Quant · Risk

The Carry Trade Hides in Plain Sight

The usual account of the August 2024 unwind begins with volatility having been unusually low. On the funding currency it was at the 48th percentile, so the measure that sizes the position gave no warning beforehand and demanded selling only after the move.

Issue date
Last revised
Data through
2 September 2026
The August 2024 yen unwind, and what the volatility measure showed beforehandUpper panel: USD/JPY, the VIX and the Nasdaq-100 indexed to their 10 July 2024 levels across June to September 2024, with a marker at 5 August. USD/JPY falls about 10 per cent, the VIX spikes to nearly 39 and the Nasdaq-100 drops over the same days. Lower panel: 60-day realised volatility of USD/JPY since 2005, with the ten weeks before the unwind shaded. That window sits at the 48th percentile of the sample, close to the median, and volatility only rises after 5 August.One carry position, and the rule that sizes itUSD/JPY as the funding proxy859095100INDEXED, 10 JULY 2024 = 10017 Jun27 Jun10 Jul22 Jul31 Jul12 Aug21 Aug03 Sep12 Sep24 Sep5 Aug 202410203040VIXUSD/JPYNasdaq-100VIXPrices indexed, VIX at its own level0204060REALISED VOL, %2006200920122015201820212024sample median 8.7%USD/JPY realised volatility, 60-day, annualisedten weeks before the unwind:8.7%, the 48th percentile5 Aug 2024Before the unwind this volatility measure was at its median. It gave no signal.A volatility target cuts after the move, not before it.
The August 2024 yen unwind, and what the volatility measure showed beforehandUpper panel: USD/JPY, the VIX and the Nasdaq-100 indexed to their 10 July 2024 levels across June to September 2024, with a marker at 5 August. USD/JPY falls about 10 per cent, the VIX spikes to nearly 39 and the Nasdaq-100 drops over the same days. Lower panel: 60-day realised volatility of USD/JPY since 2005, with the ten weeks before the unwind shaded. That window sits at the 48th percentile of the sample, close to the median, and volatility only rises after 5 August.Yen-funded carry, August 2024859095100INDEXED, 10 JULY 2024 = 10017 Jun09 Jul29 Jul15 Aug05 Sep25 Sep5 Aug 202410203040VIXUSD/JPYNasdaq-100VIXPrices indexed, VIX on the right0204060REALISED VOL, %200620102014201820222026sample median 8.7%USD/JPY realised volatilitygold band: ten weeks before the unwind,8.7% vol, the 48th percentileVolatility was at its median before the unwind.A vol target cuts after the move, not before.
Figure 1 · A named position, and a mechanism that fails its test Carry is used loosely; this figure fixes it to one observable object, the yen-funded position whose unwind the BIS documented, proxied by USD/JPY. The lower panel tests the usual explanation and does not support it. Realised volatility in the ten weeks before the unwind was at the 48th percentile of its twenty-year distribution, which is ordinary, not calm. A volatility-targeting rule would have seen nothing before the move and cut hard after it. The procyclicality is real; the advance warning is not. Source: Yahoo Finance chart API for USD/JPY and the Nasdaq-100; Cboe Global Markets for the VIX. Notes: USD/JPY is quoted as yen per US dollar, so a fall is yen appreciation. Realised volatility is the standard deviation of daily log changes over a trailing 60 sessions, annualised by the square root of 252. The percentile result is not sensitive to that choice: 20-day and 120-day windows put the pre-unwind period at the 53rd and 43rd percentiles respectively. USD/JPY is a price proxy for a funding position, not a measure of aggregate carry positioning, which no public daily source provides. Data through: 30 September 2024 (event panel); 3 September 2026 (volatility panel).

The standard account of the August 2024 unwind begins by saying that volatility had been unusually low, which made leverage cheap and positions large. On the funding currency most closely associated with the episode, that account is not supported. In the ten weeks before 5 August 2024, sixty-day realised volatility in USD/JPY averaged 8.7 per cent, the 48th percentile of its distribution since 2005. On a twenty-day window it was the 53rd percentile; on a hundred-and-twenty-day window, the 43rd. It was, by every measure tried here, ordinary.

Figure 1 reports both halves: the unwind itself, which was violent, and the volatility measure that preceded it, which was unremarkable. The second half is a negative result and is kept because it bears directly on whether the mechanism this article proposes can be used as a warning system.

Section 01Fixing what the word means

Carry is used loosely enough to mean almost nothing, so this article attaches it to one observable object: the yen-funded position whose unwind the Bank for International Settlements documented in Bulletin 90. Borrow in a low-rate currency, hold higher-yielding assets, and the position earns a rate differential while remaining exposed to the funding currency appreciating. USD/JPY is therefore a price proxy for the position: a sharp fall, meaning yen strength, is the loss signature.

It is a proxy and nothing more. No public daily series measures aggregate carry positioning, and the exchange rate moves for many reasons besides the closing of levered positions. What the proxy supports is a description of the episode's shape, not an estimate of who was positioned or by how much.

The shape is clear enough in the upper panel. From its 10 July 2024 level, USD/JPY had already fallen 7.3 per cent by 31 July. On 5 August it was 9.8 per cent below that level, the VIX closed at 38.57, and the Nasdaq-100 was 13.4 per cent lower. The yen went on strengthening after the equity market had stabilised, reaching 12.9 per cent below the July level by mid-September.

Section 02The sizing rule, and what it did not do

The proposed amplification channel is mechanical and easy to state. Volatility-targeting strategies scale exposure inversely to a risk forecast, and value-at-risk limits bind less tightly when recent volatility is low. A quiet stretch therefore permits a larger position at unchanged risk appetite, and the same rule demands a reduction once volatility rises.

