How Financial Markets Form Expectations and Price Risk

Financial markets do not react to events. They react to the gap between what happens and what they had anticipated. This distinction, often overlooked by non-professional observers, is the essential key to understanding price movements that seem to defy apparent logic. When U.S. job creation came in at 336,000 in September 2023 (BLS) — double the 170,000 consensus — bond markets sold off sharply, with the 10-year Treasury yield breaking above 4.80% for the first time since 2007. It was not the figure itself that moved prices — it was the forced revision of rate path expectations across market participants.

But these anticipation mechanisms do not operate in a vacuum — they are conditioned by the macroeconomic regime in which they occur. The same VIX level, the same CFTC positioning, the same put/call ratio do not carry the same meaning in a regime of abundant liquidity versus a regime of monetary tightening. Investor sentiment is a thermometer — but the temperature it measures depends on the real-rate environment, liquidity conditions, and the cycle structuring the market at a given time. This articulation between market behavior and the macro-financial regime is what this page seeks to formalize.

Three price-formation regimes since 2008

The way markets form, incorporate, and revise expectations has changed profoundly over the past fifteen years, in direct connection with transformations in the monetary regime and market structure.

2009–2019: the volatility-suppression regime

The quantitative easing decade produced a historically unprecedented market regime characterized by the systematic suppression of volatility. The VIX closed below 12 on 52% of trading sessions in 2017 (CBOE), an all-time record. Realized 30-day volatility on the S&P 500 fell to 4.5% in November 2017 — a level comparable to a government bond. The central bank “put” — the implicit conviction that the Fed would intervene to support markets in the event of a significant decline — functioned as a psychological floor that structurally altered investor behavior.

This regime produced three measurable distortions in price formation. First, a compression of risk premia to historically low levels: high-yield credit spreads fell to 303 basis points in June 2021 (ICE BofA), and the S&P 500 equity risk premium dropped below 3% (Damodaran, NYU) — a level signaling that investors demanded minimal compensation for bearing equity risk relative to bonds. Second, an explosion of “volatility-selling” strategies: assets in short-VIX products exceeded $3 billion at their early-2018 peak (Bloomberg), before the February 2018 “Volmageddon” — the XIV ETN lost 96% of its value in a single session when the VIX surged from 17 to 37 within hours, wiping out two years of returns. Third, a homogenization of expectations: forward consensus on Fed Funds remained anchored around 0–0.50% for most of the 2015–2021 period (CME FedWatch), creating one-way positioning that left markets vulnerable to any revision.

Traditional sentiment indicators behaved atypically during this period. The AAII survey showed average bullish sentiment of only 37% between 2010 and 2019 (AAII) — below the historical average of 38% — despite the S&P 500 rising 189%. This apparent contradiction reflects the “wall of worry” typical of liquidity-driven bull markets: retail investors remained skeptical while institutional flows, driven by TINA (There Is No Alternative), pushed indices higher.

2020–2021: the climax — euphoria, leverage, and dislocation

The monetary and fiscal response to the pandemic produced a speculative euphoria unmatched since the dot-com bubble. In March 2020, the VIX reached 82.7 (CBOE) — above the October 2008 peak of 80.9 — and the S&P 500 fell 34% in 23 sessions, the fastest drop in history. Then, following $5 trillion in U.S. fiscal stimulus (CBO) and a doubling of the Fed balance sheet within months (from $4.2T to $8.9T, Federal Reserve), markets reversed with symmetrical violence: the S&P 500 reached a new record in August 2020, only five months after the trough — the fastest recovery on record.

This period saw the emergence of structurally new market behaviors. Retail brokerage account openings surged — Robinhood added 3 million new accounts in Q1 2020 (SEC filing). Call option volumes hit historical records, with the equity put/call ratio (CBOE) falling to 0.40 in January 2021 — an extreme complacency level signaling overwhelmingly bullish positioning. AAII bullish sentiment reached 55–60% multiple times (AAII). Net speculative long positions in S&P 500 futures reached record highs (CFTC Commitment of Traders). GameStop rose to $483 in January 2021, up 18,700% from its 2020 low (NYSE), illustrating a regime where positioning and flows dominated valuation logic.

The relevant diagnosis of this phase is not “markets were irrational” — it is that the prevailing monetary and fiscal regime temporarily invalidated normal corrective mechanisms. When real rates are deeply negative (-1.19% on 10-year TIPS in August 2021, Federal Reserve), excess liquidity exceeds $4 trillion in the banking system (Federal Reserve), and government checks reach household accounts, extreme sentiment indicators lose their usual contrarian function — euphoria can persist far beyond historical thresholds.

