The Banking Executive Magazine - May 2026 Issue

New Approaches to Economic Forecasting ranges that reflected potential devia- tions. This framework was not without merit. By anchoring expectations around a single, coherent outlook, policymakers were able to commu- nicate clearly with markets and the public. The use of fan charts—illus- trating a range of possible outcomes around the baseline—offered a struc- tured way to express uncertainty while preserving analytical disci- pline. Implicit in this approach, how- ever, was a critical assumption: that the future would, in essence, resem- ble the past. That assumption has come under in- creasing strain. The pandemic marked a decisive break from historical patterns. Supply chains, once considered resilient and efficient, proved vulnerable to dis- ruptions that propagated rapidly across borders and sectors. Inflation dynamics, long subdued, re-emerged with unexpected force. Central banks, despite sophisticated models and extensive data, found themselves consistently underestimating the scale and persistence of price pres- sures. What had been treated as tem- porary distortions revealed deeper structural shifts within the global economy. The current geopolitical environment reinforces this reality. The conflict af- fecting key energy corridors has in- troduced a new layer of complexity, particularly for economies that re- main heavily dependent on imported energy. While historical prece- dents—such as past oil crises—offer some reference points, the present context differs in significant ways. The interplay of regional actors, the configuration of global energy mar- kets, and the broader economic backdrop combine to create a situa- tion without a direct parallel. In such circumstances, the distinc- tion between risk and uncertainty be- comes more than a theoretical nuance. The economist Frank Knight articulated this difference over a cen- tury ago. Risk, in his framework, refers to situations where outcomes are uncertain but quantifiable; prob- abilities can be assigned based on historical experience. Uncertainty, by contrast, arises when the underly- ing structure itself is evolving in ways that defy prior observation. In these cases, probabilities lose their mean- ing because the range of possible outcomes cannot be reliably defined. Today’s economic environment bears the hallmarks of what is often de- scribed as “Knightian uncertainty.” The challenge is not merely that out- comes are difficult to predict, but that the mechanisms driving those outcomes are themselves in flux. Under such conditions, traditional forecasting tools—particularly those that rely on historical relationships— risk providing a false sense of preci- sion. The limitations of conventional ap- proaches are most evident in the re- liance on single baseline forecasts. While useful in stable environments, a single projection struggles to cap- ture fundamentally different trajecto- ries that may arise from structural changes. Expanding the range of a fan chart does little to address this issue. A wider band may signal greater uncertainty, but it still as- sumes that the future can be de- scribed as a variation of the past. When the “story” of the economy is itself uncertain, such an approach becomes insufficient. An alternative framework has begun to gain traction among leading cen- tral banks and economic institutions. Rather than presenting a single fore- cast, this approach emphasizes the development of multiple, well-de- fined scenarios. Each scenario repre- sents a distinct and internally coherent narrative about how eco- nomic conditions may evolve, sup- ported by corresponding projections for key variables such as growth, in- flation, and interest rates. The strength of this method lies in its ability to accommodate fundamen- tally different outcomes. For in- stance, in the context of current energy market disruptions, one sce- nario may assume that tensions re- main contained, allowing supply chains to stabilize and prices to grad- ually revert toward previous levels. Another scenario may consider the possibility of escalation, leading to sustained supply constraints, ele- vated energy prices, and broader sec- ond-round effects on inflation and economic activity. A third scenario might explore intermediate dynam- ics, reflecting partial disruptions and uneven adjustments across regions. Importantly, scenario-based forecast- ing is not merely an exercise in speculation. Each scenario is accom- panied by a clear narrative explain- ing the economic logic at play, as well as specific indicators that would signal a shift from one trajectory to another. This structured approach enhances transparency and provides decision-makers with a more nu- anced understanding of potential risks and opportunities. Several major central banks have al- ready begun to adopt this frame- work. The European Central Bank, for example, has moved away from traditional fan charts in favor of pre- senting multiple scenarios, explicitly acknowledging the limitations of probabilistic tools under conditions of elevated uncertainty. Similarly, Sweden’s Riksbank has incorporated alternative scenarios into its commu- nications, while the Bank of Canada has, at times, refrained from issuing a single baseline forecast when no credible projection could be estab- lished. These developments reflect a broader shift in how institutions ap- proach uncertainty. Rather than striv- ing for precision in an inherently unpredictable environment, the em- phasis is increasingly placed on clar- ity, flexibility, and intellectual honesty. Credibility, in this context, ISSUE 209 MAY 2026 the BANKING EXECUTIVE 31