |
30-Aug-X5 (1) | 1,020 | 900 | 5.10% | 61 | 12 mn (2) | 11,897,000 (3) |
30-Sep-X5 | 1,020 | 900 | 5.20% | 91 | 12 mn | 11,844,000 |
Total | 36 mn | 35,690,000 |
Notes:
(1) Assuming 31-Aug-X5 is a non-business day
(2) 12,000,000 = [100,000 × (1,020 – 900)]
(3) 11,897,000 = [12,000,000 /(1 + 5.10% × 61/360)]
The change in fair value of the hypothetical derivative was thus a gain of 35,690,000, as its initial fair value was nil.
USD 12 million was the expected credit risk-free settlement amount to be received each remaining month by ABC under the jet swap. ABC had to subtract the CVA. Let us go over the CVA calculation for the 31-Sep-X5 settlement amount. Recall from Chapter 3 that the exponential CDS default method was as follows:
where PD is the probability of default, CDS is the credit default swap spread or bond spread (in our case 1-, 2- and 3-month CDS protection on Megabank was trading at 30 basis points), LGD is the loss given default (in our case LGD was assumed to be 45%, constant over the remaining life of the swap) and Maturity is the time to settlement date, in years (in our case this is 91 days out of 365, or 0.25). Therefore PD was 0.17% (=1 – exp(–0.003 × 0.25/0.45)). The CVA was USD 9,000 (=12,000,000 × 0.17% × 45%).
The fair valuation of the jet fuel swap on 30 June 20X5, including CVA, was as follows:
Settlement date | Market swap rate | Jet fuel swap rate | Interest rate | Days from 30-Jun-X5 | Expected settlement amount | CVA | Present value |
31-Jul-X5 | 1,020 | 900 | 5% | 31 | 12 mn | 3,000 | 11,946,000 |
30-Aug-X5 | 1,020 | 900 | 5.10% | 61 | 12 mn | 6,000 (1) | 11,891,000 (2) |
30-Sep-X5 | 1,020 | 900 | 5.20% | 91 | 12 mn | 9,000 | 11,835,000 |
Total | 36 mn | 35,672,000 |
Notes:
(1) 6,000 = 12,000,000 × [1 – exp((–0.003 × (61/365)/0.45)]× 0.45
(2) 11,891,000 = [(12,000,000 – 6,000)/(1 + 5.10% × 61/360)]
The change in fair value of the jet swap – hedging instrument 1 – from inception until the reporting date was then USD 35,672,000, as its initial fair value was nil.
The effective part of this fair value change was USD 35,672,000, the minimum of the fair value change of the hypothetical derivative (USD 35,690,000) and that of the hedging instrument (USD 35,672,000). The effective part was recognised in the cash flow hedge reserve of OCI.
The ineffective part was nil, the difference between the fair value change of the hedging instrument (USD 35,672,000) and the effective part (USD 35,672,000 as well). The ineffective part would have been recognised in profit or loss.
The accounting entries to record the change in fair value of the jet fuel swap were as follows (in USD):
On the last day of each month (i.e., 30 April 20X5, 31 May 20X5 and 30 June 20X5) ABC and Megabank settled the jet fuel swap. The settlement amounts totalled USD 22.5 million:
Period start | Period end | Average jet fuel | Settlement amount |
1-Apr-X5 | 30-Apr-X5 | 939 | 3,900,000 |
1-May-X5 | 31-May-X5 | 978 | 7,800,000 |
1-Jun-X5 | 30-Jun-X5 | 1,008 | 10,800,000 |
Total | 22,500,000 | ||
Cash (Asset) | 22,500,000 | ||
Jet fuel cost (Profit or loss) | 22,500,000 |
This amount was recognised in profit or loss (“jet fuel cost”) rather than adjusting an inventory account (i.e., a basis adjustment), as the jet fuel purchased went straight into ABC's airplanes rather than into storage.