The second half of that story survives the data. Sixty-day realised volatility in USD/JPY averaged 11.9 per cent between 5 August and 30 September, the 80th percentile of the sample. A constant volatility target would have cut the position by roughly 27 per cent on that move alone, and would have done so while the market was moving against it. The procyclicality is real.

The first half does not survive. There was no unusual calm to be read as permission. Whatever made the position large by early August, this volatility measure would not have shown it, and would not have shown it on any of the three windows tested. That matters practically: the same statistic used to size the position is the one that failed to flag it, and a risk system built on it would have registered nothing until the loss had already happened.

A calm-to-crowding loop A clockwise six-stage cycle. The gold build-up half runs down the right side from low realised volatility to higher leverage to crowded carry, an exogenous shock sits at the bottom as the pivot, and the charcoal unwind half runs up the left side through a forced unwind, driven by margin and deleveraging, to a volatility spike. A dashed cyan reset returns from the volatility spike to low volatility as the spike fades and the loop can restart. At the centre, the note calm is a position, not a condition sits over a small sparkline that runs flat and then spikes. The calm-to-crowding loop low vol → leverage → crowd → shock → unwind calm invites leverage the bill comes due vol fades · loop restarts 01 Low realised vol 02 Higher leverage 03 Crowded carry Shock exogenous 04 Forced unwind 05 Volatility spike calm is a position, not a condition Schematic. The same machinery that permits leverage when volatility is low forces selling when it rises.
Figure 2 · A calm-to-crowding loop Low vol → leverage → crowded carry ‖ shock → forced unwind → volatility spike → reset The build-up is conditional, not automatic: low measured volatility can permit leverage and attract capital to carry. If a shock raises volatility and collateral demands together, the same sizing rules can turn adjustment into forced deleveraging.
vol-target sizing:     position  =  target_vol / realised_vol
                       => position rises as realised_vol falls

measured, USD/JPY realised volatility, annualised:

    window        1 May - 10 Jul 2024      percentile of 2005-2026 sample
     20-day             8.5%                        53rd
     60-day             8.7%                        48th
    120-day             8.4%                        43rd

    5 Aug - 30 Sep 2024, 60-day            11.9%     80th percentile

    implied position change on that move:  -27%

The rule is symmetric in form and asymmetric in use. Positions accumulate gradually while the risk estimate is unremarkable and are cut quickly once it is not, so the sizing statistic is uninformative during the build-up and decisive during the unwind.

Section 03What is left of the argument

Removing the calm-before-the-storm claim leaves the article's substance intact and changes what it is for. Negative-skew exposures do accrue smoothly and lose abruptly. Backward-looking risk estimates do understate the risk of a position whose losses are concentrated in rare states, because the rare state has not happened yet and so contributes nothing to the estimate. Sizing rules built on those estimates are procyclical.

What fails is the inference from a quiet tape to a crowded position. The July 2024 volatility reading was ordinary and the unwind was severe, so the reading carried no information about the exposure. A measure that is uninformative about a build-up cannot be used to anticipate it, however good its account of the aftermath.

The volatility that mattered was not low beforehand. It was simply not measuring the thing that was accumulating.

Whether some other observable would have shown the build-up is a fair question this research cannot answer. Futures positioning data, cross-currency basis, and prime-brokerage leverage have all been proposed, and none is available at daily frequency in a form this journal can verify. The result stands as a narrow negative: on the most obvious candidate, realised volatility in the funding currency, there was nothing to see.

  • USD/JPY is a price proxy for a funding position, not a measure of carry positioning. No public daily source measures aggregate positioning, and none is used here.
  • The negative result is specific to realised volatility in USD/JPY. It does not establish that no observable would have signalled the build-up, only that this one did not.
  • Percentiles are computed against a 2005 to 2026 sample containing the global financial crisis and 2020, both of which raise the distribution's upper tail and therefore lower the percentile assigned to any moderate reading. Restricting the sample to 2010 onwards puts the pre-unwind window at the 53rd percentile, and to 2015 onwards at the 56th, so the conclusion does not depend on the start date.
  • The upper panel is an event study around a dated episode. It shows co-movement across three markets and identifies no causal effect; a Bank of Japan rate decision and US labour-market data fall inside the same window.
  • The implied position change is arithmetic from a stated constant volatility target. It is not an observed mandate, and no fund is claimed to have run this rule.

This research is analysis and commentary for general information. It is not investment advice, an offer, or a solicitation, and it contains no price forecasts. Volatility statistics are the author's own calculations from the sources cited.

References & notes

  1. Aquilina, M., Lombardi, M., Schrimpf, A., and Sushko, V. (2024). The market turbulence and carry trade unwind of August 2024. BIS Bulletin No. 90. bis.org. Primary source for the identification of the episode as a yen-funded carry unwind and for its cross-market description.
  2. Brunnermeier, M. K., Nagel, S., and Pedersen, L. H. (2008). Carry Trades and Currency Crashes. NBER Macroeconomics Annual, 23, 313-347. Source for the negative-skew characterisation of currency carry returns that Section 03 relies on.
  3. Cboe Global Markets. VIX historical index values. cboe.com. Official source for the VIX series in Figure 1.
  4. USD/JPY and Nasdaq-100 series are from the Yahoo Finance chart API, a secondary market-data vendor. The reproduction script, the realised-volatility series and the percentile calculations are in research/2025-08/.

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