Guyton-Klinger: the original guardrails, their power and their limits

In 2006, the financial planner Jonathan Guyton and the computer scientist William Klinger published the most influential dynamic withdrawal rule ever written. Their set of decision rules promised to lift the initial withdrawal rate to 5.2 or 5.6%, against Bengen's 4%, in exchange for a few adjustments to the standard of living. The success was enormous. "Guardrails" became the common name of a whole family of strategies, and the rule is still one of the most widely used by US advisers.

Then modern research, ERN first among them, opened the hood and found the hidden flaw. In bad vintages the cuts repeat year after year and real income sinks 30 to 45% for decades. The portfolio's survival was bought with a failure of the standard of living, and the tables in the original article never showed it. This article tells both halves of the story: the exact rules, which get quoted far more often than they get stated correctly; where the apparent power came from, what exactly goes wrong, and the proof of it; and the modern fixes, the floor first among them, plus the parameters worth defending if you adopt the rule anyway.

The exact rules, for once§

The 2006 article ("Decision Rules and Maximum Initial Withdrawal Rates") defines four rules, almost always truncated when they are quoted. Here they are in full, because the details are the strategy.

1. The Portfolio Management Rule. This is the order of sales. You fund the withdrawal first from cash and from the gains of whatever outperformed. You never sell stocks in a year they fell: those sales wait for the recovery, while bonds and cash bridge the gap. It is a small procedural buffer built into the rule (The cash buffer: size, cost, and what it is really for), often forgotten when people replicate the strategy, and part of the measured benefit comes from it.

2. The Withdrawal Rule. The inflation adjustment is skipped in the years that follow a negative portfolio return, if the current withdrawal rate sits above the initial rate. This is exactly the indexation freeze after a red year (The fixed inflation-adjusted withdrawal (Bengen): the benchmark rule), in conditional form. The article also caps indexation at 6% a year.

3. The Capital Preservation Rule, the lower guardrail. If the current withdrawal rate goes above 120% of the initial rate (say an initial rate of 5% and a current rate above 6%), the withdrawal is cut by 10%. It stops applying in the last fifteen years of the horizon. Cutting at 82 to protect a portfolio that has only ten years left to last would make no sense.

4. The Prosperity Rule, the upper guardrail. If the current rate drops below 80% of the initial rate, the portfolio has run away, and the withdrawal is raised by 10%. It is the sister of Kitces's ratchet, but reversible: a later cut can take the raise back.

The whole thing hangs together and can actually be run. Every January 1, one ratio to compute, three comparisons, at most one adjustment of 10% either way. The article's promise was a big one. With these rules, a portfolio at 65% stocks supported an initial rate of 5.2 to 5.6% with 99% "success" over 40 years. That is a point and a half better than Bengen, a multiple of 18x or 19x instead of 25x (How much you need). The enthusiasm is easy to understand: on the face of it, five years of work saved.

Why it looked so strong, and where the flaw sits§

Where does that free point and a half come from? From three sources, and they are not equally respectable. The first is legitimate. Rules 1 and 2 are genuine improvements, and nearly painless ones: the order of sales and the indexation freeze are worth about 0.3 to 0.5 point together, as later research confirmed. The second is an artifact of its time. The 2006 simulations ran on friendly US data and on horizons of 40 years at most (Simulator traps: independence, US bias, survivorship). The third is the construction flaw, and it deserves a hard look. The article's "success" measures the survival of the portfolio, not the survival of the standard of living, and the cuts of rule 3 are unlimited in number.

Run the pathology on the textbook vintage (Bengen, the Trinity study, and the birth of the safe withdrawal rate, 1966). A hostile regime sets in (Market regimes (growth × inflation, sticky bears) and why they matter). The portfolio falls, the current rate crosses 120% of the initial rate, and the 10% cut lands. The next year the portfolio has fallen again, because bear markets persist. The current rate crosses the threshold again, so another cut lands. And so on.

In ERN's simulations (parts 9 and 10 of the series, ERN's Safe Withdrawal Rate series: a reader's guide), retirements starting between 1966 and 1969 take cascades of cuts under Guyton-Klinger that push real income 35 to 45% below its starting level and hold it there for ten to twenty years. The portfolio, meanwhile, survives beautifully. And it survives precisely because the retiree was put on a diet for two decades. The success rate reads 99%; the life lived reads a generation of lean years. The psychological asymmetry is cruel. Every 10% cut arrives after a down year, when morale is already at its lowest, and the prosperity rule hands the raises back only years later.

