Payments Training Hub
Three banks PAYMENT OPERATIONS STARTED LIVE 01 Three banks - Consider three banks ACTIVE 02 Bank C drops out entirely because - its inflows and outflows exactly cancel. QUEUED 03 Clearing system timing effects - Business analysts working on clearing QUEUED 04 Its - zero. QUEUED 05 Bank C - pays nothing and receives nothing QUEUED 06 Bank C - has now sent only 30 instead of 90 QUEUED Consider three banks, A, B and C, exchanging payments during one clearing cycle. Step 1 of 6 Three banks STARTED Three banks Consider three banks ACTIVE Bank C drops out entirely because its inflows and outflows exactly cancel. QUEUED Clearing system timing effects Business analysts working on clearing QUEUED Its zero. QUEUED Bank C pays nothing and receives nothing QUEUED Bank C has now sent only 30 instead of 90 QUEUED Consider three banks, A, B and C, exchanging payments during one clearing cycle.
Bank C drops out entirely because PAYMENT OPERATIONS IN PROGRESS LIVE 01 Three banks - Consider three banks DONE 02 Bank C drops out entirely because - its inflows and outflows exactly cancel. ACTIVE 03 Clearing system timing effects - Business analysts working on clearing QUEUED 04 Its - zero. QUEUED 05 Bank C - pays nothing and receives nothing QUEUED 06 Bank C - has now sent only 30 instead of 90 QUEUED Bank C drops out entirely because its inflows and outflows exactly cancel. Step 2 of 6 Bank C drops out entirely because IN PROGRESS Three banks Consider three banks DONE Bank C drops out entirely because its inflows and outflows exactly cancel. ACTIVE Clearing system timing effects Business analysts working on clearing QUEUED Its zero. QUEUED Bank C pays nothing and receives nothing QUEUED Bank C has now sent only 30 instead of 90 QUEUED Bank C drops out entirely because its inflows and outflows exactly cancel.
Clearing system timing effects PAYMENT OPERATIONS IN PROGRESS LIVE 01 Three banks - Consider three banks DONE 02 Bank C drops out entirely because - its inflows and outflows exactly cancel. DONE 03 Clearing system timing effects - Business analysts working on clearing ACTIVE 04 Its - zero. QUEUED 05 Bank C - pays nothing and receives nothing QUEUED 06 Bank C - has now sent only 30 instead of 90 QUEUED Business analysts working on clearing systems need to model these timing effects carefully, especially when designing reports, reconciliations and liquidity forecasts for participants. Step 3 of 6 Clearing system timing effects IN PROGRESS Three banks Consider three banks DONE Bank C drops out entirely because its inflows and outflows exactly cancel. DONE Clearing system timing effects Business analysts working on clearing ACTIVE Its zero. QUEUED Bank C pays nothing and receives nothing QUEUED Bank C has now sent only 30 instead of 90 QUEUED Business analysts working on clearing systems need to model these timing effects carefully, especially when designing reports, reconciliations and liquidity forecasts for participants.
Its net position PAYMENT OPERATIONS IN PROGRESS LIVE 01 Three banks - Consider three banks DONE 02 Bank C drops out entirely because - its inflows and outflows exactly cancel. DONE 03 Clearing system timing effects - Business analysts working on clearing DONE 04 Its - zero. ACTIVE 05 Bank C - pays nothing and receives nothing QUEUED 06 Bank C - has now sent only 30 instead of 90 QUEUED Its net position is zero. Step 4 of 6 Its net position IN PROGRESS Three banks Consider three banks DONE Bank C drops out entirely because its inflows and outflows exactly cancel. DONE Clearing system timing effects Business analysts working on clearing DONE Its zero. ACTIVE Bank C pays nothing and receives nothing QUEUED Bank C has now sent only 30 instead of 90 QUEUED Its net position is zero.
Bank C nets to zero PAYMENT OPERATIONS IN PROGRESS LIVE 01 Three banks - Consider three banks DONE 02 Bank C drops out entirely because - its inflows and outflows exactly cancel. DONE 03 Clearing system timing effects - Business analysts working on clearing DONE 04 Its - zero. DONE 05 Bank C - pays nothing and receives nothing ACTIVE 06 Bank C - has now sent only 30 instead of 90 QUEUED Bank C pays nothing and receives nothing, because its inflows and outflows exactly cancel. Step 5 of 6 Bank C nets to zero IN PROGRESS Three banks Consider three banks DONE Bank C drops out entirely because its inflows and outflows exactly cancel. DONE Clearing system timing effects Business analysts working on clearing DONE Its zero. DONE Bank C pays nothing and receives nothing ACTIVE Bank C has now sent only 30 instead of 90 QUEUED Bank C pays nothing and receives nothing, because its inflows and outflows exactly cancel.
Bank C becomes a net creditor PAYMENT OPERATIONS COMPLETE LIVE 01 Three banks - Consider three banks DONE 02 Bank C drops out entirely because - its inflows and outflows exactly cancel. DONE 03 Clearing system timing effects - Business analysts working on clearing DONE 04 Its - zero. DONE 05 Bank C - pays nothing and receives nothing DONE 06 Bank C - has now sent only 30 instead of 90 ACTIVE Bank C has now sent only 30 instead of 90, so it becomes a net creditor of 20. Step 6 of 6 Bank C becomes a net creditor COMPLETE Three banks Consider three banks DONE Bank C drops out entirely because its inflows and outflows exactly cancel. DONE Clearing system timing effects Business analysts working on clearing DONE Its zero. DONE Bank C pays nothing and receives nothing DONE Bank C has now sent only 30 instead of 90 ACTIVE Bank C has now sent only 30 instead of 90, so it becomes a net creditor of 20.

