Research note · Performance measurement

Relative-Wealth Martin: when more return does not mean better performance

RWM compares compound growth over cash with drawdown in that same advantage—a simple way to distinguish an efficient curve from one whose return was bought too dearly.

The decision

1 When does earning less mean performing better?

DBEU earned roughly 94% of SPY's CAGR with only 49% of its Ulcer Index. GDMN, by contrast, more than doubled SPY's CAGR but sustained over three times its deterioration. Which curve converted risk into return more efficiently?

CAGR automatically favours the highest return. RWM asks a different question: how much compound growth over cash did each curve produce per unit of drawdown in that same advantage?

94%of SPY CAGR earned by DBEU
49%of SPY UI sustained by DBEU
2.40DBEU RWM
1.30SPY RWM
The intuition: RWM does not penalise risk in principle. It penalises risk that was not sufficiently rewarded.

Definition

2 Three simple ideas, all calculated on one curve

Rt = Wcurve,t / Wcash,t  ·  RWM = CAGR(R) / UI(R)

1 · Relative wealth

Divide curve wealth by cash wealth. If one grows from 1 to 1.20 and cash from 1 to 1.10, relative wealth ends at 1.091: a cumulative 9.1% advantage.

2 · Relative CAGR

The annualised speed at which that advantage grew. Positive means beating cash; zero means matching it; negative means falling behind.

3 · Relative UI

The Ulcer Index summarises the depth and persistence of falls from prior highs in relative wealth. It is not general variability: it measures deterioration from the best level reached.

RWM divides relative growth speed by relative deterioration. An RWM of 1.30 does not mean a 130% return and is not a forecast: in the sample, relative CAGR was 1.30 times relative UI. For positive excess, a higher value means a more efficient combination.

RWM is a Martin variant calculated entirely on relative wealth. Its conceptual improvement is coherence: it does not compare a gain over cash with drawdown from a different curve, gross capital.

Edge case: when UI(R)=0, RWM is N/A. Near zero, a tiny excess can create an unstable score; require a minimum economically meaningful advantage before ranking.

The key idea

3 Measure the advantage, not only the capital

An investment can rise and still lose ground to cash. RWM therefore does not calculate drawdown on standalone capital: it first builds relative wealth.

Relative wealth = curve wealth / cash wealth

When the curve rises

It is widening its edge over cash. Relative CAGR is positive when it ends the period ahead.

When the curve falls

It is giving back part of a previous advantage. Relative UI measures the depth and persistence of that deterioration.

Growth and drawdown now describe the same economic experience. That coherence—not the formula's complexity—is RWM's contribution.

The extreme case

4 The 691 ratio that did not signal an extraordinary opportunity

SGOV barely experienced nominal declines. Its raw Ulcer Index was almost zero, so Martin divided a small difference versus cash by a microscopic denominator. Result: 691.6.

The number looks extraordinary, but it does not describe an extraordinary economic edge. It describes a nominal curve that almost never fell.

Conventional Martin

The numerator asks how much SGOV earned over cash. The denominator measures how far nominal capital fell from its highs. It compares two different experiences.

RWM

It calculates growth and drawdown on SGOV/cash. In this sample, SGOV did not beat the reference and its RWM was −0.27.

Cash bug comparison

The scale accommodates Martin's extreme value. The important point is not merely that the number falls: measuring the actual edge over cash changes its interpretation.

Near cash: when relative wealth is almost flat, its UI can also approach zero. Exact cash is N/A, and advantages below costs and estimation error should not be ranked.

The evidence

5 What changes across 1,967 ETFs

Every curve was measured from 2022-03-01 to 2026-08-27. Identical dates prevent the quality of a curve from being confused with the market regime it happened to experience.

SGOV · The false giant

An almost zero nominal drawdown inflates Martin even when there is no edge over cash. RWM restores the economic meaning.

DBEU · Less, but better

It earned 94% of SPY's CAGR with roughly half its raw UI. RWM: 2.40 versus 1.30.

GDMN · More, too expensive

It more than doubled SPY's CAGR but sustained over three times its UI. RWM: 1.18, below SPY.

The counterexample: SMH also sustained a high UI but earned enough excess for RWM to reward it. The measure does not systematically favour defensive curves; it requires risk to be paid.
Relative CAGR versus relative UI

Each dot is one curve. Higher means more growth over cash; farther left means less relative deterioration. Rays from the origin join curves with equal RWM: a steeper slope represents a more efficient combination.

