Latest / Monetary Policy Explained with Fexingo: Central Banks, Money Supply, and Interest Rates / The Hidden Cost of Cashless Payments on Central Banks
Transcript
- Lucas: Let’s start with a number that doesn’t get enough attention: the ratio of physical currency in circulation to total bank deposits. In the mid-nineties, that ratio hovered around twenty percent. Today, it’s below five percent in most major economies. That isn’t just a convenience story about not carrying wallets. It is a fundamental structural shift in how money moves through the financial system. Luna: Right, and I think people assume that because the money is digital, it behaves exactly like cash, just faster. But the accounting layers underneath are completely different. The velocity of those transactions changes the pressure on bank reserves in ways we didn't have to model ten years ago. Lucas: Exactly. When you swipe a card or tap your phone, you aren't just moving information; you are triggering a chain of settlement events between banks, clearinghouses, and non-bank payment providers. And every single one of those legs requires liquidity. So when transaction volumes hit record highs, which they did last quarter across the S&P 500 financials sector, the demand for overnight funding spikes unexpectedly. Luna: That sounds like a classic friction point. Does the central bank see this coming, or do they only react when the repo market gets twitchy? Lucas: They see the aggregate volume, but they don't always see the fragmentation. Here is the thing: most of that payment activity now happens outside the traditional two-party bank to bank wire. It flows through third-party processors, fintech platforms, and stablecoin-adjacent rails. These entities hold their operational cash in sweep accounts at commercial banks, creating sudden, massive swings in deposit balances that can evaporate in minutes during stress periods. Luna: So the central bank is trying to steer a ship where half the cargo keeps shifting from one deck to another without anyone telling them. Lucas: Precisely. And this creates a problem for interest rate control. If deposits are volatile, the federal funds rate can drift away from the target range simply because there isn't enough excess reserves in the system to absorb the daily shocks. We saw hints of this during the last Treasury auction cycle when short-term rates spiked despite the Fed's intent to keep them steady. Luna: That connects directly to what we discussed in the last few episodes about balance sheets, but this feels more immediate. It’s about daily plumbing, not long-term asset holdings. Lucas: It is the daily plumbing. And the plumbing is clogging up in new places. Consider the role of the overnight reverse repurchase agreement facility. The Fed uses it as a floor for interest rates, basically parking excess cash there. But when payment volatility increases, banks pull cash out of that safe harbor to meet immediate settlement needs. That drains the cushion the Fed built to keep rates stable. Luna: I remember reading a report from a major European central bank noting similar dynamics with instant payment schemes. They found that liquidity buffers had to be doubled just to handle normal Tuesday afternoons. Lucas: That’s the global pattern. In the United States, we are seeing the same thing amplified by the sheer scale of our consumer credit card and digital wallet markets. Every time a consumer pays with a digital method backed by credit, the bank has to front the cash immediately to the merchant. That creates an intraday liquidity gap that widens significantly during holiday seasons or promotional sales events. Luna: And since these gaps happen intraday, the end-of-day reserve numbers might look fine, masking the stress that happened earlier. Lucas: Correct. And if the central bank is only looking at end-of-day aggregates, they miss the intra-day volatility that can trigger margin calls or force fire sales of assets. This is why the conversation is shifting from just managing the quantity of reserves to managing the quality and predictability of their flow. Luna: Does this mean central banks are going to have to intervene more frequently in the repo market to smooth things out? Lucas: We are already seeing more frequent open market operations. But the real question is whether they should be changing the regulatory framework instead. Right now, reserve requirements are largely symbolic in the U.S., but liquidity coverage ratios for banks are tightening. If payment processors become too large to fail, they might eventually fall under stricter capital rules, which would change how they manage their cash. Luna: That seems like a huge regulatory leap. Forcing a payment app to act like a bank just because it moves a lot of money. Lucas: Not acting like a bank, but acknowledging that they are performing a bank-like function. If you hold customer funds and settle transactions, you are effectively creating a form of shadow banking. And shadow banks don't have access to the lender of last resort in the same way insured depository institutions