What is Value Averaging in plain English?

Edleson's 1988 Value Averaging targets a portfolio VALUE path instead of a fixed contribution. Each month you buy or sell just enough shares to land on a pre-set value curve V_t = $C × t × (1+R)^t. In a falling market you buy more (because the curve is rising); in a rising market you may sell. DCA, by contrast, contributes the same dollar amount monthly regardless of market level.

Does VA actually beat DCA?

It depends on the path. Across our six historical windows, VA wins terminal value in 2 of 6 (the volatile / sideways ones — Lost Decade and dotcom crash). DCA wins in 4 of 6 (the bull markets). VA's annualized IRR is consistently higher than DCA's by 0.5-2 percentage points, because VA's sell-into-strength generates earlier cash flows. The headline comparison depends on whether you care about terminal value or return on deployed capital.

What is VA's peak monthly buy and why does it matter?

The single biggest deposit VA demands across the simulation. In the Lost Decade scenario, VA required $75,498 in one month to bring the portfolio back to its target curve after a sharp drawdown. If you don't have that cash sitting in reserve, you can't execute the strategy. Reserve cash earns ~0% real, which drags down VA's all-in return. Most academic VA analyses skip this entirely. Our simulator surfaces it directly.

When should I actually use VA?

If you have substantial reserve cash you'd otherwise leave in money market, and you've stress-tested whether you can execute a $50K+ single-month deployment in a panic environment, VA can deliver a meaningfully better terminal in flat-to-volatile markets. If your liquidity is tight or you can't trust yourself to deploy reserve cash during a 30% drawdown, default to DCA. The strategy you can execute beats the one you can't.

What's the difference between VA and 'buy the dip'?

VA is a parametric, mechanical version of buy-the-dip with explicit sell rules. The target curve mathematically forces you to deploy more capital after drops and trim after gains. It removes the discretion (and emotional reluctance) of unscripted dip-buying. The cost is rigidity — the curve doesn't know about valuation context, so VA can mechanically buy into a fundamentally deteriorating asset.

Value Averaging Won the Lost Decade by $264K. It Quietly Demanded a $75K Single Month to Deliver.

We hardcoded six well-documented historical market windows into the simulator: S&P 500 Lost Decade (2000-2009), Post-GFC Bull (2010-2019), COVID + Recovery (2020-2024), Late-90s Tech Bull (1995-1999), NASDAQ Dotcom Crash, and NASDAQ Tech Renaissance. Yearly total returns are real (Shiller dataset for S&P 500, Invesco/NDX data for NASDAQ-100). Then we ran Value Averaging and DCA on each, both calibrated to the same $1M target at 7% expected return.

The results say a lot more than the standard “VA wins in volatile markets” textbook line.

The six historical windows, head to head

VA terminal is essentially fixed — the strategy is mathematically calibrated to land on the target. So the interesting numbers are DCA terminal (where it ends up if it just holds the schedule), peak monthly buy (VA’s worst single month), and IRR (return on the capital each strategy actually deployed).

Window	Annualized	DCA terminal	VA−DCA terminal	VA peak month	VA IRR	DCA IRR
S&P 500 — Lost Decade (2000-09)	−0.95%/yr	$735,387	+$264,613	$75,498	1.97%	1.18%
S&P 500 — Post-GFC Bull (2010-19)	13.57%/yr	$1,422,893	−$422,893	$42,960	14.51%	13.98%
S&P 500 — COVID + Recovery (2020-24)	14.53%/yr	$1,215,994	−$215,994	$60,328	16.16%	15.35%
S&P 500 — Late-90s Tech Bull (1995-99)	28.57%/yr	$1,596,869	−$596,869	$40,759	27.54%	26.93%
NASDAQ-100 — Dotcom Crash (2000-09)	−6.54%/yr	$817,725	+$182,275	$99,885	5.55%	3.29%
NASDAQ-100 — Tech Renaissance (2010-19)	17.73%/yr	$1,823,225	−$823,225	$56,492	19.83%	18.65%

Two things jump out immediately, neither of which the standard write-up surfaces.

VA always hits the target. The cost is what changes.

VA’s terminal is locked at $1M in every row. That’s not a coincidence — it’s how the strategy is defined. The target curve V_t = $C × t × (1+R)^t equals exactly M at month T, and VA buys or sells each month to keep the portfolio on that curve. The mechanical force is the strategy.

DCA has no such force. It contributes a fixed dollar amount each month regardless of where the portfolio is. In a flat decade DCA underperforms its target; in a strong bull it overshoots wildly. Look at the gap:

Lost Decade: DCA reaches $735K against a $1M target — a $264K shortfall after 10 years of disciplined contributions.
Late-90s tech bull: DCA reaches $1.6M against a $1M target — a $597K overshoot.

That’s the headline tradeoff. VA gives you certainty (you hit M). DCA gives you path-dependence (you might fall short or overshoot, depending on what the market did).

The Lost Decade story: VA’s flagship win

We ran 2000-2009 — the actual decade where the S&P 500 returned −0.95% annualized including dividends. DCA’s $735K vs VA’s $1M is the textbook win for VA in volatile/flat markets.

But look at what VA had to do to get there. To deliver the $1M target, VA invested $1.4M cumulatively (vs DCA’s roughly $700K), then sold off $480K along the way as the portfolio momentarily exceeded the target curve. Net cash deployed by VA: about $920K, vs DCA’s $700K. VA put in 30% more capital to deliver 36% more terminal value.