Key points of this lesson, in order.

0:00 / 5:14 Step 1 of 6

A Worked Example with Three Banks

Clearing Concepts and Netting, Lesson 5 of 8, Narration 5:14, D07 Clearing, settlement and liquidity

Multilateral nettingSettlementLiquidity

What you will learn

Your objective. By the end of this lesson, you will be able to explain worked example with three banks. Consider three banks, A, B and C, exchanging payments during one clearing cycle.

Why it matters. Operations teams monitor this closely, because a sudden change in net position changes the liquidity a bank must have ready at settlement.

Chapter objective: Learner explains clearing, bilateral netting, multilateral netting, and the role of a clearing house, and calculates net settlement positions from a set of gross payment obligations. Learner demonstrates this skill using realistic banking examples, explaining each step clearly and using correct terminology throughout.

Key learning points

  • Three banks
  • Bank C drops out entirely because
  • Clearing system timing effects
  • Its net position
  • Bank C nets to zero
  • Bank C becomes a net creditor

Key terms

Multilateral netting: Netting across many participants in a clearing system, where each participant settles only its net position against the system.

Settlement: The final movement of funds between banks to discharge obligations created by cleared payments. Settlement is usually made in central bank money or through correspondent accounts.

Liquidity: Cash or assets that a bank can use immediately to meet payment obligations. Banks manage liquidity by forecasting inflows and outflows, funding nostro and settlement accounts, and using central bank...

Clearing and settlement timeline showing A Worked Example with Three Banks.

Practise this lesson

Exercise

Decide which settlement model fits the scenario in this lesson and explain why.

Use the settlement models, the liquidity trade-off and the finality rules in this lesson.

  1. What to do. Name the model, state when settlement becomes final, and explain what happens if the sending bank does not have enough liquidity.

Correct result. Real time gross settlement settles each payment individually in central bank money with immediate finality, but it needs liquidity for every payment. Deferred net settlement nets payments and settles the net position, which needs less liquidity but leaves settlement risk until the net settles.

Why. Settlement is where money actually moves. The model decides the risk, the liquidity need, and when the payment is truly final.