GUYTON-KLINGERThe cascade of cuts, and what a floor changes010203040real income delivered ($k a year), initial rate 4.3% on $1M1966197519851995with a 78% floor: the descent stops at −22%no floor: five cuts, −57%$43k for four yearsThe portfolio survives either way: $886k with no floor, $313k with one. The diet bought that survival.1966 vintage, real US 60/40; rules 3 and 4 only (corridor ±20%, adjustments ±10%), no taxes.
The pathology, simulated on the 1966 vintage with an initial rate that is perfectly reasonable at 4.3%. With no floor, five cuts follow one another as the thresholds get crossed, and real income ends at $18.5k, down 57%, where it stays four years before climbing slowly back. With a floor at 78% of the starting level, the descent stops at $33.5k and the household spends the crossing, the years inside the bear market, right there. The capital never worried for a moment: with no floor it ends bigger than it started. The success rate was measuring the survival of the portfolio, not the survival of the standard of living.

Modern research does not conclude that Guyton-Klinger fails. It concludes that its failure number cannot be compared with the failure number of a fixed rule. A 1% failure probability under GK means "even cutting without limit, 1% of the paths run out". That is a different event, and a far worse one, than a 5% failure under Bengen. Comparing the two failure rates without reading the income delivered is the central mistake of this whole part of the book (Withdrawal strategies: the map before the territory). Which puts one simple demand on whatever tool you use. As soon as a dynamic rule is switched on, failure probability is no longer enough: you have to read the distribution of the spending actually delivered, year by year, beside it. A simulator that returns nothing but a success rate for a rule with unlimited cuts is hiding half the answer (Simulator traps: independence, US bias, survivorship).

The modern fixes: put a bottom under the descent§

Posterity repaired Guyton-Klinger in three ways, from the simple patch to the outright replacement.

The floor (the fix you cannot skip). It forbids the cuts to push income below a set percentage of the starting level. The current planning value is 75 to 80%, to be lined up with your real floor once you have established it (How much you need). The effect is clear: the descent is bounded, and the generation of lean years becomes, at worst, a few years down 20 to 25%. The price is honest and unavoidable. Bounding the descent recreates failure: if the floor itself is unsustainable in a given path, the portfolio runs out. The failure number then becomes a real number again, comparable with any other, and that is exactly as it should be.

Remember that the floor is not one more rule laid on top of the guardrails. It is a parameter of the rule itself. A complete guardrails spending policy is described by four numbers, not two: the initial rate, the width of the corridor, the size of the adjustment and the floor. A tool that does not expose the fourth is not simulating the rule you will actually run.

Bands and doses. The second family of settings: tighten or loosen the corridor (plus or minus 20% as standard) and the size of the adjustments (10% as standard). Narrower bands smooth the path, with adjustments that come more often and bite less. Smaller cuts (5%) repeated hurt less than 10% cuts spaced further apart. The research leans toward more frequent and gentler adjustments, which move the rule closer to continuous smoothing (The fixed percentage of the portfolio: indestructible but uncomfortable, the Yale rule).

What came next: risk-based guardrails. This is the conceptual replacement, from Kitces and Derek Tharp, then industrialized by Morningstar. Instead of watching the current withdrawal rate, a crude thermometer that ignores the remaining horizon and the pensions still to come, you watch the recomputed success probability of the plan, and you adjust when it leaves its corridor. Same architecture, far better indicator. A current rate of 6% at 80 with a pension running is nothing to worry about; the same rate at 52 is serious. The risk-based guardrail knows that, the 2006 one does not. It is the state of the art of the family, and it has its own article (Modern guardrails (Morningstar): the state of the art).

If you use it: the parameters worth defending§

Some long FIRE plans still pick the 2006 version, for a good reason. You can run it by hand, where a risk-based guardrail forces you to restart a simulator at every review (Modern guardrails (Morningstar): the state of the art). Here is the configuration the post-ERN literature supports:

The essentials§


Going further§