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Derivatives & Market Structure
9 min readUpdated Apr 12, 2026

Risk-On / Risk-Off

ByConvex Research Desk·Edited byBen Bleier·
ROROrisk appetiteflight to safetyrisk sentimentrisk-onrisk-offsafe haven flows

A market regime description: "risk-on" means investors are buying higher-risk assets (equities, high-yield bonds, crypto, commodities); "risk-off" means they are fleeing to safety (Treasuries, gold, yen, dollar). Identifying the current regime drives cross-asset positioning.

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Analysis from May 14, 2026

What Is Risk-On / Risk-Off?

Risk-on/risk-off (RORO) is the dominant framework for understanding how sentiment drives correlated moves across all asset classes simultaneously. In risk-on environments, capital flows toward higher-yielding, higher-volatility assets, equities, credit, emerging markets, commodities, crypto. In risk-off environments, it flows toward safe havens, government bonds, gold, the US dollar, the Japanese yen, the Swiss franc.

The RORO framework emerged as a dominant market narrative after the 2008 Global Financial Crisis, when unprecedented central bank intervention (quantitative easing, zero interest rates) caused all risk assets to become highly correlated. In the QE era of 2009-2021, the single most important question for any portfolio was not "which stocks should I own?" but "is the market risk-on or risk-off?", because the regime determined 70-80% of returns across all asset classes.

The Risk-On / Risk-Off Asset Map

Understanding which assets belong to which regime is the foundation of cross-asset macro trading:

Asset Risk-On Behavior Risk-Off Behavior
S&P 500 / Nasdaq Rally, especially growth and cyclical sectors Sell off; defensive sectors (utilities, staples) outperform
High-yield bonds Spreads tighten, prices rise Spreads widen, prices fall
Emerging market equities Outperform developed markets Underperform sharply; capital flight
EM currencies (BRL, ZAR, MXN) Strengthen vs USD Weaken sharply; dollar strengthens
Commodities (oil, copper) Rise on growth/demand expectations Fall on recession/demand destruction fears
Bitcoin / crypto Rally with tech/growth Sell off (highly correlated to Nasdaq since 2020)
US Treasuries Sell off (yields rise) as capital rotates to risk Rally (yields fall) as capital seeks safety
Gold Mixed (can rise on inflation expectations) Rallies as ultimate safe haven
Japanese yen (JPY) Weakens (used as funding for carry trades) Strengthens sharply (carry trade unwinds)
Swiss franc (CHF) Weakens slightly Strengthens (European safe haven)
US dollar (DXY) Weakens (capital flows to higher-yielding assets) Strengthens (global reserve currency demand)
VIX Falls (complacency) Spikes (fear)

Important Nuances

Not all risk-off events produce identical flows. Three types of risk-off behave differently:

  1. Growth scare risk-off (e.g., August 2015 China fears, December 2018 Fed overtightening concerns): Equities fall, Treasuries rally, gold rallies, dollar is mixed. This is the "classic" risk-off.

  2. Inflation/rates risk-off (e.g., 2022 rate-hiking cycle): Equities AND bonds fall simultaneously. Gold initially falls too. Dollar strengthens. This breaks the traditional stock-bond diversification framework and is devastating for 60/40 portfolios.

  3. Systemic/credit crisis risk-off (e.g., September 2008, March 2020): Everything is sold, including normally safe havens, as leveraged investors face margin calls and sell whatever they can to raise cash. Even Treasuries can sell off temporarily (the March 2020 Treasury market dysfunction) before the Fed intervenes. Only actual cash (and eventually, the shortest-duration Treasuries) provides safety.

