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2018issue C1024-27

Evaluating rank-rotation momentum across fund wrappers

Hold one monthly rank-rotation momentum-strategy fixed, score every rank-sleeve against a market baseline, and treat the fund-wrapper as a second experimental factor. A moving-average cash gate is then overlaid so vehicle choice can be separated from the signal in the evaluation.

  • Nine sector exchange-traded funds and nine sector mutual funds were run under the same monthly rank-rotation momentum-strategy so the fund-wrapper could be treated as a separate experimental factor.
  • Each rank-sleeve was scored on average annual return, the standard deviation of annual returns, and largest-annual-decline against a broad-market exchange-traded fund baseline.
  • The fourth-ranked sleeve was the strongest of the nine ranks in both wrappers in that historical comparison.
  • After the moving-average cash gate, the fourth-ranked mutual-fund sleeve still compared more favorably than the fourth-ranked exchange-traded-fund sleeve on those three measures.
Entries in this reading3 entries

A second experimental factor

Editorial framing. This article treats the fund-wrapper as a second experimental factor rather than as a detail of implementation. One monthly rank-rotation momentum-strategy is locked. Every rank-sleeve is scored against a market baseline. A moving-average cash gate is then overlaid so the evaluation can ask whether vehicle choice, not the signal, is changing the result.

One locked monthly procedure

A monthly sample from 2000 to 2017 compared nine sector exchange-traded funds with nine sector mutual funds under the same rank-rotation momentum-strategy.

Each month, sectors were ranked by that month's dividend-adjusted percentage price change. The following month's return of each rank from rank1 through rank9 was recorded.

Scoring every rank-sleeve

Each rank was judged by average annual return, the standard deviation of annual returns, and largest-annual-decline. A broad-market exchange-traded fund was used as the baseline.

In that historical comparison, the fourth-ranked sleeve was the strongest of the nine ranks for both the mutual-fund set and the exchange-traded-fund set.

Overlaying a moving-average cash gate

A moving-average filter with lookbacks from two to twelve months allowed the selected sector trade only when price was at or above the average and otherwise held cash.

For the fourth-ranked mutual-fund sleeve, an eight-month moving-average gate reduced annual-return volatility and the largest-annual-decline relative to the ungated version.

For the fourth-ranked exchange-traded-fund sleeve, a three-month moving-average gate produced the most favorable return-and-volatility pairing among the gated exchange-traded-fund ranks in that test.

What the wrapper still changed

Across lookbacks from two to twelve months, average annual returns of the gated fourth-ranked mutual-fund sleeve stayed inside a narrow band. The standard deviation of those lookback-level averages was 0.81%.

After the moving-average gate was applied, the fourth-ranked mutual-fund sleeve still compared more favorably than the fourth-ranked exchange-traded-fund sleeve on average annual return, volatility, and largest-annual-decline in that sample.

Editorial reading

Editorial reading. The archive does not claim that the fourth rank, the eight-month gate, or the three-month gate is a rule for later markets. The useful evaluation point is that a locked rank-rotation momentum-strategy can still change its evaluation picture when the fund-wrapper and the cash-gate lookback are allowed to vary.

Editorial reading. Keep the signal, the vehicle, and the gate as separate factors. Mixing them hides whether the fund-wrapper, not the ranking rule, is doing the work.

Rank-4 sector rotation annual returns by fund wrapper

The same monthly rank-4 sector rotation earned more in Fidelity Select funds than in SPDR sector ETFs in most calendar years, and both beat buy-and-hold SPY; an eight-month SMA cash gate cut the 2002 and 2008 mutual-fund losses. Yearly percentage returns are taken from the article’s Figure 2 table for 2000–2017.
The same monthly rank-4 sector rotation earned more in Fidelity Select funds than in SPDR sector ETFs in most calendar years, and both beat buy-and-hold SPY; an eight-month SMA cash gate cut the 2002 and 2008 mutual-fund losses. Yearly percentage returns are taken from the article’s Figure 2 table for 2000–2017.Fidelity Select sector funds vs SPDR sector ETFs vs SPY · Annual, 2000–2017 · 2000-01-01T00:00:00.000Z to 2017-12-31T00:00:00.000Z

Rank-4 holds the fourth-highest prior-month sector among nine sleeves. SMA8 (mutual fund) and SMA3 (ETF) are the lookbacks the author selected as best; cash is held when price is below the SMA.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
31 of 38 in the Rank rotation track
201926-29 pp.Next on Rank rotationEvaluating an annual equity-gold momentum rank rotationThe evaluated rule is one yearly procedure: a momentum-strategy and a two-asset rank-rotation that holds only the trailing leader for the next annual-hold.
All readings on this track · 38 readings
  1. 1987A mechanical rank-rotation sleeve for monthly fund leaders
  2. 1989Rank rotation in a five-name no-load sleeve
  3. 1990Cycle-tested five-year fund rank rotation
  4. 1991Blue-chip rank rotation by relative-strength-index slope
  5. 1992Currency rank rotation and intermarket timing
  6. 1992Rank rotation and relative strength for portfolio construction
  7. 1994MACD crossovers then short-horizon rank rotation
  8. 1994A comparable group-trend ledger from published ranks
  9. 1997Normalized yield rank rotation as a full portfolio procedure
  10. 1997Constructing an investor preference index from two capitalization-weighted series
  11. 1998Constructing anchored momentum from a centered average
  12. 2000Rank rotation, a stop-loss order, and Relative Strength Index in fund switching
  13. 2003A one-fund daily rank is a two-sleeve construction problem
  14. 2004Evaluate rank rotation only where persistence already exists
  15. 2004Sector fund rank rotation with regression and trailing stops
  16. 2006Evaluating equal-weight annual yield-rank rotation
  17. 2007Weekly preferred-symbol reselection for mechanical trend systems
  18. 2011Portfolio capacity and entry pacing for mechanical systems
  19. 2011Rank rotation as a testable ETF construction procedure
  20. 2011The inverse-Fisher stochastic is a forecast layer until the book rules can be disabled
  21. 2012An underwater stretch is a sizing test for rank rotation
  22. 2015Rule-based ETF rotation as one testable procedure
  23. 2015MACD crossover evaluation by trend rank rotation
  24. 2015Persistence and strength as one close-to-close switch
  25. 2015Evaluating rank rotation after a persistence screen
  26. 2016Evaluating an annual valuation rank rotation
  27. 2017A two-step yield and price rank rotation for a five-name sleeve
  28. 2018Smoothed volatility and the missing rank-rotation exit
  29. 2018A five-condition scorecard that ranks stocks and can refuse the trade
  30. 2018Small-cap growth sleeve eligibility with trend and rank rotation
  31. 2018Evaluating rank-rotation momentum across fund wrappers
  32. 2019Evaluating an annual equity-gold momentum rank rotation
  33. 2019Evaluating equity-gold momentum on funds versus indexes
  34. 2020How a signed comparative-strength oscillator is built for rank rotation
  35. 2020Which calendar clock changes a gold-versus-equity rotation test
  36. 2020Four-dimension relative strength as rank rotation
  37. 2020Portfolio construction as a ranked relative-strength problem
  38. 2020Two clocks for a Nasdaq put/call sleeve
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