The single worst month required $75,498. That’s the deposit VA demanded the month after a particularly sharp drawdown. If you didn’t have $75K sitting in cash, ready to deploy, in a month when everyone was panicking — you couldn’t have executed.

That’s the cost most VA cheerleaders skip.

The Post-GFC Bull story: VA’s flagship loss

Same $1M target. Same 7% expected return assumption. But this time the realized path was 2010-2019 — a 13.6% annualized bull.

VA’s mechanical sells turned the strategy from a winner into a self-handicap. As the portfolio rose past the target curve, VA was forced to sell. Total VA sells: $464K over the decade. Each sell was a position that DCA simply held — and that DCA position kept compounding.

DCA finished at $1.42M, which is $423K more than VA’s mechanical $1M target. DCA didn’t beat VA because of skill; it beat VA because VA was contractually obligated to take chips off a winning table.

The honest correction: in a strong bull, VA’s discipline is the mistake. The strategy is designed to dampen volatility and force counter-cyclical buying. In a market that goes essentially straight up, dampening is harmful.

The IRR twist: VA wins on capital efficiency even when it loses on terminal

Look at the last two columns. VA’s annualized IRR is higher than DCA’s in every single scenario — by roughly 0.5 to 2.5 percentage points.

Why? IRR weights cash flows by timing. VA’s “sell into strength” produces early positive cash flows that pull IRR up. DCA’s no-sell discipline means money sits in the portfolio earning the realized rate, no early returns.

What this means: on a return-on-deployed-capital basis, VA is more efficient even when it underperforms on terminal value. The reason VA’s terminal lags in bull markets isn’t that it earns a worse return on the money it deploys — it’s that it deploys less money overall (because it keeps selling).

If your decision is “given a fixed pool of capital, which strategy generates the highest return per dollar deployed”, VA wins. If your decision is “I’m going to put fixed monthly contributions in regardless and want to maximize end value”, DCA wins in bull markets.

This distinction matters and almost never appears in popular VA write-ups.

The peak monthly buy is the real risk

Across the six windows, VA’s peak monthly buy ranged from $40,759 (calmest scenario, late-90s bull) to $99,885 (most volatile, NASDAQ dotcom crash).

That’s a 2.4× spread depending on regime. If you’re sizing VA against a $1M target, you need to maintain reserve cash equal to roughly 5-10% of the target — at all times — to absorb the bad months without forced sales of other assets.

That reserve cash earns ~0% real. On a 10-year horizon with $75K idle, that’s roughly $40K of forgone compounding. The “true” VA edge over DCA in the Lost Decade isn’t $264K — it’s $264K minus the all-in cost of holding emergency cash for a decade.

We’ll let you compute the corrected figure for your specific situation. The simulator surfaces the peak buy directly so you can size the reserve honestly.

Where this framework breaks

Tax drag isn’t modeled. Every VA sell-into-strength month generates a capital gains event. In a taxable account, that gap can erase the on-paper VA edge entirely. The simulation runs as if returns are tax-free.
Calibrated to expected R. If your assumed annual return is far from realized — say you assume 7% and the next decade delivers 3% — VA’s target curve becomes wrong, and the comparison shifts. Treat results as conditional on R, not absolute truth.
Mechanical buying ignores fundamentals. VA will deploy capital aggressively into a falling asset regardless of why it’s falling. If the underlying business is impaired (think single-stock VA), the strategy can be a disaster. We assume diversified index investing.
Yearly returns are real, monthly distribution is synthesized. Each year’s compound exactly matches documented annual data, but intra-year monthly path is shaped with deterministic sin/cos variance. Real history had specific months that were worse or better than our synthesis. Headline numbers (annualized return, terminal) are accurate to the year; monthly extremes (specifically peak buy) are approximate within ±20% depending on actual intra-year volatility.

What to actually do

Run the simulator on the historical window closest to what you actually fear. If you fear a flat or sideways decade, run the Lost Decade. If you’re worried about sharp crashes, run the dotcom regime.
Look at VA’s peak monthly buy. Multiply by 1.5 (margin of safety). Ask: do you have that cash sitting accessible, ready to deploy, during a panic environment?
If yes: VA is executable. Compare the IRR (not just terminal) vs DCA — VA’s IRR edge is the real measure of VA’s efficiency.
If no: default to DCA. Discipline you can execute beats theory you can’t.
If you’re somewhere in between, consider a hybrid: DCA on monthly base contributions, VA-style top-ups deployed from reserve when the market drops 15%+. Captures most of VA’s counter-cyclical advantage without the rigid monthly buy obligation.

The honest version of the choice isn’t “VA vs DCA” — it’s “do I have a reliable reserve cash discipline that’s been stress-tested in past drawdowns?” If the answer is yes, VA’s discipline pays. If the answer is hopeful, DCA’s path-dependence is the safer error.

Open the Value Averaging vs DCA Simulator → and run the six historical windows yourself. The year-by-year card under each scenario shows the source data — you can verify the numbers against any public dataset before committing to a strategy.

Related: Lump sum vs DCA on $50K windfalls covers the windfall-deployment question, which is the one-time cousin of the VA-vs-DCA recurring question. Different decision, related framework.