The recommended way to model a foreign exchange or currency forward contract ("FxForward") in LUSID is to create an instrument in the LUSID Security Master with the contract details (size of the forward exchange), and then book a unitised transaction in a portfolio (that is, one unit of the instrument).

You can model either a:

  • Standard FxForward: The exchange of two quantities of two different currencies at a specified date and time.

  • Non-Deliverable Forward (NDF): The payment of a settlement amount based on the exchange rate between two different currencies and amounts at a specified date and time.

This article focuses on modelling a Standard FxForward. There is also an accompanying Jupyter Notebook that demonstrates many of the concepts and operations.

Note: You can choose not to master an instrument and simply book a forward-settled cash transaction directly in a portfolio, but note LUSID's full suite of analytical capability is not currently available. See how to do this.

Mastering an instrument

To create an instrument modelling an FxForward, call the LUSID UpsertInstruments API and specify a definition with an instrumentType of FxForward, a domestic currency amount, a foreign currency amount, and start and maturity dates. For more information on constructing a suitable economic definition, examine the API reference and choose FxForward from the definition dropdown:

For example, providing you have a valid API access token, you could run the following command in your LUSID domain to create an FxForward instrument representing an obligation to pay/sell 1,000,000 GBP and buy/receive 1,200,000 USD on 15 May 2022 (that is, 6 months from the instrument start date, at an implied strike rate of 1.2):

curl -X POST 'https://<your-domain>.lusid.com/api/api/instruments'
   -H 'Authorization: Bearer <your-API-access-token>'
   -H 'Content-Type: application/json'
   -d '{"upsert-request-1": {
    "name": "GBPUSD 6M FxForward 20211115",
    "identifiers": {
      "ClientInternal": {
        "value": "FWD-GBPUSD-20211115",
        }
    },
    "definition": {
      "instrumentType": "FxForward",
      "startDate": "2021-11-15T10:00:00.0000000+00:00",
      "maturityDate": "2022-05-15T10:00:00.0000000+00:00",
      "domAmount": 1200000,
      "domCcy": "USD",
      "fgnAmount": -1000000,
      "fgnCcy": "GBP",
      "isNdf": False
    }
  }
}'

Note the following:

  • The startDate is 15 November 2021 and maturityDate is 15 May 2022, signifying a six month contract.

  • The domCcy must be the currency in which you want your holding in this instrument to be valued. It could be GBP, but in this example it is USD.

  • The domAmount is the amount of domCcy. It could be negative, but in this example it is positive since USD is being bought/received.

  • The fgnCcy is the other currency, in this case GBP. Note your holding will not be valued in this currency.

  • The fgnAmount is the amount of fgnCcy. It must have the opposite sign to domAmount, so in this example negative since domAmount is positive.

  • isNdf is false (the default) to signify this is a deliverable contract.

Providing the request is valid, the response contains an automatically-generated LUID (a system ID, in this case LUID_00003D58) that is guaranteed to be unique and never change. You can use this LUID to reference the instrument in subsequent API calls:

{
   "values": {
       "upsert-request-1": {
           "lusidInstrumentId": "LUID_00003D58",
           "version": {
               "effectiveFrom": "0001-01-01T00:00:00.0000000+00:00",
               "asAtDate": "2021-11-13T14:12:12.3335390+00:00"
           },
           "name": "GBPUSD 6M FxForward 20211115",
           "identifiers": {
               "LusidInstrumentId": "LUID_00003D58",
               "ClientInternal": "FWD-GBPUSD-20211115"
           },
           "properties": [],
           "instrumentDefinition": {
               "startDate": "2021-11-15T10:00:00.0000000+00:00",
               "maturityDate": "2022-05-15T10:00:00.0000000+00:00",
               "domAmount": 1200000.0,
               "domCcy": "USD",
               "fgnAmount": -1000000.0,
               "fgnCcy": "GBP",
               "refSpotRate": 0.0,
               "isNdf": false,
               "fixingDate": "0001-01-01T00:00:00.0000000+00:00",
               "instrumentType": "FxForward"
           },
           "state": "Active",
           "assetClass": "FX",
           "domCcy": "GBP"
       }
   },
   ...
}

Booking a transaction to establish a position

Once the instrument is mastered, you can call the LUSID UpsertTransactions API to record a purchase of the contract in a particular portfolio. 

As mentioned above, FxForwards should be created with the currency amounts encapsulated in the instrument, and the transaction itself unitised (that is, with the units set to 1). Note also:

  • The totalConsideration.amount (cost) should be 0.

  • The transactionCurrency and the totalConsideration.currency (settlement currency) should be the domCcy of the instrument, in this example USD.

  • The transactionDate and the settlementDate should mark the start of the contract, in this example 15 November 2021 (the instrument defines the length):

curl -X POST "https://<your-domain>.lusid.com/api/api/transactionportfolios/<scope>/<code>/transactions"
   -H "Authorization: Bearer <your-API-access-token>"
   -H "Content-Type: application/json"
   -d '[ {
        "transactionId": "fxfwd-gbp-usd-6m-01",
        "type": "StockIn",
        "instrumentIdentifiers": {
          "instrument/default/LusidInstrumentId": "LUID_00003D58"
        },
        "transactionDate": "2021-11-15T00:00:00.0000000+00:00",
        "settlementDate": "2021-11-15T00:00:00.0000000+00:00",
        "units": 1,
        "transactionPrice": {
          "price": 0,
          "type": "Price"
        },
        "totalConsideration": {
          "amount": 0,
          "currency": "USD"
        },
        "transactionCurrency": "USD",
        "exchangeRate": 1
    }
]'

Note this transaction uses the built-in StockIn transaction type rather the built-in Buy, since there is no cash outlay. However, you could define your own custom transaction type to represent FxForward purchases if you wish.

