Attitude-Behavior Sentiment Confirmation
Confirm what investors say by checking what they actually do
- Difficulty
- Moderate
- Time to result
- ~weeks to results
- Steps
- 5
- Confidence
- 97%
This framework separates sentiment into attitudinal measures—what investors report feeling—and behavioral measures—how they are actually positioned. Surveys, conversations, and social-media commentary reveal attitudes, while equity exposure, fund flows, put-call ratios, and trading activity reveal behavior. A signal becomes more compelling when both sides align at an extreme. If investors claim to be deeply bearish while retaining near-record equity exposure, capitulation has probably not occurred. If pessimism coincides with reduced exposure, broad selling, and improving market internals, the evidence is stronger. The framework does not predict an exact bottom; it ranks the credibility of a sentiment signal by testing whether words and actions confirm each other.
Origin
Liz Ann Sonders learned the importance of sentiment from Marty Zweig and described applying both attitudinal and behavioral evidence throughout her career at Schwab.
Core principles
- 01Stated opinions and actual positioning can diverge.
- 02Behavioral evidence strengthens attitudinal signals.
- 03Extreme survey readings alone do not confirm capitulation.
- 04Multiple independent measures produce more credible conclusions.
How to run it
- 1
Measure stated attitudes
Gather surveys, client conversations, and credible commentary showing whether investors describe themselves as bullish, bearish, or neutral.
Pro tip Use several sources rather than treating one survey as representative.
Watch out Public commentary can become performative and may not reflect actual exposure.
- 2
Measure observed behavior
Review equity allocations, fund flows, put-call activity, trading data, and other evidence of how investors are positioned.
Pro tip Normalize level-based figures against relevant totals such as market capitalization.
Watch out One behavioral metric can be distorted by institutional, hedging, or liquidity needs.
- 3
Compare words with actions
Determine whether attitudinal and behavioral measures confirm or contradict each other. Contradiction indicates that the apparent extreme may be less meaningful.
Pro tip Create a simple matrix covering bullish or bearish attitudes and increasing or decreasing exposure.
Watch out Do not label pessimism as capitulation when investors remain heavily invested.
- 4
Add market internals
Check breadth, leadership, divergences, and participation to see whether market structure supports the sentiment reading.
Pro tip Look for improving breadth while headline indexes make new lows.
Watch out Headline index levels can conceal important changes beneath the surface.
- 5
Grade the setup, not the date
Classify the environment as weak, mixed, or compelling rather than declaring an exact market turning point.
Pro tip Use the result to guide risk discipline and rebalancing.
Watch out Sentiment extremes can persist and are not reliable standalone timing tools.
In the wild
AAII surveys showed record-high bearishness and record-low bullishness, yet reported equity exposure remained only slightly below its all-time high. Investors sounded frightened but had not acted with comparable intensity.
→ The mismatch weakened the case that June represented complete capitulation.
By October, sentiment showed more evidence of a washout while market breadth improved beneath indexes that had fallen below their June lows. Attitudes, behavior, and internals were more mutually supportive.
→ The setup looked more compelling without requiring a definitive bottom call.
Common mistakes
Trusting surveys alone
Extreme bullishness or bearishness may describe emotion without showing that investors changed their portfolios.
Calling an exact turning point
Even confirmed sentiment extremes establish conditions, not a precise market-timing signal.
Ignoring market internals
Sentiment can look bleak while breadth and participation are already improving beneath the indexes.
Is it for you?
Best for
Market analysts and portfolio managers assessing whether investor sentiment has reached a meaningful extreme.
Not ideal for
Investors seeking a precise short-term entry or exit date from a single indicator.
From the transcript
“I think it's important to look at both attitudinal measures of sentiment and behavioral measures of sentiment.”
“So that was a classic example of what they what they're saying, and what they're doing are sort of diametrically opposed.”
“Again, the message from us wasn't the bottom is in, but the message was this looks more compelling than what was happening in June because…”
From the episode
Liz Ann Sonders on Behavioral and Sentiment Measures in Markets