Appendix · View the top 15 curves with an annual edge above 1%

The 1% threshold is an illustrative convention, not a universal rule. In practice it should reflect costs, tracking, tax, and estimation uncertainty.

TickerProductRelative CAGRRelative UIRWMDaily ES95
OPPJWisdomTree Japan Opportunities Fund23.52%3.63%6.48−2.57%
DXJWisdomTree Japan Hedged Equity Fund25.55%5.08%5.03−2.75%
LVHIFranklin International Low Volatility High Dividend Index ETF13.70%2.91%4.71−1.60%
DBJPXtrackers MSCI Japan Hedged Equity ETF21.00%5.51%3.81−2.82%
HEWJiShares Currency Hedged MSCI Japan ETF21.00%5.52%3.80−2.80%
FLJHFranklin FTSE Japan Hedged ETF19.71%5.34%3.69−2.73%
HEFAiShares Currency Hedged MSCI EAFE ETF12.43%3.62%3.43−2.00%
GREKGlobal X MSCI Greece ETF29.40%8.62%3.41−3.42%
DBEFXtrackers MSCI EAFE Hedged Equity ETF11.95%3.62%3.30−2.00%
EWPiShares MSCI Spain ETF21.81%6.73%3.24−2.81%
EUFNiShares MSCI Europe Financials ETF22.23%7.44%2.99−2.95%
AMUBUBS ETRACS Alerian MLP Index ETN Series B16.70%5.75%2.90−2.75%
MLPBUBS ETRACS Alerian MLP Infrastructure Index ETN Series B16.21%5.66%2.86−2.71%
ATMPBarclays ETN+ Select MLP ETN18.93%6.75%2.80−3.20%
FFLCFidelity Fundamental Large Cap Core ETF13.95%5.07%2.75−2.41%

Versus other ratios

6 When Sharpe, Sortino, and Calmar tell a different story

GDMN looks slightly better than SPY on Sharpe (0.82 versus 0.68), Sortino (1.16 versus 0.98), and Calmar (0.71 versus 0.70). RWM reverses the order: 1.18 versus 1.30. The disagreement is not an error; each ratio answers a different question.

Sharpe and Sortino

They relate excess return to return dispersion. They are useful when volatility is the chosen definition of risk.

Calmar

It divides CAGR by one maximum drawdown. It captures the worst episode, but not how long or often drawdowns persisted.

Conventional Martin

It uses Ulcer Index but can mix excess over cash in the numerator with nominal drawdown in the denominator.

SPY, DBEU, and GDMN examples

DBEU shows that accepting slightly less CAGR can greatly improve efficiency. GDMN shows that a large return may have been bought too dearly.

CaseETFCAGRRaw UISharpeSortinoCalmarMartinRWM
SPY · referenceSPY15.4%7.4%0.680.980.701.451.30
≈94% of SPY CAGR, ≈49% of its UIDBEU14.5%3.6%0.731.060.952.742.40
>2× SPY CAGR, >3× its UIGDMN37.7%25.6%0.821.160.711.261.18
Relative wealth curves

RWM scores these curves versus cash. An asset can rise nominally while losing relative ground.

A useful ranking property

If B has more relative CAGR and less relative UI than A, RWM will always rank B higher. The table contains cases where a conventional ratio prefers A even though B is better on both dimensions RWM measures.

Conventional ratioPrefers ARatio ARel. CAGR ARel. UI ARWM AB dominatesRatio BRel. CAGR BRel. UI BRWM B
SharpeFLRT1.002.4%2.2%1.10IGHG0.572.8%1.9%1.49
SortinoCRAK1.2917.8%14.8%1.20ATMP1.2718.9%6.8%2.80
CalmarMSMR1.276.7%4.4%1.53DBEF1.1412.0%3.6%3.30
Martin · exceso/UI brutoSDCI1.7413.0%9.6%1.35USXF1.7013.4%8.6%1.56
Martin to RWM percentile changes

The diagonal means identical order. Moving away from it identifies curves whose interpretation changes when both growth and drawdown are measured versus cash.

