The global inflation surge following the pandemic was driven by a rare alignment of shocks: supply-chain disruptions, expansive fiscal policy, and exceptionally accommodative monetary conditions. By late 2022, inflation had reached multi-decade highs across much of the developed world.

What mattered for markets last year, however, was not where inflation stood, but where it was heading. High-frequency data showed a clear deceleration in goods inflation as supply chains normalised and cost pressures eased. Freight rates, delivery times, and input prices reverted rapidly toward pre-pandemic norms. While services inflation (particularly shelter) remained elevated, leading indicators such as new rental agreements pointed to disinflation ahead. From a systematic perspective, these trends are crucial. Changes in inflation momentum feed directly into real interest rates, discount factors, and expected asset returns. Markets respond not to inflation headlines, but to shifts in inflation dynamics. Models that track persistence, breadth, and turning points in inflation captured this transition well before it became consensus.

Central banks responded forcefully to inflation, but the timing and starting conditions differed meaningfully across regions. The Federal Reserve led developed markets with one of the most aggressive hiking cycles in decades, pushing real policy rates decisively into restrictive territory.

Monetary policy, however, operates with long and variable lags. By the time inflation data visibly softened, financial conditions had already tightened substantially. In contrast, many emerging-market central banks tightened earlier and from higher initial nominal rates. As a result, several EM economies entered last year closer to the end of their hiking cycles, while developed markets remained firmly restrictive. This sequencing matters. Capital flows are sensitive not only to interest-rate levels, but to directionality and credibility. Empirical evidence shows that assets tend to perform best when inflation is falling, policy tightening is behind them, and growth is stabilising. These are conditions that described parts of the EM universe more accurately than Developed Markets (DMs).

Despite persistent recession fears, global growth proved more resilient than expected, particularly in the US. However, resilience should not be confused with acceleration. From an asset-allocation perspective, relative growth differentials matter far more than absolute growth levels.

Emerging markets contributed a disproportionate share of incremental global growth. Even modest stabilisation in large EM economies had an outsized effect on risk premia. China, while structurally slower than in past cycles, ceased to be a source of repeated negative surprises. In an environment where expectations were extremely low, stability itself was a positive signal. Systematic valuation and macro models are designed to precisely capture these asymmetries between expectations and outcomes.

The US dollar weakened over the period, easing financial conditions and mechanically boosting EM returns in USD terms. However, attribution analysis suggests that currency effects explain less than half of EM outperformance.

If dollar weakness were the sole driver, performance would have been indiscriminate. Instead, dispersion across countries remained high. Economies with weak fiscal positions or poor policy credibility continued to underperform. This pattern confirms that fundamentals—not narratives—were the primary force.

In evidence-based frameworks, currency is treated as a conditional amplifier rather than a root cause. It supports returns only when global macro conditions are aligned.

Valuations played a central, if underappreciated, role. Entering the year, EM assets traded at historically wide discounts to DMs across multiple metrics. Decades of empirical research demonstrate that while valuation is a weak short-term timing tool, it is a powerful predictor of long-term returns.

Systematic processes explicitly incorporate valuation by adjusting expected returns rather than making binary calls. Last year’s EM performance was therefore not an anomaly, but a textbook case of mean reversion supported by improving macro fundamentals.

The conditions that drove last year’s outperformance are unlikely to repeat at the same pace. Developed-market resilience may delay rate cuts, and structural challenges remain. However, the regime appears to have shifted. EM balance sheets are stronger, inflation credibility has improved, and macro dispersion has increased. In such an environment, intuition and headlines are insufficient. Only a systematic, data-driven investment approach can consistently identify what matters, weigh competing signals, and translate complex macro dynamics into coherent asset-allocation decisions.

The future of investing belongs to those who can cut through the noise—using evidence, not emotion—to understand where asset classes are truly headed.

 

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