do. That asymmetry is where the risk lives. Luna: So the central bank is essentially watching the shadows to protect the light. Lucas: A poetic way to put it, but accurate. Let’s look at a concrete example. Take the recent surge in buy now pay later services integrated directly into checkout flows. These aren't traditional loans. They are point of sale financing arrangements. When millions of consumers use them simultaneously, the underlying merchant acquiring banks face a synchronized demand for working capital that wasn't priced into their models. Luna: I’ve seen those options pop up constantly lately. It makes me wonder if the inflation data we’re seeing is partly driven by this ease of credit rather than just supply chain issues. Lucas: That is a sophisticated observation. Easy credit drives demand, and higher demand pushes prices up. But more importantly for our topic, it drives transaction volume. Every BNAP transaction adds to the complexity of the payment network. It adds another layer of counterparty risk. If the BNAP provider fails, the merchant still expects payment. That shock ripples back to the acquiring bank, and potentially to the broader system. Luna: It feels like we are building a financial skyscraper on top of a foundation that is constantly being reshaped by consumer habits. Lucas: That is exactly the challenge. And the central banks are responding by developing better real-time monitoring tools. Some are experimenting with providing intraday credit facilities specifically designed to handle payment spikes. Instead of waiting for the next FOMC meeting to discuss rates, they might adjust intraday liquidity parameters to keep the gears turning smoothly. Luna: That sounds like a move toward much more granular, technical intervention. Less macro, more micro. Lucas: Exactly. It blurs the line between monetary policy and financial stability supervision. You can’t separate the two anymore because the mechanism of payment is the bridge between them. When payments stall, credit freezes. When credit freezes, the economy contracts. It is a direct pipeline. Luna: So ignoring the payment rails is no longer an option for policymakers. They have to understand the code behind the cash. Lucas: They absolutely do. And this brings us to the issue of interoperability. Currently, different payment networks operate in silos. A transfer on one rail doesn't instantly settle on another. This lack of seamlessness creates pockets of trapped liquidity. Central banks are pushing for standards that allow money to flow freely across these boundaries, reducing the need for banks to hold excessive precautionary reserves. Luna: Which would make the system more efficient, but also more interconnected. If one node fails, the contagion could spread faster. Lucas: Yes, that is the trade-off. Efficiency versus resilience. In the past, the friction between different systems acted as a buffer. Now, that buffer is being removed to speed up commerce. We are accepting higher systemic velocity in exchange for lower transaction costs. The central bank’s job is to ensure that velocity doesn't turn into instability. Luna: It’s a tightrope walk. Faster money is good for consumers, but scary for regulators. Lucas: Scary, yes. But necessary. We cannot go back to a world where settling a payment takes three days. The modern economy runs on near-instant confidence. The question is whether our regulatory frameworks can evolve fast enough to support that confidence without breaking the banks that provide it. Luna: I suspect the answer will involve a lot more collaboration between tech companies and central bankers than we are used to seeing. Lucas: Collaboration is already happening. Look at the development of wholesale central bank digital currencies for cross-border settlements. That is literally code meeting policy. It is the ultimate expression of this trend. If you want to understand where monetary policy is heading, watch the payment protocols. Luna: That is a great place to leave it. The code is the new cash. Lucas: If walking through the economy with us has made something click, consider supporting the show directly. A small group of listeners already chips in monthly through buy me a coffee dot com slash fexingo, and that revenue covers our production costs without relying on ads. It keeps the content independent and focused on the details that matter to you. Luna: Yeah, it really helps sustain the deep dives we try to do each week. Thanks for keeping the lights on. Lucas: Back to the main thread though. One final thought on the future of this dynamic. As ai driven fraud detection becomes standard, it might actually reduce the liquidity drag on banks. If false positives drop, fewer transactions get stuck in review queues. That means smoother settlement flows and less need for emergency liquidity injections. Luna: So technology solves the friction it creates. I hope that holds true, but I’ll believe it when I see the data. Lucas: We will keep watching the data. Until then, the payments system remains the quiet engine room of the global economy.