The hypothetical derivative was an 18-month crude oil swap, with quarterly settlement periods, starting on 1 October 20X5, and with a USD 99 per barrel swap rate. Suppose that the crude oil swap rate prevailing on 30 June 20X5 for an 18-month swap forward starting on 1 October 20X5 was USD 113 per barrel. The fair valuation of the hypothetical derivative was as follows:
Settlement date | Notional (bbl) | Market swap rate | Hyp. der. rate | Interest rate | Days/years from 30- Jun-X5 | Expected settlement amount | Present value |
31-Dec-X5 | 1,198,500 | 113 | 99 | 5.30% | 183 D | 16,779,000 | 16,339,000 |
31-Mar-X6 | 1,198,500 | 113 | 99 | 5.40% | 274 D | 16,779,000 (1) | 16,117,000 (2) |
30-Jun-X6 | 1,198,500 | 113 | 99 | 5.50% | 365 D | 16,779,000 | 15,893,000 |
30-Sep-X6 | 239,700 | 113 | 99 | 5.60% | 1.25 Y | 3,355,800 | 3,135,000 |
31-Dec-X6 | 239,700 | 113 | 99 | 5.70% | 1.5 Y | 3,355,800 | 3,088,000 (3) |
31-Mar-X7 | 239,700 | 113 | 99 | 5.80% | 1.75 Y | 3,355,800 | 3,041,000 |
Total | 57,613,000 |
Notes:
(1) 16,779,000 = [1,198,500 × (113 – 99)]
(2) 16,117,000 = [16,779,000 /(1 + 5.40% × 274/360)]
(3) 3,088,000= [3,355,800/(1 + 5.70%)1.5]
Therefore, the change in fair value of the hypothetical derivative during the period was a USD 57,613,000 gain.
On 1 April 20X5 (the start date of the hedging relationship) the main terms of the initial crude oil hedging instruments were as follows:
Hedging instrument | Notional | Price | Expiry date |
Crude oil futures | 1,198,500 bbl | USD 98/bbl | 15-Dec-X5 |
Crude oil futures | 1,198,500 bbl | USD 98.3/bbl | 15-Mar-X6 |
Crude oil futures | 1,198,500 bbl | USD 98.6/bbl | 15-Jun-X6 |
Crude oil futures | 239,700 bbl | USD 99/bbl | 15-Sep-X6 |
Crude oil futures | 239,700 bbl | USD 99.3/bbl | 15-Dec-X6 |
Crude oil futures | 239,700 bbl | USD 99.7/bbl | 15-Mar-X7 |
The fair valuation of the string of futures contracts on 30 June 20X5, assuming CVA to be insignificant as the counterparty was an exchange and the position was margined, was as follows:
Settlement date | Notional (bbl) | Market futures rate | Traded futures rate |
Interest rate | Days/years from 30- Jun-X5 | Expected settlement amount | Present value |
15-Dec-X5 | 1,198,500 | 112.1 | 98 | 5.30% | 183 D | 16,899,000 | 16,456,000 |
15-Mar-X6 | 1,198,500 | 112.5 | 98.3 | 5.40% | 274 D | 17,019,000 (1) | 16,347,000 (2) |
15-Jun-X6 | 1,198,500 | 112.8 | 98.6 | 5.50% | 365 D | 17,019,000 | 16,120,000 |
15-Sep-X6 | 239,700 | 113.1 | 99 | 5.60% | 1.25 Y | 3,380,000 | 3,157,000 |
15-Dec-X6 | 239,700 | 113.3 | 99.3 | 5.70% | 1.5 Y | 3,356,000 | 3,088,000 (3) |
15-Mar-X7 | 239,700 | 113.5 | 99.7 | 5.80% | 1.75 Y | 3,332,000 | 3,019,000 |
Total | 58,187,000 |
Notes:
(1) 17,019,000 = [1,198,500 × (112.5 – 98.3)]
(2) 16,347,000 = [17,019,000 /(1 + 5.40% × 274/360)]
(3) 3,088,000 = [3,356,000 /(1 + 5.70%)1.5]
Due to the rolling hedging strategy, in which each quarter a crude oil futures contract was replaced with a 3-month jet fuel swap, ABC kept a record of the cash flow hedge reserve amounts related to each futures contract separately:
Futures settlement date | Futures change in fair value | Hyp. der. Change in fair value | Effective part | Ineffective part |
15-Dec-X5 | 16,456,000 | 16,339,000 | 16,339,000 | 117,000 |
15-Mar-X6 | 16,347,000 | 16,117,000 | 16,117,000 | 230,000 |
15-Jun-X6 | 16,120,000 | 15,893,000 | 15,893,000 | 227,000 |
15-Sep-X6 | 3,157,000 | 3,135,000 | 3,135,000 | 22,000 |
15-Dec-X6 | 3,088,000 | 3,088,000 | 3,088,000 | 0 |