2022–?: the return of risk premia and signal normalization

The 2022–2023 monetary tightening restored price-formation mechanisms that the previous decade had anesthetized. When real rates become meaningfully positive again (+2.40% on 10-year TIPS in October 2023, Federal Reserve), investors once more have a yield-bearing alternative to risky assets — “TINA” gives way to “TARA” (There Are Reasonable Alternatives). Risk premia rebuild, asset discrimination strengthens, and sentiment indicators gradually regain their historical informational function.

Volatility returned to a profile more consistent with historical standards. The VIX fluctuated between 12 and 35 in 2022, between 12 and 26 in 2023, and briefly reached 65 in August 2024 during the yen carry-trade unwind (CBOE) — a reminder that the return of rate differentials and volatility produces more frequent and more intense stress episodes. The correlation between extreme sentiment indicators and market turning points strengthened: the AAII bearish sentiment peak at 60.9% in September 2022 (AAII) — the highest since March 2009 — coincided with the S&P 500 bottom at 3,577 (October 13, 2022). The contrarian signal worked this time — precisely because the regime had changed.

In the current regime, sentiment indicators regain their analytical usefulness — not as timing tools, but as maps of risk asymmetries in an environment where capital has a cost and positioning mistakes are once again penalized.

The gap between expectations and reality: the fundamental price driver

The most common mistake is interpreting market reactions as judgments on the intrinsic quality of economic news. When Apple reports quarterly results up 15% and its stock falls 5%, the uninformed observer concludes markets are irrational. The analyst simply notes that consensus expected 20% growth. The adjustment does not concern the result — it concerns the revision of the expected trajectory.

This mechanism is empirically documented. During S&P 500 earnings seasons, the proportion of companies beating consensus has fluctuated between 60% and 80% since 2010 (FactSet Earnings Insight). Yet market reactions to these “positive surprises” vary dramatically depending on context. In Q3 2022, 72% of S&P 500 companies beat expectations (FactSet) — and the market continued falling. Individual positive surprises were absorbed by downward revisions in future earnings trajectories and ongoing monetary tightening. Conversely, in Q4 2023, similar proportions of positive surprises fueled a rally because consensus had begun pricing a “soft landing” that results helped confirm.

Earnings revision dynamics constitute an empirically more reliable leading indicator than absolute results. The revision ratio — number of upward revisions divided by total revisions — has systematically anticipated S&P 500 inflection points by 2 to 6 months (FactSet, Citi Earnings Revision Index). When this ratio falls below 0.50, signaling that more than half of analysts revise downward, the probability of an S&P 500 underperformance quarter exceeds 70% (Citi Research). This reading — the direction of revisions rather than absolute levels — is the structural analytical tool.

This dynamic is examined in our analysis of reassuring macro indicators masking market fragility, highlighting how surface stability can coexist with structural deterioration in the risk regime.

Volatility as a regime indicator

The VIX does not measure fear — it measures the uncertainty premium demanded in S&P 500 options markets over a thirty-day horizon (CBOE). This distinction is fundamental. A VIX at 12 does not mean absence of risk — it means the market prices 12% annualized volatility, corresponding to expected daily moves of ±0.75%. A VIX at 35 corresponds to expected daily moves of ±2.2%.

The absolute VIX level gains analytical meaning when interpreted within the macroeconomic regime. The VIX averaged 14.2 between 2013 and 2019, versus a historical average of 19.5 over 1990–2024 (CBOE). This compression reflected central bank volatility suppression, not an objectively less risky environment — as demonstrated by February 2018 (VIX 17 → 37 in one session), March 2020 (VIX → 82.7), and March 2023 (SVB failure). The “normal” VIX level depends on the regime — and the regime has changed.

The volatility term structure — the relationship between short- and long-term implied volatility — delivers a richer signal than the absolute level. In normal regimes, the curve is in contango: long-term implied volatility exceeds short-term, as investors demand a premium for distant uncertainty. When it inverts (backwardation), placing short-term volatility above long-term, markets signal immediate stress perceived as more dangerous than background uncertainty. This inversion preceded or accompanied every major turbulence episode: September 2008, March 2020, March 2023, August 2024 (Bloomberg).