Historical Risk-Off Episodes: What Actually Happened

The 2008 Global Financial Crisis (Credit Crisis Risk-Off)

The most extreme risk-off episode in modern markets. From September to November 2008:

  • S&P 500: -40% in 3 months
  • VIX: peaked at 89.5 (highest ever recorded at the time)
  • HY spreads: blew out from 600 bps to 2,100 bps
  • 10-Year Treasury yield: fell from 3.8% to 2.1% (prices surged)
  • Gold: initially sold off (margin call liquidation) then rallied 25%
  • USD/JPY: fell from 110 to 87 (massive yen strengthening as carry trades unwound)

Key lesson: In the initial phase of a credit crisis, even safe havens can sell off as leveraged investors liquidate everything for cash. Only after the acute deleveraging phase passes do traditional risk-off flows assert themselves.

The COVID Crash (March 2020): Risk-Off in Fast Forward

The fastest risk-off episode ever recorded:

  • S&P 500: fell 34% in 23 trading days (fastest bear market in history)
  • VIX: hit 82.7 on March 16, 2020 (second-highest reading ever)
  • US Treasuries: initially rallied, then sold off sharply March 9-18 as hedge funds unwound leveraged Treasury basis trades, creating the paradox of bonds selling off during a risk-off panic
  • This Treasury dysfunction triggered emergency Fed intervention: unlimited QE announced March 23, 2020
  • Gold: fell 12% from March 9-19 (margin call selling), then rallied 40% by August 2020
  • Bitcoin: fell 50% in 48 hours (March 12-13), demonstrating it was a risk-on asset, not "digital gold"

Key lesson: The March 2020 episode proved that in sufficiently acute risk-off events, the only truly safe asset is cash. Everything else, including Treasuries, can experience temporary dislocations.

The 2022 Inflation Shock: A New Type of Risk-Off

The 2022 rate-hiking cycle introduced a regime where both stocks AND bonds fell:

  • S&P 500: -25% peak to trough
  • Bloomberg Aggregate Bond Index: -13% (worst bond bear market in 40+ years)
  • 60/40 portfolio: worst return since 1937
  • Gold: flat (no safe-haven rally because real yields were rising)
  • Dollar (DXY): rallied to 114 (20-year high), the "wrecking ball" dollar crushed EM assets
  • Crypto: -70% (Bitcoin from $69K to $15.5K)

Key lesson: When the risk-off trigger is inflation and rate hikes, traditional stock-bond diversification fails. The only beneficiary is the US dollar, which strengthens as global capital seeks the highest yields and the safest reserve currency.

Why Correlations Spike During Risk-Off

In normal markets, asset correlations are low to moderate, the S&P 500, oil, EM equities, and high-yield bonds each respond to different fundamental drivers. But during risk-off events, correlations spike toward 1.0 across all risk assets. Three mechanisms drive this:

1. Leverage Unwind and Margin Calls

When leveraged investors face losses, they must sell assets to meet margin calls. They sell whatever is most liquid, regardless of the asset's fundamentals. This is why you see seemingly irrational moves during crises: a commodity hedge fund selling gold to meet a margin call on its oil positions, or an equity fund selling Treasury futures to cover losses in stocks. The margin call doesn't care about asset class logic, it demands cash.

2. Risk Model Herding

Most institutional investors use similar risk models (Value at Risk, risk parity, volatility targeting). These models all use the same input: realized volatility. When volatility spikes, every risk model simultaneously signals "reduce exposure." This causes coordinated selling across all asset classes, not because fundamentals have changed everywhere, but because the risk models say the same thing at the same time to everyone.

3. The Liquidity Premium Repricing

In risk-off environments, the premium investors demand for holding any less-liquid asset rises dramatically. Corporate bonds widen versus Treasuries. Small-cap stocks underperform large-caps. EM underperforms DM. Off-the-run Treasuries widen versus on-the-run. This universal liquidity premium repricing causes prices to fall across all less-liquid markets simultaneously, creating the appearance of correlated selling.

Building a RORO Dashboard: Reading the Regime in Real Time

Professional macro traders monitor multiple indicators simultaneously to assess the current RORO regime. No single indicator is sufficient, the power comes from confirmation across indicators.