Check your understanding

Practice question

Which of the following best describes worked example with three banks?

Takeaway and next step

What to remember

An analyst writing test cases for a netting calculation should always include a balance check, because it catches a whole class of errors in one step.

Settle a payment like the one in this lesson and watch the liquidity and finality behaviour.

Open the T2/TIPS Simulator →

Builds on "Multilateral Netting and the Clearing House".

Transcript and full text

Show transcript

Consider three banks, A, B and C, exchanging payments during one clearing cycle. Bank A sends 100 to Bank B and 50 to Bank C. Bank B sends 70 to Bank A and 40 to Bank C. Bank C sends 30 to Bank A and 60 to Bank B. On a gross basis, the total value exchanged is 350. Now calculate each bank's net position. Bank A has sent 150 in total and received 100, so it is a net debtor of 50. Bank B has sent 110 and received 160, so it is a net creditor of 50. Bank C has sent 90 and received 90, so its net position is zero and it neither pays nor receives anything at settlement. Without netting, nine separate payments would need to settle, with a total gross value of 350 moving between banks. With multilateral netting, the whole cycle settles with a single payment of 50 from Bank A to Bank B. Bank C drops out entirely because its inflows and outflows exactly cancel. This example shows why netting is so powerful, even with just three participants. The liquidity needed falls from 350 to 50, which is a saving of more than eighty five percent. In real systems with many more participants and higher volumes, the saving is often even greater. This example also shows why cut off times matter. Payments received after the cut off are held for the next cycle, and that changes the net positions. A bank that expected to be a net creditor in one cycle may become a net debtor in the next if a large incoming payment misses the cut off. Operations teams monitor this closely, because a sudden change in net position changes the liquidity a bank must have ready at settlement. Business analysts working on clearing systems need to model these timing effects carefully, especially when designing reports, reconciliations and liquidity forecasts for participants. Recompute the example slowly, bank by bank. Bank A sends 100 to Bank B and 50 to Bank C, so it has sent 150 in total. It receives 70 from Bank B and 30 from Bank C, so it has received 100. Sent 150 minus received 100 leaves a net debit of 50, so Bank A owes 50. Bank B sends 70 to Bank A and 40 to Bank C, so it has sent 110. It receives 100 from Bank A and 60 from Bank C, so it has received 160. Received 160 minus sent 110 leaves a net credit of 50, so Bank B is owed 50. Bank C sends 30 to Bank A and 60 to Bank B, so it has sent 90, and it receives 50 from Bank A and 40 from Bank B, so it has received 90. Its net position is zero. Check that the numbers balance. The total of the net debits must equal the total of the net credits, because every payment has a sender and a receiver. Here the only net debit is Bank A with 50, and the only net credit is Bank B with 50, so they balance exactly. That check is the first thing a clearing house runs after calculating the positions. If the debits and credits do not balance, something is wrong in the gross files, and settlement must not proceed until the error is found. An analyst writing test cases for a netting calculation should always include a balance check, because it catches a whole class of errors in one step. Settlement is a single payment. Bank A pays 50 to Bank B through the settlement account, and the cycle is complete. Bank C pays nothing and receives nothing, because its inflows and outflows exactly cancel. Yet every customer still receives their payment in full. The customers of Bank B receive 100 from Bank A customers, the customers of Bank C receive 50 from Bank A customers, and so on. The gross value of 350 moved between customers, but only 50 moved between banks. The liquidity needed fell from 350 to 50, which is a saving of more than eighty five percent, and that saving is the whole point of netting. Now change one thing and watch the positions move. Suppose the payment of 60 from Bank C to Bank B arrives after the cut off, so it is held for the next cycle. Bank B has now received only 100 instead of 160, so its net credit falls from 50 to a net debit of 10. Bank C has now sent only 30 instead of 90, so it becomes a net creditor of 20. Bank A is unchanged, still a net debtor of 50. The new positions are Bank A owes 50, Bank B owes 10, and Bank C is owed 60, and again the debits and credits balance. Operations teams monitor this closely, because a single late file changes the liquidity every bank must have ready, and business analysts must model these timing effects when they design reports, reconciliations, and liquidity forecasts.

