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1994issue C121-13

Relative valuation as regime context for fund allocation

The archive workflow ranks a liquid pool of stocks, bonds, cash, and precious metals versus Treasury bills, then changes a mutual-fund sleeve when the historical rank and the six-week to six-month window change.

  • A liquid universe can be treated as a relatively fixed pool, so ranked ties among stocks, bonds, cash, and precious metals map rotation rather than capital leaving the market.
  • Cash, especially Treasury bills, is the reference hurdle other sleeves must be likely to beat before they earn a full allocation.
  • Attractiveness is a historical percentile over about 1,400 weeks, read on about a six-week swing window and about a six-month core window together.
  • Historical tests favored February, May, August, and November resets; calendar-quarter ends were the weakest dates and often lined up with stock-market turning points.
Entries in this reading3 entries

A single sleeve versus cash

A liquid investment universe can be treated as a relatively fixed pool. Ranked relationships among stocks, bonds, cash, and precious metals then describe how capital rotates rather than how it leaves the market. That map is the flow-of-funds-rotation: money leaving one sleeve and entering another.

Cash-as-reference uses cash, especially Treasury bills, as the hurdle because it is liquid, relatively low-risk, and carries a positive nominal return that other markets must be likely to beat. Intermarket-relative-valuation compares those liquid classes to one another and to cash so capital can be shifted toward the cheaper sleeve.

Mutual-fund sleeves let an allocator change an asset weight in one transaction, including a move from about 60 percent to about 47 percent of one sleeve, instead of rebalancing dozens of individual holdings.

Rank, not raw price, defines the regime

The percent-consideration-index is a relative attractiveness score that maps a market’s standing versus cash and other liquid assets onto a probability-style rank. Cross-market relationships are scored on a historical percentile basis over a database of about 1,400 weeks, so the current rank, not just a raw price comparison, defines the regime.

On the attractiveness scale, a reading of 50 is described as a fair market with about a 50 percent chance of beating cash. Readings of 20 or less flag a zone for minimal exposure. Late-1994 bond readings in the 90s were contrasted with large-cap stock readings under 30.

Fund sleeves and multi-year rotation

The monitored universe is split into distinct sleeves: US large-cap, US small-cap, and international large-cap equities; government, corporate, and municipal bonds; and separate South African versus non-South African gold shares. Emerging markets are omitted for lack of history.

Sleeves that usually move together can still rotate for years. In 1976 to 1979, large-caps were flat to down about 10 percent while small-caps rose about 80 percent.

Two horizons and a seasonal reset

Two horizons are used together: about six weeks to read short-term swings and about six months as the core investment window. The longer span was chosen empirically by scanning many weekly lengths.

Time-adjusted-valuation lets markets absorb a rate or price shock over weeks to months instead of instantly rewriting a fair-value level. Unlike models that instantly cut equity value after a 2 percent rise in short-term rates, this fundamental overlay lets markets neutralize over- or undervaluation as rates stabilize over a longer span.

Historical tests favored resetting portfolios at the ends of February, May, August, and November. Calendar-quarter ends were the weakest rebalance dates, coinciding with many stock-market turning points. That seasonal schedule is the calendar-rebalance-window.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
6 of 21 in the Fundamental overlay track
19951-5 pp.Next on Fundamental overlayA flattening trendline as a critique of the fundamental overlayLong-term advances and declines are treated as products of economic fundamentals, and both forecast-based and price-based analysts try to identify the next direction those fundamentals will push price.
All readings on this track · 21 readings
  1. 1991Growth earnings and price-to-earnings as a market-regime overlay
  2. 1991Earnings-price reliability as a first gate for growth-sleeve construction
  3. 1991Growth-adjusted earnings years as construction filters
  4. 1992Constructing an index nominal from smoothed earnings and effective rates
  5. 1992Real bond yields as a deficit-share regime
  6. 1994Relative valuation as regime context for fund allocation
  7. 1995A flattening trendline as a critique of the fundamental overlay
  8. 1998An earnings-to-price mapping is unfinished until add, reduce, and stand-aside are rules
  9. 1999Regime-aware stock exposure when rates and market condition agree
  10. 2002Short-rate velocity regimes before tightening
  11. 2003A pre-trade checklist that requires rule and fundamental agreement
  12. 2004Evaluating P/E overlays with matched crossovers
  13. 2004Constructing a stock-versus-bond regime from earnings yields
  14. 2012Cash-rich relative strength as a pre-trade portfolio filter
  15. 2012Inactivity as a feature: a small-cap earnings overlay with a monthly average and weekly MACD
  16. 2015Evaluating a capitalization-to-output-ratio as a regime overlay
  17. 2016Risk-adjusted earnings yield as a portfolio overlay
  18. 2017Oil, yields, and implied volatility as a regime critique
  19. 2017When a one-year bull sits inside a secular bear
  20. 2018A critique of rules-only trading systems
  21. 2019When seasonal and policy regimes override crowd mood
All 33 readings tagged Fundamental overlay
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