Primary Indicators

Indicator Risk-On Signal Risk-Off Signal Extreme Risk-Off
VIX Below 15 Above 25 Above 35
HY OAS Spread Below 350 bps Above 500 bps Above 800 bps
USD/JPY Rising (above 150) Falling sharply Multi-day collapse
Copper/Gold ratio Rising Falling Collapsing
2s10s Treasury spread Steepening Flattening Deep inversion
EM currency index Strengthening Weakening Collapse (>5% weekly)
S&P breadth (% >200d MA) Above 70% Below 40% Below 20%
Crypto funding rates Positive (>0.01%) Negative Deeply negative

Composite Scoring

Assign each indicator a score from -2 (extreme risk-off) to +2 (extreme risk-on). Sum the scores:

  • +8 to +16: Strong risk-on, favor equities, credit, EM, commodities
  • +1 to +7: Mild risk-on, favor risk assets with moderate sizing
  • -7 to 0: Mild risk-off, reduce risk exposure, increase hedges
  • -16 to -8: Extreme risk-off, maximum defensive positioning, Treasuries, gold, cash

The most valuable signal is the rate of change: a composite score moving from +10 to +2 in a week signals a deteriorating regime even if the absolute level is still positive.

RORO Regime Transitions: Where the Money Is Made

The most profitable (and dangerous) moments in markets are regime transitions, the shift from risk-on to risk-off or vice versa. These transitions are where positioning is most wrong, crowding is most extreme, and the repricing is most violent.

Risk-On → Risk-Off Transition Signals

  1. VIX term structure inversion: When front-month VIX futures trade above second-month (backwardation), the market is pricing imminent fear, a strong risk-off signal
  2. Credit-equity divergence: When HY spreads begin widening while equities are still near highs, credit is leading the risk-off transition (credit typically leads equities by 2-4 weeks)
  3. Yen strengthening with no BoJ catalyst: If USD/JPY is falling without a Bank of Japan policy change, global carry trades are being unwound, institutional risk-off
  4. Gold rallying alongside Treasuries: When both safe havens rally simultaneously, the signal is unambiguous risk-off (in risk-on, Treasuries sell off)
  5. Breadth narrowing: If the S&P 500 is making new highs but breadth indicators (% above 200-day MA, advance-decline line) are deteriorating, the rally is fragile and vulnerable to a risk-off shock

Risk-Off → Risk-On Transition Signals

  1. VIX term structure normalization: When the VIX futures curve returns to contango (upward sloping), fear is subsiding
  2. HY spreads peak and stabilize: The first week of stable-to-tightening HY spreads after a blowout is the strongest risk-on re-entry signal in credit
  3. EM currencies stabilize: When EM FX stops weakening and begins to recover, global capital flows are normalizing
  4. Central bank intervention: Policy responses (rate cuts, QE, emergency lending facilities) are the single most powerful catalyst for risk-off → risk-on transitions. The March 23, 2020 "unlimited QE" announcement marked the exact bottom.

Trading the RORO Framework

For Equities Traders

In risk-on regimes, favor beta (high-growth, cyclical, small-cap). In risk-off regimes, rotate to low-beta defensives (utilities, consumer staples, healthcare) or raise cash. The sector rotation is more important than individual stock selection during regime transitions.

For Fixed Income Traders

In risk-on, credit outperforms (tighter spreads) and duration underperforms (rising yields). In risk-off, the reverse. The trade is to shift between credit risk (HY bonds) and duration risk (long Treasuries) based on the regime.

For FX Traders

In risk-on, sell safe-haven currencies (JPY, CHF, USD) and buy high-yielders (AUD, NZD, EM currencies). In risk-off, reverse the trade. The carry trade is the purest expression of RORO in FX.

For Crypto Traders

Crypto is almost entirely risk-on. In risk-off environments, reduce exposure and move to stablecoins. The correlation between Bitcoin and Nasdaq has been structurally positive since 2020, making crypto a leveraged risk-on bet. The one exception: crypto may act as a hedge during banking-specific crises (SVB collapse March 2023), but not during broad macro risk-off events.

