1998issue C041-6
An offense-defense matrix for regime-aware stock selection
Split a chosen benchmark into rising periods and flat-to-falling periods, then compare a target's cumulative return in each subset with the matching benchmark subset. The two scores place a holding in a quadrant, trace whether relative strength is changing, and show who beat or lagged the combined result on the benchmark equivalence line.
- A two-axis offense-defense score compares a target with the same benchmark in rising periods and in flat-to-falling periods.
- An offensive score above 100 means the target outpaced the benchmark when the market rose; a defensive score below 100 means it lost less when the market declined.
- Four quadrants and the benchmark equivalence line separate names that beat the combined result from those that lagged it, including names that were not in the extreme corners.
- Linking successive points shows whether relative strength versus the benchmark is improving, static, or deteriorating on both axes at once.
Two scores from one benchmark split
A two-axis offense-defense score is built by splitting a chosen benchmark into rising periods and flat-to-falling periods, then comparing a target's cumulative return in each subset to the matching benchmark subset.
An offensive score above 100 means the target outpaced the benchmark during rising periods. A defensive score below 100 means the target lost less than the benchmark during declining periods.
Four quadrants on the map
Plotting offense on the vertical axis and defense on the horizontal axis places a target in one of four quadrants. A reading near 95 offense and 105 defense marks underperformance on both sides of the regime split.
Paths and the benchmark equivalence line
Linking successive offense-defense points shows whether relative strength is improving, static, or deteriorating versus the benchmark on both axes at once.
The benchmark equivalence line (BEL) is the set of offense-defense pairs whose combined result matches the benchmark. Locations above the line beat that combined result and locations below it lag it.
How the ranking behaved in two samples
In a 1982-96 test, a northwest-quadrant stock portfolio compounded at 25.9% annualized versus 15.7% for the average stock and 6.3% for the southeast quadrant.
The same ranking applied to 1963-82 data, a span that included three major bear markets and the same 97 stocks, still put northwest-quadrant names first at 15.3% annualized versus 9.8% for the average and 7.7% for the southeast quadrant.
Stocks above the BEL outpaced those below it in the 1982-96 sample, at 19.5% versus 11.7% annualized, so the combined offense-defense filter ranked names even when they were not in the extreme quadrants.
Editorial reading of rotation, hedging, and bounds
Editorial: TradersWeek would next use the map with three bounded tools rather than as a standalone forecast. Rank rotation can turn quadrant location, BEL side, and the path of successive points into one testable entry, exit, and abstention procedure. Beta hedging can put a single holding into a diversified or regime-aware context when its rising-market job and its falling-market job disagree. A Risk-reward ratio can still keep a loss or exposure decision bounded before a trade is placed.
All readings on this track · 13 readings
- 1989Rank rotation opens the names; pairing keeps the hedge
- 1991Evaluating allocation sleeves against an index proxy
- 1991Construct an equity book by weakening residual co-movement, then setting a market slope
- 1992Sizing index futures to retarget portfolio beta
- 1992Portfolio beta overlays with index futures and puts
- 1997Construct a trailing stop from beta and price
- 1998An offense-defense matrix for regime-aware stock selection
- 1998Constructing a stock-book duration proxy from beta and bond markets
- 2007An index put as deductible insurance for an active stock book
- 2010Constructing option overlays for beta-adjusted portfolios
- 2014Long-only relative value with an index hedge and a crisis stop
- 2017Hedging a rising book with beta and ATR
- 2019Sizing micro index futures overlays for cash equity books