You can confirm your position at any time by calling the LUSID GetHoldings API with the appropriate LUID:

curl -X GET "https://<your-domain>.lusid.com/api/api/transactionportfolios/<scope>/<code>/holdings?filter=instrumentUid%20eq%20'LUID_00003D58'"
   -H "Authorization: Bearer <your-API-access-token>"

Valuing your position

You can value your position against actual or estimated exchange rates at any time, and calculate the notional profit or loss (that is, the amount you have gained or lost by virtue of having entered into the fixed rate contract, relative to not having done so). You might do this to comply with IAS 39 or other hold-to-maturity accounting treatments (that is, without discounting, which is a separate treatment that is not discussed further in this article; contact Technical Support for more information).

In the example above, we are obliged to buy 1,200,000 USD at a cost of 1,000,000 GBP in 6 months from the instrument start date, which means the implied strike rate is 1.2. If we value the contract after 3 months and the current spot rate has decreased to 1.1, then you would expect LUSID to show your position with a notional profit of 100,000 USD, since you have ‘gained’ this amount by fixing the forward rate. On the other hand, if the spot rate has increased to 1.3, then you would expect LUSID to show a notional loss of 100,000 USD.

Loading market data into LUSID

You must first load suitable market data into LUSID. This can be:

  • A FxForward curve loaded into the Complex Market Data Store; see section 4.2 of the accompanying Jupyter Notebook for a demonstration. This enables you to value the contract without having to specify an exact date; LUSID can interpolate and extrapolate from the curve to resolve dated forwards.

  • A discount factor curve loaded into the Complex Market Data Store encapsulating the idea that money today is not worth the same as money in the future.

  • A FX spot rate loaded into the Quote Store.

Creating a valuation recipe

You must create a valuation recipe that specifies which valuation model to use. Choose either:

  • SimpleStatic to add your own quotes in for the instrument.

  • Discounting to discount each cashflow by a discounting curve for the currency. This model is not discussed further in this article; contact Technical Support for more information.

  • ForwardWithPointsUndiscounted to value your position using dated pips, or ForwardSpecifiedRateUndiscounted to value your position using rates loaded into the Quote Store, as demonstrated in the previous section.

  • ForwardFromCurveUndiscounted to value your position using an FxForward curve loaded into the Complex Market Data Store. For a demonstration of creating such a recipe, see section 5 of the accompanying Jupyter Notebook.

Note: By default, a recipe creates a single valuation for your position. Set the produceSeparateResultForLinearOtcLegs flag to True in the recipe to generate separate valuations for each currency leg, as demonstrated in section 5 of the Jupyter Notebook.

Understanding P&L

Assuming the IAS 39 accounting treatment is preferred, the NAV of the instrument is simply comprised of the P&L difference of the currency legs when the foreign leg is converted back to the reporting currency at the appropriate forward exchange rate. This assumes one leg of the FxForward is in the portfolio currency, and that one leg is the cash amount to be modelled.   

If the legs are split for display purposes, the forward cash amounts are displayed in their domestic currency amount.

For a demonstration, see the valuations on Days 1, 2 and 3 in section 6.1 of the accompanying Jupyter Notebook.

Assessing risk

LUSID provides an exposure calculation and supports both analytic and bump and valuation mechanisms for assessing risk.

Monitoring the lifecycle of the instrument

At some point you must decide whether to roll an FxForward contract or hold it until maturity.

Rolling a contract means extending its maturity date; typically, the old contract is closed by setting a holding of zero (with a cash amount booked to reflect the P&L) and a new contract with a longer time to expiry is executed to replace the old. For a demonstration, see section 7.1 of the accompanying Jupyter Notebook.

If you choose to hold until maturity then note an instrument does not ‘expire’ in LUSID; it is still available post-maturity, although the valuation is zero. If you set your holding to zero it no longer appears in reports unless you are deliberately backdating.

Handling automatic lifecycle events

LUSID is transitioning to a system where it automatically emits lifecycle events for FxForwards. We provide default transaction templates that you can use as-is to automatically generate transactions in impacted portfolios, and recommendations for transaction types that deliver appropriate economic impacts. More information.

Contact us to turn this feature on in your environment. The following events are available for FxForwards:

Instrument event type

Effect of LUSID default transaction template

Recommendation for your transaction type

FxForwardSettlementEvent

Two transactions are automatically generated for a standard deliverable FxForward and one for a NDF. The intention is that you handle this event to exchange the two cashflows.

See this tutorial.

MaturityEvent

One transaction is automatically generated. The intention is that you handle this event to set your position in the instrument to zero, so it drops out of valuation reports.

Manually loading settlement transactions

If you do not want to turn on automatic instrument lifecycle events you can continue to monitor upcoming cashflows using Dashboards > CashLadder in the LUSID web app, or by calling the GetPortfolioCashLadder API directly.

You can call the GetUpsertablePortfolioCashFlows API to  return imminent cashflows as upsertable DTOs ready to manually load into LUSID as input transactions. For a demonstration, see sections 7.2 and 7.3 of the Jupyter Notebook.