The Limits of RORO Thinking

The RORO framework is powerful but has limitations:

  1. Regime ambiguity: Many market periods are neither clearly risk-on nor risk-off. Choppy, rotational markets (much of 2023-2024) don't fit neatly into either bucket.

  2. Safe-haven status can change: The dollar was consistently risk-off in 2008-2019, but during the 2022 inflation shock, the dollar's strength was driven by Fed hawkishness, not traditional safe-haven demand. Gold failed as a hedge in 2013 (taper tantrum) and 2022 (real yield rises).

  3. Correlation regimes evolve: The stock-bond correlation was negative (diversifying) from 2000-2021 but turned positive in 2022-2023 when inflation was the dominant driver. RORO frameworks built on the assumption that "bonds hedge stocks" failed spectacularly.

  4. Macro vs. micro: RORO is a top-down framework. Individual assets can diverge from the regime, a specific company's earnings beat can drive its stock higher even in a risk-off macro environment. RORO explains 70-80% of cross-asset moves but never 100%.

Frequently Asked Questions

What triggers a shift from risk-on to risk-off?
Risk-off shifts are triggered by events that increase uncertainty about future cash flows, credit conditions, or geopolitical stability. Common triggers include: unexpected central bank hawkishness (the "taper tantrum" of May 2013, when Bernanke hinted at QE reduction, triggered a sharp risk-off move across global assets), geopolitical escalation (Russia's invasion of Ukraine in February 2022 triggered immediate risk-off flows into Treasuries and gold), credit market stress (Lehman Brothers' collapse in September 2008 triggered the most extreme risk-off episode in modern history), pandemic or health crises (COVID in February-March 2020), and sovereign debt crises (Greece 2010-2012, which triggered risk-off across all European assets). The speed and severity of the shift depends on the nature of the trigger: sudden, unexpected events (a surprise rate hike, an overnight invasion) cause the sharpest regime transitions, while slowly developing crises (gradual credit deterioration, escalating trade tensions) produce more gradual risk-off drifts. Importantly, risk-off moves are typically faster and more violent than risk-on recoveries because fear is a more powerful motivator than greed — positions built over months can be liquidated in hours.
Why does the Japanese yen strengthen during risk-off events?
The yen's safe-haven behavior is one of the most counterintuitive patterns in FX markets — Japan has the largest government debt-to-GDP ratio in the developed world (~260%), yet its currency strengthens during crises. Three structural factors explain this: (1) **Carry trade unwind**: Japan's ultra-low interest rates (near zero or negative for most of 2000-2024) make the yen the primary funding currency for global carry trades. Investors borrow yen cheaply, convert to higher-yielding currencies (AUD, TRY, MXN), and invest in risky assets. When risk-off hits, these trades are unwound — investors sell risky assets, convert back to yen, repay yen loans. This creates massive yen demand exactly during crises. (2) **Japan's net international investment position**: Japan is the world's largest net creditor nation, with approximately $3.4 trillion in net foreign assets (2024). During risk-off events, Japanese investors repatriate capital from foreign assets back to Japan, buying yen. (3) **Current account surplus**: Japan runs persistent current account surpluses, meaning there is structural demand for yen from trade flows. The yen's risk-off sensitivity is so reliable that USD/JPY is often used as a real-time proxy for global risk appetite. The July 2024 yen carry trade unwind, triggered by a surprise Bank of Japan rate hike, caused a 12% yen rally in three weeks and contributed to a global equity selloff.
Is Bitcoin risk-on or risk-off?
