Easing is supposed to be a cushion. But cushions can smother. The paradox of modern monetary policy is that every cut that soothes today can invite a harder problem tomorrow. That is the question lurking beneath new talks of rate reductions and financial stability. An FT analysis asks whether policymakers risk easing too much. The harder truth is that, in a system more levered, faster moving and more complex than in past cycles, emergency relief may not arrest a crisis as cleanly as it once did—yet it can still plant the seeds for the next one.
The shift is already underway. In February, the Bank of England trimmed rates to 4.5 percent, pointing to cooling inflation and wages. Other central banks are preparing similar moves. The mechanics are familiar: cut rates, lower term premia, watch financial conditions ease, and hope growth stabilizes without reigniting inflation. Markets, used to the pattern, price in more. Investors have learned to expect support whenever stress flares. That conditioning—call it the central bank put—adds a self-fulfilling layer to risk-taking. It is the engineering equivalent of building higher levees. You reduce routine floods, but people build on the floodplain. When a breach finally comes, the damage is larger.
Game theory offers a clean frame. If a policymaker must choose between tolerating pain now or easing to limit downside, the dynamic equilibrium is simple. The path of least resistance wins, again and again. That is time inconsistency. You promise to stay tight to keep inflation anchored and leverage in check. But when markets buckle, you ease. Agents who anticipate this response add leverage during calm periods. Over cycles, that response function becomes encoded in prices. This is not an accusation; it is a structural feature of a world where financial stability is a mandate in all but name. Once moral hazard is embedded, withdrawing it without causing a shock becomes harder with each iteration. The Minsky view—stability breeds instability—is not a slogan. It is a probability statement about how risk migrates under predictable rescue regimes.
Recent history separates plumbing from losses. Central banks can and should act as lenders of last resort to solvent institutions. In March 2020, dollar swap lines and bond purchases restored functioning to core markets. In 2022, targeted UK gilt operations stopped a feedback loop in liability-driven pension strategies. In 2023, a facility calmed US regional bank deposit runs while duration losses were digested. These were liquidity problems with solvency shadows. Rate cuts can paper over duration mismatches, but they do not erase losses on long assets funded by short liabilities. Nor do they fix business models made viable only by cheap money. If policy eases at the first sign of stress, the system retains weak links. Zombies survive. Tail risks get fatter. The absence of frequent small failures does not mean health. It means dry underbrush.
The system has changed. A larger share of credit intermediation sits outside regulated banks. Treasury market depth depends on leveraged basis trades and dealer balance sheets with tighter constraints. Cross-border carry trades tie funding costs in one currency to asset prices in another. Algorithms transmit shocks at machine speed. This is a tightly coupled network. In complex systems, interventions face diminishing returns because the channels of transmission are opaque and the points of failure move. Normal accidents become more normal. The toolkit—rate cuts, quantitative easing, emergency facilities—can still buy time. But the dose required to stop a cascade tends to grow with complexity, and the side effects compound. Think of a bridge that sways. Add dampers, and you shift the resonant frequency. Unless you strengthen the structure, the oscillation returns in a new form.
Low discount rates pull future cash flows forward. They also compress the compensation investors demand for bearing risk. That is finance 101, and it is not free. When policy holds down the risk-free anchor, duration and credit spreads wear the adjustment. Corporates roll debt and buy back stock. Private markets take the baton, marking resilience to models. A cut or two can revive the carry trade and push valuations to edges where a marginal shock has outsized price impact. When volatility is low and funding is cheap, selling insurance looks rational. The problem is not the first trade but the crowding. If everyone sells optionality, the market’s shock absorber thins. Easing then becomes a volatility suppressant rather than a growth enhancer. The next disturbance passes through a system with less cushion.
The risk that matters is not only financial. Inflation is a stubborn process shaped by expectations and supply constraints. If policy eases into still-tight labor markets or sticky services prices, expectations can drift. Regaining credibility later often requires more tightening than would have been needed to stay patient. The 1970s are the blunt example of time inconsistency playing out; the 2020s have different drivers—geopolitics, energy transitions, fiscal deficits—but the mechanism is similar. Goodhart’s law applies: when you target financial conditions to hit growth, the measure ceases to reflect underlying health. That is how benign numbers hide rising fragility. The probability math is unforgiving. Trade small gains now for higher tail risk later, and the expected loss can rise even as average outcomes look stable. Small fires prevented lead to big fires.
Safety devices change behavior. The seatbelt paradox in traffic is echoed in markets. When participants believe the central bank will cut to cushion falls, they drive faster. Supervisors raise capital and liquidity requirements, which helps, but risk migrates to pockets without the same buffers. The more the official sector insulates the system from day-to-day volatility, the more leverage and duration gather in the shadows. Then policy must do more to offset the next shock. Each rescue increases the threshold for pain and the quantity of pain when it arrives. That is the hallmark of fragility. Robust systems absorb small hits. Antifragile systems benefit from them. Our architecture does neither well when the default answer to stress is broader easing.
The response is not to keep rates high for punishment’s sake. It is to separate tools and accept some visible pain to avoid hidden risk. Use targeted liquidity backstops to keep markets functioning. Keep the policy rate aligned with medium-term inflation, not with the VIX. Build buffers in quiet periods—countercyclical capital charges, loan-to-value caps, and real scrutiny of nonbank leverage. Fix market plumbing where the transmission matters—Treasury market capacity, clearinghouse risk, and margining that does not force procyclical fire sales. Clarify that support is for funding markets, not price levels. Communicate the reaction function in a way that reduces the incentive to game it. For investors, assume no put. Prefer balance sheets that do not depend on cheap funding and liquidity you can count on in a stress. If easing comes, treat it as a reprieve, not a floor. The aim is not a softer landing. It is a system that can land anywhere without breaking.
