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Macroeconomics
9 min readUpdated Apr 12, 2026

Risk Assets

ByConvex Research Desk·Edited byBen Bleier·
risk assetsrisky assetsrisk-on assetsgrowth assetspro-cyclical assetsbeta assets

Investments whose returns are uncertain and vary with market conditions, including equities, corporate bonds, crypto, and commodities. They tend to rise when liquidity is ample and fall when it tightens.

Current Macro RegimeSTAGFLATIONDEEPENING

The macro regime is unambiguously STAGFLATION DEEPENING. The hot CPI print (pending event, 24h ago) is not a surprise — it is a CONFIRMATION of the pipeline signals that have been building for weeks: PPI accelerating faster than CPI, Cleveland nowcast at 5.28%, breakevens rising +10bp 1M across the …

Analysis from May 14, 2026

What Are Risk Assets?

Risk assets are financial instruments whose returns are uncertain, volatile, and highly sensitive to economic conditions, market sentiment, and liquidity. They include equities, high-yield corporate bonds, leveraged loans, emerging market debt, commodities, cryptocurrencies, and real estate. They are defined in contrast to safe haven assets, US Treasuries, gold, the US dollar, the Japanese yen, and the Swiss franc, which investors seek during periods of uncertainty and stress.

The concept of "risk" here is not pejorative. Risk assets offer higher expected returns precisely because they are uncertain, this is the equity risk premium, the credit risk premium, and the liquidity risk premium in action. Investors who bear the discomfort of volatility are compensated over time. The long-run annualized return of US equities (~10%) vs. US Treasuries (~4-5%) reflects this premium. But the path is brutal: risk assets can and do lose 30-50% of their value in months, and understanding what drives these swings is the core skill of macro trading.

The Risk Asset Universe: A Classification

Tier 1: Core Risk Assets (Highest Sensitivity to Risk Sentiment)

Asset Class Examples Beta to Risk Sentiment Key Driver
Small-cap equities Russell 2000, FTSE 250 Very High (~1.3-1.5) Domestic growth, credit availability
Emerging market equities MSCI EM, EEM Very High (~1.2-1.4) Global growth, dollar strength, China
High-yield bonds HYG, JNK High (~0.7-0.9) Credit conditions, default cycle
Cryptocurrencies Bitcoin, Ethereum Very High (~1.5-2.0) Liquidity, speculation, regulatory risk
Leveraged loans BKLN, senior secured loans High (~0.6-0.8) Credit conditions, CLO demand
Emerging market debt EMB, local currency EM bonds High (~0.8-1.0) Dollar strength, global risk appetite

Tier 2: Moderate Risk Assets

Asset Class Examples Beta to Risk Sentiment Key Driver
Large-cap equities S&P 500, MSCI World Moderate-High (~1.0) Earnings, valuations, liquidity
Investment-grade bonds LQD, IG corporates Moderate (~0.3-0.5) Rates + credit spreads
Industrial commodities Copper, iron ore Moderate-High (~0.8-1.0) Global manufacturing, China demand
REITs VNQ, real estate equities Moderate-High (~0.8-1.0) Rates, growth, property values
Energy commodities WTI crude, natural gas Moderate (~0.5-0.7) Supply/demand, OPEC, geopolitics

Tier 3: Safe Havens (Inverse to Risk Sentiment)

Asset Class Examples Beta to Risk Sentiment Behavior in Crisis
US Treasuries TLT, 10Y bonds Negative (-0.3 to -0.5) Rally as flight-to-safety demand surges
Gold GLD, physical gold Negative (-0.2 to -0.4) Rallies in most crises (exception: liquidity crises)
US Dollar (DXY) Dollar index Negative (-0.3 to -0.5) Strengthens as global capital seeks safety
Japanese Yen USD/JPY inverse Negative (-0.2 to -0.4) Yen strengthens as carry trades unwind
Swiss Franc USD/CHF inverse Negative (-0.1 to -0.3) Traditional European safe haven
Cash / T-Bills SGOV, money market funds Zero No drawdown, earns risk-free rate

What Drives Risk Assets: The Hierarchy of Forces

1. Liquidity (The Dominant Force)

Global liquidity, the total stock of money, credit, and central bank reserves circulating in the financial system, is the single most important driver of risk asset performance over any 6-18 month horizon.