Consider three banks, A, B and C, exchanging payments during one clearing cycle. Bank A sends 100 to Bank B and 50 to Bank C. Bank B sends 70 to Bank A and 40 to Bank C. Bank C sends 30 to Bank A and 60 to Bank B. On a gross basis, the total value exchanged is 350. Now calculate each bank's net position. Bank A has sent 150 in total and received 100, so it is a net debtor of 50. Bank B has sent 110 and received 160, so it is a net creditor of 50. Bank C has sent 90 and received 90, so its net position is zero and it neither pays nor receives anything at settlement.

Without netting, nine separate payments would need to settle, with a total gross value of 350 moving between banks. With multilateral netting, the whole cycle settles with a single payment of 50 from Bank A to Bank B. Bank C drops out entirely because its inflows and outflows exactly cancel. This example shows why netting is so powerful, even with just three participants. The liquidity needed falls from 350 to 50, which is a saving of more than eighty five percent. In real systems with many more participants and higher volumes, the saving is often even greater.

This example also shows why cut off times matter. Payments received after the cut off are held for the next cycle, and that changes the net positions. A bank that expected to be a net creditor in one cycle may become a net debtor in the next if a large incoming payment misses the cut off. Operations teams monitor this closely, because a sudden change in net position changes the liquidity a bank must have ready at settlement. Business analysts working on clearing systems need to model these timing effects carefully, especially when designing reports, reconciliations and liquidity forecasts for participants.

Recompute the example slowly, bank by bank. Bank A sends 100 to Bank B and 50 to Bank C, so it has sent 150 in total. It receives 70 from Bank B and 30 from Bank C, so it has received 100. Sent 150 minus received 100 leaves a net debit of 50, so Bank A owes 50. Bank B sends 70 to Bank A and 40 to Bank C, so it has sent 110. It receives 100 from Bank A and 60 from Bank C, so it has received 160. Received 160 minus sent 110 leaves a net credit of 50, so Bank B is owed 50. Bank C sends 30 to Bank A and 60 to Bank B, so it has sent 90, and it receives 50 from Bank A and 40 from Bank B, so it has received 90. Its net position is zero.

Check that the numbers balance. The total of the net debits must equal the total of the net credits, because every payment has a sender and a receiver. Here the only net debit is Bank A with 50, and the only net credit is Bank B with 50, so they balance exactly. That check is the first thing a clearing house runs after calculating the positions. If the debits and credits do not balance, something is wrong in the gross files, and settlement must not proceed until the error is found. An analyst writing test cases for a netting calculation should always include a balance check, because it catches a whole class of errors in one step.

Settlement is a single payment. Bank A pays 50 to Bank B through the settlement account, and the cycle is complete. Bank C pays nothing and receives nothing, because its inflows and outflows exactly cancel. Yet every customer still receives their payment in full. The customers of Bank B receive 100 from Bank A customers, the customers of Bank C receive 50 from Bank A customers, and so on. The gross value of 350 moved between customers, but only 50 moved between banks. The liquidity needed fell from 350 to 50, which is a saving of more than eighty five percent, and that saving is the whole point of netting.

Now change one thing and watch the positions move. Suppose the payment of 60 from Bank C to Bank B arrives after the cut off, so it is held for the next cycle. Bank B has now received only 100 instead of 160, so its net credit falls from 50 to a net debit of 10. Bank C has now sent only 30 instead of 90, so it becomes a net creditor of 20. Bank A is unchanged, still a net debtor of 50. The new positions are Bank A owes 50, Bank B owes 10, and Bank C is owed 60, and again the debits and credits balance. Operations teams monitor this closely, because a single late file changes the liquidity every bank must have ready, and business analysts must model these timing effects when they design reports, reconciliations, and liquidity forecasts.

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