21. Post Trade Clearing, Settlement & Processing

What this lecture covers

This lecture explains what happens after a trade is executed, a topic the lecturer admits even Wall Street traders rarely understand in detail. It uses this deep dive into clearing, settlement, and netting to test where permissioned blockchain technology genuinely could reduce costs in post-trade infrastructure, building on the course's running theme of identifying real verification and networking cost savings versus mere technology enthusiasm.

After watching, you can distinguish execution, clearing, and settlement as three separate steps, explain why netting through a central clearinghouse reduces counterparty risk and transaction volume, and evaluate concrete blockchain pilot projects like the Australian Securities Exchange's.

Key ideas

• Execution, clearing, settlement: three distinct steps in a trade — agreeing on price and volume (execution), confirming and netting the resulting exposures (clearing), and making the final, legally binding change of ownership on a ledger (settlement).
• Netting: a central clearinghouse can reduce many gross transactions between multiple parties down to a much smaller number of net obligations per participant, cutting both counterparty risk and operating costs.
• Delivery versus payment (DVP): settling the security and the cash simultaneously so neither party is exposed to the other defaulting.
• Prime brokerage: an arrangement letting a trader like a hedge fund trade throughout the day on credit before their prime broker nets and settles their positions; the lecture uses Long-Term Capital Management's 1998 collapse as a cautionary example of what happens when this credit is over-extended.
• T+2 settlement: most equity markets settle trades two days after execution rather than instantly, a legacy of paper-based processing that persists partly because instant settlement would require pre-funding every trade.
• Final projects checklist: the lecture's nine questions for evaluating a blockchain use case, including what data is recorded, which verification or networking costs are being reduced, and whether a native token is actually needed.
• Permissioned blockchain pilots: projects like the Australian Securities Exchange's (using Digital Asset's Hyperledger-based platform) and ISDA's Common Domain Model aim to automate back-office processes with smart contracts, without necessarily using a native token or fully decentralized network.

Walkthrough

Final project guidance (3:02)

Before the main topic, the lecture reviews nine questions students should answer for their final projects: what value proposition or pain point they're addressing, what data and transactions are recorded, which multiple stakeholders need read/write access, which verification or networking costs are reduced, what competitors are doing, why an append-only log with multi-party consensus is the right solution, whether a native token is genuinely needed, what scalability and adoption trade-offs exist, and what the user interface should look like.

Defining execution, clearing, and settlement (19:46)

Through class discussion, the lecture defines execution as simply agreeing on price and volume, clearing as authenticating that both parties actually hold the security and cash and calculating net exposure, and settlement as the final, binding change of ownership recorded on a ledger. It notes that physical securities were dematerialized into digital records starting in the 1970s and largely completed by the 1990s.

Why netting matters (25:51)

Using a diagram from the Australian Securities Exchange, the lecture shows how a central clearinghouse can reduce many bilateral transactions to a much smaller number of net positions per participant, cutting counterparty risk and operational cost by well over 90% in some cases, while still preserving the full transaction record for tax and reporting purposes. The historical origin of clearinghouses in 19th-century physical commodity warehouses is used to illustrate why centralization emerged.

Prime brokerage and systemic risk (32:05)

The lecture explains prime brokerage arrangements, where a broker extends intraday credit and finds securities to borrow on a client's behalf, and uses the 1998 collapse of Long-Term Capital Management, a hedge fund with roughly $1.2 trillion in derivatives against a $4-5 billion capital base, as an example of the risk this credit extension can create when it isn't properly limited.

Could blockchain replace the clearinghouse? (50:47)

The lecture poses a direct question: could a shared ledger structure remove the central clearinghouse entirely? Class discussion surfaces the key tension: true simultaneous execution and settlement, as in Bitcoin, would require pre-funding every trade, eliminating the netting benefit that markets have built around over centuries. The lecture notes that DTCC's own research found little customer demand for simultaneous settlement despite technical feasibility.

Live projects: Australia, Estonia, Japan, and ISDA (1:02:16)

The lecture surveys real pilots: the Australian Securities Exchange's Hyperledger-based replacement for its 25-year-old clearing system, expected to run in parallel with the legacy system for 12 months after a 2020 rollout; Nasdaq's blockchain platform for Estonia's exchange, focused on illiquid private securities and proxy voting; Japan Exchange Group's post-trade matching tests; and ISDA's Common Domain Model, which aims to represent derivatives contract terms as machine-readable code to automate back-office processes, though the lecture notes this is blockchain-inspired rather than necessarily blockchain-based.

Before you watch

• Review the course's framework for evaluating verification and networking costs, since this lecture applies it directly to clearing and settlement.
• Recall the earlier discussion of crypto exchange custody and market structure, since it's contrasted with traditional securities clearing here.

Check your understanding

1. What are the three separate steps in processing a trade, and what does each one actually do?
2. Why does netting through a central clearinghouse reduce both counterparty risk and operating costs?
3. What would have to change about how trades are funded if markets moved to true simultaneous execution and settlement?
4. What lesson does the Long-Term Capital Management example illustrate about prime brokerage and leverage?
5. According to the lecture, why is the Australian Securities Exchange's blockchain project not using a true smart contract system like Ethereum's?