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🌐 Cross-Border Demands Banks Get Ready for ‘Clearing 2.0’ 🌐
October 16, 2022
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As real-time payments networks operate across the globe — FedNow in the U.S. and Faster Payments in the U.K., to name just two examples — those systems still need to communicate with one another as payments cross borders. Data needs to flow, in real time, across currencies and time zones.

And no matter the transaction size, or the senders and recipients — commercial or consumer — banks will still be the trusted intermediaries to make it all happen.

Shaunt Sarkissian, group chief markets officer at The Bank of London, told Karen Webster that the recently announced RTP initiative being piloted by The Clearing House (TCH), EBA Clearing and SWIFT would help further shape how clearing banks operate as real-time payment systems change money movement itself.

The pilot, he said, with the in-place support of 25 banks, “is a further accelerant to what we can call ‘Clearing 2.0’ — and shows what banks can do to be more effective.”

Clearing the Path for Money Movement

Clearing banks have been a mainstay in cross-border transactions and are needed to approve transactions that flow between accounts associated with various banking networks — where, say, a company with an account via Citi in one country transacts with another firm’s Chase account in another country.

As funds are credited and debited, these clearing banks make sure that funds in the payer’s account are able to cover the transaction and honor checks as they are drawn and sent. Traditionally, these same banks have had to “capture” money held in reserve to make sure that the transactions are completed.

The RTP pilot, and faster real-time transactions in general, he said, increases efficiency of these reserves. If the stated goal, as Russ Waterhouse, EVP of TCH said recently, is to make cross-border real-time transactions as simple as domestic real-time payments, it’s important for there to be instant assurance that the sender has funds available to cover the transaction as counterparty banks communicate with one another.

“If you look at this as point-to-point, real-time movement of money, what they’re really doing is streamlining the messaging,” said Sarkissian, “and this makes transactions safer and faster.”

👉Of course, a pivot from the way things have always been done will take some time.  Sarkissian noted that there might be some technical heavy lifting necessary to combat the frictions inherent in legacy systems and manual processes.

Sarkissian said there are enough tailwinds in place to spur banks to more fully embrace real-time, cross-border transactions. Regulators are syncing to agree on compliance and messaging; the transaction “dollar” limits are being raised in many corridors, which will boost transaction volumes.

Security Is Top of Mind — Flexibility, Too

One key area that needs to be addressed, said Sarkissian, lies with know your customer (KYC) and anti-money laundering (AML).  After all, he said, faster payments can pave the way for faster fraud. Banks will need to examine whether their fraud detection and prevention systems are “caught up” with RTP.

💥The “Clearing 2.0” bank also must be flexible enough to embrace the emergence of new point-to-point, global networks such as 👉Ripple (and XRP) and to settle in whatever currencies stakeholders demand.💥

“As a clearing bank you’ll need the ability to work with whatever rails come in, and as fast as they can move money,” he said.

One key advantage throughout cross-border commerce as RTP networks communicate and interoperate is that the costs of the transfers will decline as transparency and security improve. As parties transact in real time they won’t be as exposed to FX risk, he added.

“As we look at Clearing 2.0,” he said, “from a banking perspective, it’s full steam ahead, and the stars are staring to align.”

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The Great Onboarding: US Government Anchors Global Economy into Web3 via Pyth Network

For years, the crypto world speculated that the next major cycle would be driven by institutional adoption, with Wall Street finally legitimizing Bitcoin through vehicles like ETFs. While that prediction has indeed materialized, a recent development signifies a far more profound integration of Web3 into the global economic fabric, moving beyond mere financial products to the very infrastructure of data itself. The U.S. government has taken a monumental step, cementing Web3's role as a foundational layer for modern data distribution. This door, once opened, is poised to remain so indefinitely.

The U.S. Department of Commerce has officially partnered with leading blockchain oracle providers, Pyth Network and Chainlink, to distribute critical official economic data directly on-chain. This initiative marks a historic shift, bringing immutable, transparent, and auditable data from the federal government itself onto decentralized networks. This is not just a technological upgrade; it's a strategic move to enhance data accuracy, transparency, and accessibility for a global audience.

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This development is closer to science fiction than traditional finance. The same oracle network, Pyth, that secures data for over 350 decentralized applications (dApps) across more than 50 blockchains, processing over $2.5 trillion in total trading volume through its oracles, is now the system of record for the United States' core economic indicators. Pyth's extensive infrastructure, spanning over 107 blockchains and supporting more than 600 applications, positions it as a trusted source for on-chain data. This is not about speculative assets; it's about leveraging proven, robust technology for critical public services.

The significance of this collaboration cannot be overstated. By bringing official statistics on-chain, the U.S. government is embracing cryptographic verifiability and immutable publication, setting a new precedent for how governments interact with decentralized technology. This initiative aligns with broader transparency goals and is supported by Secretary of Commerce Howard Lutnick, positioning the U.S. as a world leader in finance and blockchain innovation. The decision by a federal entity to trust decentralized oracles with sensitive economic data underscores the growing institutional confidence in these networks.

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Pyth Network stands as tangible proof that this technology serves a vital purpose. It demonstrates that the industry has moved beyond abstract "crypto tech" to offering solutions that address real-world needs and are now actively sought after and understood by traditional entities. Most importantly, it proves that Web3 is no longer seeking permission; it has received the highest validation a system can receive—the trust of governments and markets alike.

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US Dept of Commerce to publish GDP data on blockchain

On Tuesday during a televised White House cabinet meeting, Commerce Secretary Howard Lutnick announced the intention to publish GDP statistics on blockchains. Today Chainlink and Pyth said they were selected as the decentralized oracles to distribute the data.

Lutnick said, “The Department of Commerce is going to start issuing its statistics on the blockchain because you are the crypto President. And we are going to put out GDP on the blockchain, so people can use the blockchain for data distribution. And then we’re going to make that available to the entire government. So, all of you can do it. We’re just ironing out all the details.”

The data includes Real GDP and the PCE Price Index, which reflects changes in the prices of domestic consumer goods and services. The statistics are released monthly and quarterly. The biggest initial use will likely be by on-chain prediction markets. But as more data comes online, such as broader inflation data or interest rates from the Federal Reserve, it could be used to automate various financial instruments. Apart from using the data in smart contracts, sources of tamperproof data 👉will become increasingly important for generative AI.

While it would be possible to procure the data from third parties, it is always ideal to get it from the source to ensure its accuracy. Getting data directly from government sources makes it tamperproof, provided the original data feed has not been manipulated before it reaches the oracle.

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