15-Mar-X7 | 3,019,000 | 3,041,000 | 3,019,000 | 0 |
Total | 57,591,000 | 596,000 |
The effective and ineffective parts of the change in fair value of the crude oil future were recorded in OCI and profit or loss respectively. The accounting entries to record the change in fair value of the crude oil futures were as follows:
On 30 June 20X5 ABC's hedging strategy had the profile shown in Figure 11.19 (left). Because at the end of each quarter ABC's target hedging profile was as shown in Figure 11.19 (right) ABC had to do the following:
The accounting entries to record the sale of the crude oil futures expiring on 15 December 20X5 were as follows (in reality, due to the daily margining mechanism, any daily gain/loss was realised by adjusting the margin amount posted by ABC at the exchange, but to keep the calculations simple I have assumed a lump-sum receipt from the ICE on 30 June 20X5):
The new 3-month jet fuel swap and the newly purchased futures contracts remained off the balance sheet as I assume they were traded at market rates (i.e., their initial fair value was nil).
Following the execution of the rollover strategy the outstanding hedging instruments as of 30 June 20X5 were as follows:
Hedging instrument | Notional | Price | Expiry date |
Jet fuel swap | 300,000 tonnes | USD 900/tonne | 30-Sep-X5 |
Jet fuel swap | 300,000 tonnes | USD 1,023/tonne | 31-Dec-X5 |
Crude oil futures | 1,198,500 bbl | USD 98.3/bbl | 15-Mar-X6 |
Crude oil futures | 1,198,500 bbl | USD 98.6/bbl | 15-Jun-X6 |
Crude oil futures | 1,198,500 bbl | USD 110.3/bbl | 15-Sep-X6 |
Crude oil futures | 239,700 bbl | USD 99.3/bbl | 15-Dec-X6 |
Crude oil futures | 239,700 bbl | USD 99.7/bbl | 15-Mar-X7 |
Crude oil futures | 239,700 bbl | USD 113.7/bbl | 15-Jun-X7 |
Additionally on 30 June 20X5, ABC had to recalculate the hedge ratio, using a process similar to that of 1 April 20X5.
The fair valuations and accounting entries on the subsequent reporting dates followed a similar process and have been omitted to avoid unnecessary repetition.
In this case, the benchmark variables used to set the purchased jet fuel price and that of the jet fuel swap were identical – the CIF NWE/Basis ARA jet fuel price. It is not uncommon for European airlines to purchase jet fuel at prices linked to variables (e.g., NWE barges FOB Rotterdam jet fuel price) different from that of the hedging instrument. For example, some airports price relative to a CIF benchmark price (which excludes transport costs), whereas other airports rely on a FOB benchmark price (which includes transport costs). Having different benchmark variables would mean that the hypothetical derivative was different from the hedging instrument, bringing another layer of operational complexity.
Similarly, while jet fuel was a standardised product not dependent on which particular crude oil was processed by a particular refinery, the benchmark jet fuel crack spread derivatives market in the geographical area in which ABC operated was indexed to Brent crude oil. Moreover, ABC operated in a geographical area in which Brent was the crude oil benchmark. This meant that if, for example, ABC used crude oil futures based on WTI crude oil as the hedging instrument of the crude oil component, changes in the price differential between Brent crude oil and WTI crude oil would cause hedge ineffectiveness. In other words, the hypothetical derivative would be linked to Brent crude oil, while the hedging instrument would be linked to WTI crude oil.