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1995issue C031-5

Intermediate-term allocation with drawdown filters

A working allocation design sits between a nearly static mix and daily all-or-none switches. Candidate funds are ranked by risk-adjusted return after a comfort-level drawdown bound drops any name the account owner cannot live with, and the procedure is judged over a full market cycle rather than last year's winner.

  • A working allocation design may be fully invested, fully defensive, or anywhere between, and is meant to catch major uptrends and avoid major downtrends on an intermediate-term horizon.
  • Rank-rotation scores the names that survive a drawdown-limit: any fund whose historical peak-to-trough loss exceeds the loss the account owner can live with is dropped before capital is committed.
  • Absolute return is an incomplete score, so a Sharpe-style reading is used, and evaluation is not complete until a market cycle of four or five years or more has elapsed.
  • The model is designed not to generate more than three or four round trips a year at the maximum, because higher signal frequency increases costly whipsaws.
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A mix that can sit anywhere

A working allocation design sits between a nearly static mix and daily all-or-none switches. It may be fully invested, fully defensive, or anywhere between. The intended job is tactical asset allocation on an intermediate-term horizon: catch major uptrends and avoid major downtrends, and change the mix only when an intermediate market swing is identified.

The rotation cadence is bounded. The model is designed not to generate more than three or four round trips a year at the maximum, and typical years produce fewer, because higher signal frequency increases costly whipsaws. Average time in or out of a position is described as six months to a year, not daily or multi-day flips, so entry, exit, and abstention can be tested as one intermediate-term procedure.

Rank what remains after the loss bound

Rank-rotation is a procedure that orders candidate funds or exposures by a risk-adjusted score and then rotates allocation toward those that pass the filter, instead of picking names from last period's league table.

Candidate funds are ranked by risk-adjusted return after a program drops any name whose historical drawdown exceeds the maximum loss the account owner has said they can stomach. The drawdown-limit is a pre-trade and in-position bound that excludes any candidate whose historical peak-to-trough loss exceeds the loss the account owner has said they can live with.

A 10 percent historical hit is used as an example of a comfort bound. A fund that looks like a home-run candidate is still excluded if the owner has only been able to live with that smaller loss.

Judge the procedure over a market cycle

Absolute return is treated as an incomplete score. A result that looks decent in raw units can fail once the risk taken to earn it is included, so comparison needs a risk-adjusted baseline such as a Sharpe-style reading. The Sharpe ratio asks whether an absolute return is still attractive after the path of losses required to earn it.

Evaluation is not complete until at least one full market cycle has elapsed, described as four or five years or more, rather than a single rating-year sample. A market cycle is a multi-year stretch long enough to include both an advance and a decline.

Chasing last year's winner is rejected as a ranking rule because last year's winner is seldom next year's winner. The intended output is a durable procedure, not a one-year league-table rotation.

Allocate to the market first

The intermediate-term model is not purely technical. It uses three indicator categories, including a lower-weighted fundamental set that would have little value in a short-term system.

Market direction is treated as the dominant driver of individual stock moves, with an estimated 60 to 70 percent of up or down action attributed to the overall market rather than company-specific prospects. That is why allocation to the market itself is the primary construction decision.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
4 of 12 in the Sharpe ratio track
19961-4 pp.Next on Sharpe ratioEvaluating a multi-market book without picking winnersTwo equal-weight holdings with the same average return, the same standalone volatility and zero return correlation keep that average return while producing a lower combined volatility than either holding alone.
All readings on this track · 12 readings
  1. 1986Auditing stochastic crossovers with moving-average baselines
  2. 1994Evaluating system changes with chi-square, Sharpe, and leverage
  3. 1995Evaluating mechanical switch rules with a stop-loss order and Sharpe ratio
  4. 1995Intermediate-term allocation with drawdown filters
  5. 1996Evaluating a multi-market book without picking winners
  6. 1996Regime-aware allocation beyond a single equity trend
  7. 1997Evaluating managed futures as portfolio diversifiers
  8. 2008Audit an out-of-the-money covered-call overlay against a Sharpe control
  9. 2013Constructing the Sharpe ratio as return over variability
  10. 2014Expected value and bet size are separate controls
  11. 2015Constructing a Sharpe-style score from profit and loss variability
  12. 2019Continuous futures series and long-horizon allocation evaluation
All 14 readings tagged Sharpe ratio
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