Profits-Liquidity-Sentiment Process
Find markets where improving fundamentals meet available capital and low enthusiasm
- Difficulty
- Advanced
- Time to result
- ~months to results
- Steps
- 7
- Confidence
- 98%
The Profits-Liquidity-Sentiment Process evaluates markets through complementary drivers before forming a portfolio. Profits indicate whether business fundamentals are improving or deteriorating. Liquidity—including central-bank policy, yield curves, and banks' willingness to lend—shows whether capital is available to exploit those fundamentals. Sentiment is assessed structurally through actual asset allocation and valuation rather than volatile trading indicators. The preferred opportunity combines improving profitability, sufficient liquidity, and widespread disinterest; the inverse combination warns of danger. Bernstein then pairs this macro assessment with quantitative portfolio formation, using baskets rather than individual stock bets and measuring whether the thesis can be expressed without excessive risk. Consistently applying the same indicators prevents headlines, forecasts, and central-bank events from repeatedly pulling the portfolio away from its governing process.
Origin
Extracted from Masters in Business. Bernstein said the methodology evolved through multiple generations from research originally developed at Merrill Lynch in the early 1990s.
Core principles
- 01Profits reveal whether fundamentals are improving
- 02Liquidity determines whether investors can act on fundamentals
- 03Asset allocation and valuation reveal structural sentiment
- 04Quantitative risk analysis must test whether a macro thesis is investable
- 05A stable process filters event-driven noise
How to run it
- 1
Measure the profit cycle
Determine whether corporate profitability and related fundamentals are improving, peaking, or deteriorating.
Pro tip Analyze profit cycles separately from headline economic cycles because portfolios can face an earnings recession without an official economic recession.
Watch out Do not treat strong historical earnings as proof that forward profitability remains healthy.
- 2
Assess system liquidity
Review central-bank policy, yield-curve slopes, money growth, and other indicators of capital availability.
Pro tip Evaluate several markets because liquidity conditions can differ substantially by country.
Watch out Do not equate a policy-rate change with an immediate change in real-world credit.
- 3
Check lending behavior
Determine whether banks are actually willing to extend credit, since central banks can set conditions but cannot force lending.
Pro tip Use lending behavior to understand the lag between monetary policy and economic impact.
Watch out Do not assume cheaper policy rates automatically create usable liquidity.
- 4
Read structural sentiment
Examine how investors are allocating assets and use valuation as evidence of enthusiasm or neglect.
Pro tip Favor allocation measures over noisy short-term indicators such as put-call ratios.
Watch out Do not use valuation as a precise timing tool in isolation.
- 5
Find the driver alignment
Seek markets where profits improve, liquidity supports risk-taking, and sentiment remains subdued; treat the reverse alignment as a warning.
Pro tip The strongest opportunities often exist where good fundamentals have not yet attracted broad enthusiasm.
Watch out A compelling story is insufficient when profitability or liquidity is deteriorating.
- 6
Construct the portfolio quantitatively
Express the macro thesis through diversified baskets and test the risk created by each allocation.
Pro tip Treat baskets as purpose-built ETFs representing the desired macro exposure.
Watch out Do not implement a correct macro view through a portfolio carrying unintended or excessive risk.
- 7
Hold the process steady
Continue monitoring the same drivers instead of changing methods in response to every market-moving event.
Pro tip Let new data update the indicators rather than allowing headlines to replace them.
Watch out Do not flail between positions based on daily central-bank commentary.
In the wild
US M2 growth reached roughly 27% to 28% while normal business activity was constrained. With limited places for the money to go, savings increased and capital flowed into stocks, helping the bull market develop more rapidly than many expected.
→ The liquidity component helped explain a rapid market recovery despite disrupted economic activity.
An allocator finds improving sector earnings and healthier lending conditions while fund-flow and valuation data show that investors remain underweight. The allocator builds a diversified sector basket, verifies that no single company dominates its risk, and sizes the position according to the measured volatility.
→ The portfolio captures improving fundamentals without relying on one stock or an emotional market forecast.
Common mistakes
Reacting to every event
Treating each data release or central-bank comment as a new regime produces inconsistent positions and obscures durable information.
Ignoring credit transmission
Policy settings do not reveal whether banks are actually lending, creating false conclusions about available liquidity.
Expressing a thesis recklessly
A correct macro view can still fail when implemented through concentrated or poorly measured exposures.
Is it for you?
Best for
It is best for top-down investors allocating across sectors, styles, countries, and asset classes.
Not ideal for
It is not ideal for short-term traders or investors primarily selecting individual companies through bottom-up research.
From the transcript
“what we do is we combine line a process driven macro assessment with quantitative portfolio formation.”
“what we're looking for places where profitability and fundamentals are improving, there's liquidity to take advantage of it, and nobody cares, right, that's a pretty…”
“No matter what happens, come hell or high water, do not deviate from that process.”
From the episode
Richard Bernstein on Quantitative Analysis