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1996issue C101-5

Regime-aware allocation beyond a single equity trend

A long equity advance can be housed in a multi-asset mix so a later regime change is handled as Asset allocation and Diversification. A Japanese peak-to-trough analog, a long US advance sample, and a Sharpe ratio style mix check show the construction frame.

  • Editorial: a long equity run can be placed inside a multi-asset mix so a later regime change is treated as Asset allocation and Diversification, not as a forecast of the next path.
  • A historical Japanese equity peak-to-trough path was used as a regime analog, with a staged drop, rebound, and further decline that reached a 63.6 percent total decline by August 1992.
  • Asset-class mix was treated as the dominant construction lever, and a noncorrelated commodity or managed-futures sleeve was proposed to cushion equity and bond declines without relying only on puts or short stock hedges.
  • A backtested mix of 52.01 percent S&P 500, 30.34 percent Lehman Bond Index, and 17.65 percent CTA management produced a return-to-standard-deviation ratio of 2.70 over the compared period.
Entries in this reading3 entries

A construction problem, not a forecast problem

Editorial: a single long equity run can be placed inside a multi-asset mix so a later market-regime change is handled as a construction task. Asset allocation and Diversification then set the sleeve weights. The analog describes what a decline might look like. It is not used to call the next tick.

Editorial: the working unit is the mix. A later selloff is treated as a change in regime that the mix has to absorb, rather than as a signal that must be timed in isolation.

A Japanese peak-to-trough analog

A historical Japanese equity peak-to-trough path was used as a regime analog for what a later US equity decline might look like after a long advance.

The analog sequence included a first-stage drop near 30 percent in four months, then a 22 percent rebound, then a further 40 percent decline. The path produced about a 49.2 percent loss in ten months and a 63.6 percent total decline by August 1992.

Nikkei monthly path into the 1990 break

The Japanese analog for a long equity run that then changes regime: after the 1987 crash the index stair-stepped into 38951 in January 1990, lost 30 percent to 27251 in four months, rebounded to 33228, then fell to 19781 by October 1990 — a 49.2 percent decline in 10 months. Those four turning-point prints are from the article; the 1987–89 advance and the intervening 1990 bars are read from the monthly CQG window.
The Japanese analog for a long equity run that then changes regime: after the 1987 crash the index stair-stepped into 38951 in January 1990, lost 30 percent to 27251 in four months, rebounded to 33228, then fell to 19781 by October 1990 — a 49.2 percent decline in 10 months. Those four turning-point prints are from the article; the 1987–89 advance and the intervening 1990 bars are read from the monthly CQG window.Nikkei Index · Monthly · 1987-10-01T00:00:00.000Z to 1990-10-31T00:00:00.000Z

Linear monthly bars. Digitized levels are rounded to 500 index points. January 1990 (38951), the four-month low (27251), the one-month 22 percent rebound (33228), and October 1990 (19781) are the article’s stated prints, not visual estimates.

Where the then-current advance sat

A US intermediate-advance sample since 1896 counted nine rallies greater than 50 percent. The then-current advance was ranked seventh largest and fourth longest.

Unlike the other 50 percent advances in that sample, which began within 15 months of a major bottom, the then-current rally started on November 23, 1994, more than four years into the cycle.

A correction was defined as a selloff of one-third to two-thirds of the prior advance lasting weeks to months, with a first-leg estimate near an 18 to 20 percent decline in about 30 days.

Asset allocation as the main lever

Asset-class mix was treated as the dominant construction lever, with a cited study attributing 91.5 percent of portfolio profit to the chosen asset class rather than security selection inside the class.

A noncorrelated commodity or managed-futures sleeve was proposed as a way to cushion equity and bond declines without relying only on puts or short stock hedges.

Managed futures run by commodity trading advisors were judged, on the author's commodity-investing research, to outperform a long commodity index or a selected basket of commodities across both up and down periods.

A Sharpe ratio check on the mix

A backtested mix of 52.01 percent S&P 500, 30.34 percent Lehman Bond Index, and 17.65 percent CTA management produced a return-to-standard-deviation ratio of 2.70 over the compared period.

Editorial: that return-to-standard-deviation comparison is the Sharpe ratio style check on the mix. It compares an explicit quantitative baseline for the diversified sleeves, not a forecast of a single equity trend.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
6 of 12 in the Sharpe ratio track
19971-3 pp.Next on Sharpe ratioEvaluating managed futures as portfolio diversifiersCombining asset groups that move independently, including those with low or inverse association to equities, can make portfolio construction more efficient than concentrating in a single market.
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
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