Trivariate Investing
Combine quantitative, fundamental, and macro lenses before selecting equities
- Difficulty
- Advanced
- Time to result
- ~months to results
- Steps
- 5
- Confidence
- 97%
Trivariate Investing evaluates an equity through three complementary lenses. The quantitative lens measures signals such as valuation, momentum, revisions, margins, and historical return distributions. The fundamental lens investigates the company, its earnings drivers, competitive position, and changing economics. The macro lens identifies the current regime and determines where stock selection is likely to work, rather than attempting precise forecasts of rates or commodities. A decision becomes stronger when empirical evidence and company-level analysis agree and the surrounding regime supports the trade. Where the lenses conflict, the investor investigates the disagreement instead of forcing a conclusion. This combination can produce a more differentiated and less emotional research product than any discipline operating alone.
Origin
Adam Parker named Trivariate after the quantitative, fundamental, and macro perspectives he developed across statistical research, semiconductor analysis, equity strategy, and hedge-fund management.
Core principles
- 01No single analytical discipline captures the whole investment picture
- 02Quantitative evidence can counter emotional fundamental judgments
- 03Fundamentals explain the business while data tests whether the thesis pays
- 04Macro analysis should identify the regime rather than predict every variable
- 05The best opportunities appear where multiple lenses reinforce one another
How to run it
- 1
Build the quantitative view
Measure valuation, price momentum, earnings revisions, margins, and other historically testable signals. Compare the company with relevant peers rather than viewing each metric in isolation.
Pro tip Test combinations of signals against subsequent returns instead of assuming familiar factors work.
Watch out A statistically attractive stock can remain exposed to an adverse business change.
- 2
Investigate the fundamentals
Study the business model, financial statements, competitive position, management decisions, and estimate achievability. Identify what must happen for the market's expectations to be met.
Pro tip Focus on variables that drive stock returns, not merely revenue growth.
Watch out Industry expertise can introduce attachment and familiarity biases.
- 3
Identify the macro regime
Determine where the economy and market are now and which industries offer favorable conditions for distinguishing winners from losers. Treat macro as context for selection rather than a precise forecasting contest.
Pro tip Ask where alpha should be easiest to generate under current conditions.
Watch out Do not let confident rate or commodity forecasts dominate the company evidence.
- 4
Reconcile the lenses
Find candidates where quantitative signals, fundamental evidence, and regime conditions reinforce one another. Investigate contradictions before taking risk.
Pro tip A disagreement between lenses is useful diagnostic information.
Watch out Do not average conflicting evidence into false conviction.
- 5
Update without anchoring
Recompute the evidence as earnings, prices, and macro conditions change. Admit when the original business or market premise is no longer valid.
Pro tip Distinguish a cheaper price from an unchanged thesis.
Watch out A large decline does not prove that a stock has become attractive.
In the wild
At Morgan Stanley, Parker found that overweight recommendations beat equal- and underweight recommendations by about four percentage points, while his quantitative model produced a larger spread. Restricting longs to overweight stocks liked by the model and shorts to lower-rated stocks disliked by the model produced the strongest historical spread.
→ The combined quantitative and fundamental selection outperformed either discipline alone in the historical analysis.
An investor identifies an inflationary regime, measures revisions and momentum across sectors, and then performs fundamental work only where individual company margins and pricing power can create meaningful dispersion.
→ Research effort concentrates where the current regime offers the best opportunity to separate winners from losers.
Common mistakes
Using one variable as the thesis
A single attractive metric can conceal weak fundamentals, crowded positioning, or an unfavorable regime.
Treating macro as prophecy
The macro lens is intended to identify conditions and opportunity sets, not require perfect forecasts of rates or oil.
Anchoring after change
Refusing to update after a business-model or earnings change turns disciplined investing into defense of an obsolete thesis.
Is it for you?
Best for
It is best for equity investors making relative, long-short, or sector-allocation decisions.
Not ideal for
It is not ideal for ultra-short-term trading driven primarily by price and liquidity.
From the transcript
“the three variables investing UM, you know, quant fundamental, and macro.”
“a combination of something quantitative and maybe unemotional, combined with the fundamentals would be superior to either discipline alone.”
“Macro is more about where are we and what to do about it?”
From the episode
Adam Parker on Strategies and Valuations
Adam Parker