Persistence

7 RWM showed the strongest persistence under its own criterion

We calculated Sharpe, Sortino, Calmar, Martin, and RWM over three five-year periods, then evaluated each ranking over the following five years. The samples contained 519, 755, and 1,023 ETFs. Future data judged the rankings; they never built them.

Out-of-sample validation

RWM had the highest mean relationship with subsequent RWM: 0.433 versus 0.412 for Martin, 0.407 for Sharpe, 0.402 for Sortino, and 0.356 for Calmar. RWM's top decile also achieved the highest median future RWM: 0.96.

MetricFuture SpearmanFuture RWM · top decileTop-quintile hit rateFuture relative CAGRFuture relative UI
Sharpe0.4070.7640.5%5.9%10.6%
Sortino0.4020.7640.9%6.3%10.5%
Calmar0.3560.8043.7%6.7%9.8%
Martin · excess/raw UI0.4120.9049.0%7.3%9.6%
RWM0.4330.9650.3%8.4%9.7%
What this shows: persistence under the RWM criterion, not universal superiority or return prediction. The edge over Martin was moderate, and every ratio lost almost all ranking power in 2021–2026.

Show stability rather than hiding it in another number

Rolling 756-session windows reveal dependence on the entry date. Because they overlap, they are not independent tests and should not be compressed into another score.

Rolling RWM

SPY and four examples show how RWM changes with the period analysed.

How a minimum edge over cash changes the ranking
Minimum-edge sensitivity

The minimum edge changes which curves enter the comparison. It is a practical rule—dependent on costs and uncertainty—not part of the formula.

Practical use

8 How to use RWM in a real comparison

Prepare and rank

  1. Compare equivalent histories: same currency, frequency, start date, and end date; known costs included and one cash reference.
  2. Always show three figures: RWM, relative CAGR, and relative UI. This reveals where the score comes from.
  3. Require a material edge: if growth over cash does not cover costs and estimation error, there is not enough evidence to rank.

Interpret before allocating

  1. Do not automate the conclusion: higher RWM describes greater sample efficiency, not higher future return.
  2. Treat close values as equivalent: if a small date change reverses the order, there is no robust winner.
  3. Review unseen risk: options, leverage, concentration, capacity, liquidity, execution, and tail losses require separate analysis.
Simple rule: RWM helps rank. Capital allocation starts afterwards, when costs, liquidity, transparency, and risks not yet visible in the historical curve are incorporated.

Conclusion

9 Not the holy grail. A clear answer to a useful question.

RWM shows which curve converted its edge over cash into compound growth with less deterioration in that same advantage.

What it contributes

  • Stops a near-cash curve from looking exceptional because nominal drawdown is almost zero.
  • Resolves comparisons such as DBEU versus SPY or GDMN versus SPY transparently.
  • Keeps both pieces of the result visible: relative CAGR and relative UI.

What it cannot do

  • Predict which curve will earn more next year.
  • Discover risks that have not yet materialised.
  • Replace Sharpe, Sortino, or Calmar when the question is different.
Qinvia conclusion: RWM deserves to be a primary measure when the question is how efficiently a curve performed versus cash. It should always be shown beside relative CAGR and UI and never turned, by itself, into a capital-allocation model. Its value is not answering everything, but clearly answering a question conventional ratios mix.
Methodology, cash, and sources

USD cash uses FRED's daily Effective Federal Funds Rate (DFF), accrued over calendar days without a spread on an Actual/360 basis. Cash accrues over weekends and holidays, then aligns to each curve's dates. Both wealth indices start at 1 on the same date.

The public implementation fixes USD cash. Direct comparison with a risky benchmark such as SPY mixes skill and beta; that extension requires neutralising market exposure first.

Historical Ulcer Index and UPI definition: Peter G. Martin. Standard Martin convention: PerformanceAnalytics. Example prices: Yahoo Adj Close from the local Qinvia cache. Daily data; 365.2425-day years; distributions included to the extent reflected by Adj Close.

Martin (1987), The Investor's Guide to Fidelity Funds · PerformanceAnalytics manual · FRED DFF

Generated 2026-08-30 10:53 UTC. 0 cases with numerically zero relative UI are marked N/A. Code and derived data are prepared for a public repository; raw Yahoo prices are not redistributed.

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Methodology, implementation and reproducible materials.

The public repository preserves the implementation, tests, derived data and bilingual reports. This web publication retains the complete formulas, figures, tables, results, limitations and conclusion.

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