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Risk & Allocation

The arithmetic of getting back to where you were

A fall and the gain needed to reverse it are not the same size. The gap widens fast, and it explains why large losses matter disproportionately.

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What follows is an argument about drawdowns and recovery, and about where the received version of it stops being true.

The argument in brief

  • The recovery needed grows faster than the fall that caused it.
  • Maximum drawdown is backward-looking and never a ceiling.
  • Contributions shorten a personal recovery; withdrawals lengthen it.

The asymmetry

A fall of a given percentage needs a larger percentage gain to return to the starting value, because the gain applies to a smaller base. A modest fall needs only a slightly larger gain, and the two figures diverge sharply as the fall gets deeper.

A halving requires a doubling, which is the clearest illustration of how quickly this asymmetry becomes severe. This is pure arithmetic and applies regardless of what caused the fall or what happens in the years afterwards. It is the mathematical reason why avoiding catastrophic losses matters more than capturing marginal additional gains.

What it does and does not imply

It does not imply that avoiding falls is possible, since they arrive without warning and the cost of trying to dodge them is high. It does imply that concentration, leverage and anything capable of a permanent loss deserve more scrutiny than volatility does. A diversified holding that falls and recovers is a fundamentally different phenomenon from a single holding that falls and does not.

Put simply, the arithmetic is identical in both cases; the difference is whether recovery is a reasonable expectation at all. This is why the distinction between volatility and permanent loss of capital is worth holding on to clearly.

Drawdown as a measure

Maximum drawdown describes the largest peak-to-trough fall over a period and is more intuitive for most people than volatility. It is also entirely backward-looking, and the largest fall in the available data is never a ceiling on future falls. A strategy that has never experienced a severe episode has an attractive drawdown figure and a completely untested one.

Where it helps most, the most useful thing about any drawdown figure is the question it prompts about whether you could have held through it. Answering that honestly is worth considerably more than any refinement of the statistic itself.

Time as well as depth

Recovery periods matter as much as depth, because a portfolio can spend years sitting below a previous peak. Somebody contributing throughout that period is buying at lower prices, which shortens their personal recovery relative to the index.

In practice, somebody withdrawing throughout is doing the opposite, which is why the same fall is far more damaging during retirement. The index figure and your own experience diverge substantially once contributions or withdrawals are part of the picture.

That divergence is the mechanism behind sequence risk, expressed through recovery arithmetic rather than through returns.

Sizing risk against the arithmetic

Ask what percentage fall your portfolio could absorb before the goal became unreachable within the horizon you have left. That number is a more useful input than any questionnaire answer about how you feel about volatility in the abstract. It also produces different answers at different life stages without requiring you to change your opinions about risk.

Where the answer comes out uncomfortably small, that is information about allocation rather than about temperament. Anything approaching this level of specificity about your own circumstances belongs with regulated advice locally.

Keeping the arithmetic in perspective

The asymmetry is often quoted to argue for defensive strategies whose costs exceed the risk they claim to address. Every approach that reduces the depth of falls also reduces participation in recoveries, and the trade is usually roughly fair. Diversification and an allocation you can actually hold do most of the available work at close to no cost.

Complex protection is generally paid for in fees, in complexity or in returns given up during long rising stretches. The arithmetic is a reason for humility about concentration, not a reason to buy products you cannot explain.

The takeaway

The arithmetic argues against ruin, not against volatility. Those are two different things to protect against.

Small and repeatable beats ambitious and abandoned, almost every time.

Questions readers ask

Why does a big fall matter so much more than a small one?

Because the gain needed to reverse it grows faster than the fall itself. A modest fall needs a similar gain; a deep one needs a much larger one.

Is maximum drawdown a good risk measure?

It is intuitive and entirely historic. Its main value is prompting an honest answer about whether you could have kept holding through it.

Risk & Allocationriskdrawdownarithmeticloss
Bethan Rees
Contributing writer, The Investment Habit

Bethan writes about drawdown and turning a portfolio back into an income.

Also by Bethan Rees