A more concerning structural phenomenon is the growing correlation between extreme VIX episodes and liquidity dysfunctions. In March 2020, realized volatility in the Treasury market — the most liquid asset class globally — exceeded equity volatility for several days (BIS), signaling market microstructure dislocation that forced emergency Fed intervention. This volatility/illiquidity coupling is a feature of the current regime analyzed in the Liquidity sub-pillar.

Positioning and flows: the X-ray of institutional convictions

The Commitment of Traders Report (CFTC), published each Friday with a three-day lag, details open positions in U.S. futures markets by participant category. Net positions of hedge funds (“non-commercials”) in S&P 500 futures, Treasuries, gold, and currencies provide a weekly X-ray of institutional sentiment — not what participants say (surveys), but what they do (actual capital positioning).

Positioning analysis reaches full significance when cross-referenced with the macro-financial regime. Heavily bullish speculative positioning in S&P 500 futures — net long “non-commercial” positions exceeding 300,000 contracts (CFTC) — signals one-way consensus creating asymmetric vulnerability: if consensus is correct, upside is limited (buyers already acted); if wrong, downside is amplified by forced unwinds. In October 2007, speculative net long S&P 500 futures positions reached a historical peak — two months before the worst recession since the 1930s began (CFTC).

Sentiment surveys complement this X-ray with a psychological dimension. The AAII survey, with data back to 1987, shows empirical regularity: average S&P 500 returns over the next six months are significantly higher after peaks in bearish sentiment (>50%) and significantly lower after peaks in bullish sentiment (>50%) (AAII, Charles Schwab research). This pattern is neither mechanical nor immediate — markets can remain euphoric for months before correcting, as in 1999–2000 when bullish sentiment exceeded 50% in the first third of the dot-com bubble, leaving 12 additional months of gains before reversal.

The put/call ratio — the ratio of traded put options to call options — offers a complementary behavioral measure. The average equity put/call ratio (CBOE) shifted from 0.60 in 2010–2019 to 0.70–0.80 in 2022–2024, reflecting a structural regime shift: investors hedge portfolios more in a positive real-rate environment. This shift in the “norm” makes raw historical comparisons misleading — a 0.80 put/call ratio in 2024 does not carry the same meaning as 0.80 in 2017.

When markets say nothing: indeterminate phases

One of the most costly mistakes is trying to extract a signal from every market configuration. Some phases are defined by the absence of clear direction — unstable equilibrium of opposing forces or mutual neutralization of contradictory indicators. Our analysis of phases without actionable signals shows that this indeterminacy is not an anomaly but a structural feature of modern markets.

These phases are empirically identifiable. The VIX remains in a neutral zone (14–20), CFTC positioning shows no extremes, AAII bullish sentiment fluctuates around its historical average of 38%, earnings revisions are balanced. In 2014–2015 and 2018–2019, markets experienced long periods (6–12 months) where macro signals and sentiment signals were contradictory or neutral. In such configurations, discipline means recognizing the absence of signal rather than fabricating one — a form of analytical humility actively discouraged by a financial culture obsessed with constant action.

The relevance of indicators also varies by investment horizon. The daily put/call ratio informs short-term reading. CFTC positioning informs a horizon of weeks to months. Sentiment surveys serve as medium-term contrarian indicators. Structural risk premia — equity risk premium, term premium, credit spreads — inform long-term analysis. Two observers analyzing the same data but across different horizons can legitimately reach opposite conclusions — a temporal relativity that is a market feature, not an analytical flaw.

Structural limits and articulation with the macro framework

No sentiment or positioning indicator constitutes a predictive oracle. Their usefulness lies in identifying asymmetric risk configurations — moments when the distribution of potential returns leans significantly in one direction — not in providing precise timing signals. The speculative bubbles of 1999–2000 and 2020–2021 saw indicators reach excess levels in the first third of their bull runs — acting mechanically on these signals would have meant missing most gains before suffering the full correction.

The analytical value of these indicators is fully realized when integrated into the macroeconomic framework structuring the broader Eco3min analysis. Euphoric sentiment combined with negative real rates, abundant liquidity, and an early expansion cycle does not carry the same risk as euphoric sentiment combined with positive real rates, ongoing QT, and a late-cycle phase. It is the intersection between behavioral signals and the diagnosis of cycle, liquidity, and rate regime that produces the most reliable assessment.

Further reading

Phases without actionable market signals — Why indeterminacy is an integral part of how markets function.

Reassuring macro indicators, fragile markets — How apparent stability can mask structural deterioration in the risk regime.

Investment horizon gives decisions their meaning — Temporal relativity as a key to interpreting market signals.

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