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Public debt in a rare anomaly — the silent alarm of August 2015

Article

The extreme

Some series swing so much that a big jump barely surprises. Public debt as a share of GDP is not one of them. It moves slowly, month by month, and rarely jumps. That is why, when public indebtedness pulled away from its own history in a way the archive almost never records, the signal weighed more than it seemed. In a gauge that measures a stock, not a mood, a departure of that size is not a market scare — it is a fracture that had been building up becoming visible all at once. In numbers: public debt at 62.97% of GDP, more than three deviations from its own average — one of the widest departures ever recorded in the archive.

What happened next

The difference between this alarm and the others of the same month is time. In the exchange rate, which sounded a similar alarm in the same month, the number can reverse within weeks. A stock of indebtedness cannot: it climbs by accumulation and only eases by accumulation. The backdrop did not help undo it — the economy combined recession with stubborn inflation, and the Selic pinned at 14.25% a year anchored neither the currency nor fiscal confidence. A high rate at its limit, and the patient not responding.

What did not happen

Debt that far from its own history was not, by itself, a prophecy of collapse. A statistical anomaly measures rarity, not destiny. And it was not an isolated signal: in the same month, the exchange rate and a fiscal-tension gauge also broke through the same band. A lone alarm can be noise; three independent series in rare territory at the same time is a regime. But debt itself did not "explode" that August — it merely made legible, in a single signal, what had been writing itself for months.

The honest verdict

An extreme in a slow series says more than the same extreme in a volatile one: it is not a scare, it is structure. Debt at 62.97% of GDP did not announce what was coming — it recorded what already was.

Continue reading: The three alarms of August 2015 · What is a statistical anomaly · The 2015 crisis and the 2016 bottom →

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