Why Netting Matters for Risk and Liquidity

Netting reduces the amount of money that must move at settlement, and that directly reduces both liquidity risk and settlement risk. A bank that only needs to fund a small net debit is far less likely to fail to settle than a bank that must fund large gross payments. This makes the whole system more stable, especially on days when volumes spike, for example at month end when salaries, supplier payments and tax payments all fall on the same day. Without netting, those peak days would require enormous amounts of intraday liquidity and would strain even well capitalised banks. Netting also reduces operational risk. Fewer settlement payments mean fewer opportunities for a payment to fail, to be sent to the wrong account or to be delayed. It simplifies reconciliation, because each participant has one net figure to agree against the clearing house record, rather than hundreds of individual gross payments to match. That single figure becomes the control total for the cycle, and any difference between the bank's own calculation and the clearing house calculation can be investigated before settlement, rather than discovered afterwards when money has already moved. There is a trade off that analysts must understand. Netting concentrates settlement into a single moment, usually at the end of a cycle, which means that if a participant fails at that moment, the impact can be larger than if payments had settled one by one through the day. Systems manage this with prefunding, collateral, loss sharing arrangements and default procedures, which are covered in later chapters. The point for now is that netting is not free. It buys efficiency and liquidity savings, and it pays for them with a concentrated settlement exposure that must be managed deliberately. Put numbers on the saving. On a month end day, eight banks submit payments with a gross value of EUR 12 billion through a deferred net settlement system. After netting, the settlement amounts total EUR 900 million, so netting has removed 92.5 percent of the liquidity the banks would otherwise have needed. Without netting, several of those banks would have had to hold far larger balances at the central bank, or borrow intraday, just to get through the day. Now look at the other side of the same day. The largest net debtor owes EUR 210 million at the 4 in the afternoon settlement. If it cannot pay, and the system has no prefunding, no collateral, and no loss sharing agreement, the whole cycle fails and hundreds of thousands of retail payments, salaries and supplier payments, are delayed to the next day. The fix is to size the protection to the risk. Require prefunding or collateral that covers at least the largest single net debit, and agree in advance how the survivors share any remaining loss. A business analyst uses netting in two places where the numbers matter. First, in the business case for joining or building a clearing system, where the gross to net ratio is the headline saving. Gross value processed, net value settled, and the percentage saved, shown for an average day and for a peak month end day. Second, in stress testing, where the required scenario is the failure of the largest participant on the peak day, and the test passes only if settlement still completes in full. If the test shows the cycle would fail, the design is not ready, and the options are to raise the prefund, add collateral, or move to more settlement cycles per day so the exposure at any one moment is smaller.