Bitcoin's risk classification has evolved significantly and remains contextual. In 2020-2022, Bitcoin behaved overwhelmingly as a risk-on asset: it rallied with equities during the post-COVID stimulus boom, crashed alongside tech stocks during the 2022 rate-hiking cycle, and showed a correlation of 0.6-0.8 with the Nasdaq during this period. The "digital gold" / "uncorrelated safe haven" narrative was thoroughly tested and failed during these episodes. However, Bitcoin has shown occasional risk-off characteristics: during specific banking crises (Silicon Valley Bank collapse in March 2023, Bitcoin rallied 40% while bank stocks crashed, acting as a hedge against banking system risk) and during currency debasement fears. The most accurate characterization: Bitcoin is a **liquidity-sensitive risk asset** that occasionally acts as a hedge against specific institutional risks (banking failures, sovereign currency crises) but not against broad market risk-off events like recessions or geopolitical shocks. Its correlation to equities has declined somewhat since 2023, with the Bitcoin-Nasdaq 30-day correlation dropping from 0.8 to 0.3-0.4 at times, but it remains structurally positive. For portfolio construction purposes, treat Bitcoin as a risk-on allocation — not a hedge — with the caveat that it may outperform during narrow scenarios involving institutional trust failures.
How do correlations change during risk-off events and why does diversification fail?
During risk-off events, asset correlations spike toward 1.0 across risk assets — a phenomenon known as "correlation convergence" or "contagion." In normal markets, the S&P 500 might have a 0.3 correlation with emerging market equities and 0.2 with high-yield bonds. During acute risk-off episodes like March 2020 or October 2008, these correlations can spike to 0.8-0.95. Everything falls together. This happens because of three mechanisms: (1) **Leverage unwind**: When leveraged investors face margin calls, they sell whatever they can — not what they want to. This means liquid assets (large-cap equities, investment-grade bonds, gold) get sold alongside risky assets simply because they are easier to liquidate. (2) **Risk model herding**: Most institutional investors use similar risk models (Value at Risk, risk parity). When volatility spikes, these models simultaneously signal "reduce exposure," causing coordinated selling across all asset classes. (3) **Liquidity premium repricing**: During risk-off events, the premium investors demand for holding illiquid assets rises sharply, causing prices to fall across all less-liquid markets simultaneously. This is why traditional diversification (stocks + bonds + alternatives) appears to work in backtests but fails during the exact moments it is most needed. The only reliably negative-correlation assets during risk-off are US Treasuries (short-duration), the VIX, and cash — everything else converges.
How can traders build a real-time risk-on/risk-off dashboard?
A comprehensive RORO dashboard monitors 8-10 indicators across asset classes, each providing a signal from -1 (strong risk-off) to +1 (strong risk-on). Key components: (1) **VIX level and trend**: VIX below 15 = risk-on; above 25 = risk-off; above 35 = extreme risk-off. (2) **HY credit spreads (CDX HY or HY OAS)**: Below 350 bps = risk-on; above 500 bps = risk-off; above 800 bps = crisis. (3) **USD/JPY direction**: Rising (yen weakening) = risk-on; falling (yen strengthening) = risk-off. (4) **2s10s Treasury curve**: Steepening = risk-on (growth expectations rising); flattening/inverting = risk-off. (5) **Copper/gold ratio**: Rising = risk-on (industrial demand growing); falling = risk-off (safe-haven demand rising). (6) **EM currency index (JPMorgan EMCI)**: Strengthening = risk-on; weakening = risk-off/dollar strength. (7) **S&P 500 breadth (% above 200-day MA)**: Above 70% = broad risk-on; below 30% = broad risk-off. (8) **Crypto funding rates**: Positive = risk-on speculation; negative = risk-off deleveraging. Aggregate the signals into a composite score. The power of this approach is identifying **regime transitions**: when 6 out of 8 indicators shift from risk-on to risk-off within a short window, the signal is much stronger than any single indicator alone. Many macro hedge funds (Bridgewater, Brevan Howard) use similar composite frameworks, often with proprietary weighting.

Risk-On / Risk-Off is one of the signals monitored daily in the AI-driven macro analysis on Convex Trading. The platform synthesises data across monetary policy, credit, sentiment, and on-chain metrics to generate actionable trade recommendations. Create a free account to build your own signal layer and see how Risk-On / Risk-Off is influencing current positions.

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