Liquidity Measure What It Tracks Impact on Risk Assets
Global M2 Total money supply across major economies Correlation with MSCI World: ~0.85 over 20 years
Central bank balance sheets Fed + ECB + BoJ + PBoC total assets Combined balance sheet peaked at ~$28T in 2021
Net Fed liquidity Fed balance sheet - TGA - RRP The "plumbing" measure that drives short-term flows
Bank credit growth Total loans and leases in commercial banks Lead indicator for economic activity
Global FX reserves Foreign central bank reserve accumulation Recycled into Treasuries and risk assets

The mechanism: when central banks expand balance sheets (QE) or cut rates, they inject reserves into the banking system. Banks use these reserves to extend credit. Lower rates reduce the hurdle rate for investment and increase the present value of future cash flows. The "search for yield" pushes investors further out on the risk spectrum: from Treasuries to IG bonds to HY bonds to equities to crypto.

Historical evidence:

  • 2009-2021: The Fed expanded its balance sheet from $900B to $8.9T. The S&P 500 rose from 666 to 4,766, a 615% gain driven primarily by liquidity expansion.
  • March 2020: The Fed injected $3 trillion in 3 months. The S&P 500 recovered its entire 34% crash in 5 months, before corporate earnings recovered.
  • 2022: The Fed began QT, reducing its balance sheet. Risk assets had their worst year since 2008 (S&P 500: -19%, Nasdaq: -33%, Bitcoin: -65%, HY bonds: -11%).

2. Growth Expectations

After liquidity, the direction and momentum of economic growth is the second most important driver:

Growth Indicator Lead Time What It Tells You
ISM Manufacturing PMI 2-3 months Above 50 = expansion. Crossing above/below 50 is the key signal
ISM Services PMI 1-2 months Services-heavy economies: this matters more than manufacturing
Initial jobless claims 2-4 weeks Most timely labor market indicator. 4-week moving average > 250K = concern
SLOOS (lending survey) 6-12 months Bank lending standards lead credit conditions and growth
Conference Board LEI 3-6 months Composite leading indicator; 6+ months of decline historically precedes recession

Risk assets are forward-looking: they price in expected future growth, not current conditions. This is why markets often bottom months before recessions end and top months before recessions begin.

3. Financial Conditions

Financial conditions, the aggregate tightness or looseness of rates, credit spreads, equity prices, and the dollar, determine how easily the economy can access capital:

  • Easing conditions (falling rates, tightening spreads, rising equities, weaker dollar) → bullish for risk assets
  • Tightening conditions (rising rates, widening spreads, falling equities, stronger dollar) → bearish for risk assets

The Goldman Sachs FCI and Chicago Fed NFCI are the standard benchmarks. A rapid tightening of 50bps+ in the GS FCI historically precedes equity drawdowns of 5-10%.

4. Sentiment and Positioning

Extreme sentiment readings are the most reliable contrarian signals for risk asset timing:

Indicator Extreme Fear Extreme Greed
VIX >35 (buy signal) <12 (complacency, risk of correction)
CNN Fear & Greed <20 (extreme fear) >80 (extreme greed)
AAII Bull/Bear <20% bulls (contrarian buy) >60% bulls (contrarian sell)
Put/Call ratio >1.2 (excessive hedging) <0.6 (excessive complacency)
Fund flows Massive equity outflows Massive equity inflows (late-cycle)

Risk-On vs. Risk-Off Regimes

Markets alternate between two broad regimes, and identifying the shift early is one of the most profitable skills in macro trading:

Risk-On Characteristics

Feature Description
Equities Rising, especially small-cap and EM outperforming
Credit spreads Tightening (HY and IG spreads compressing)
Volatility Falling (VIX declining, realized vol low)
Currency USD weakening, EM currencies strengthening
Commodities Industrial metals and energy rising
Crypto Bitcoin and alts rallying
Safe havens Treasuries selling off (yields rising), gold flat/down
Correlations Low inter-asset correlations (diversification works)

Risk-Off Characteristics

Feature Description
Equities Falling, defensive sectors (utilities, staples) outperforming
Credit spreads Widening sharply (HY first, then IG)
Volatility Spiking (VIX rising, vol-of-vol elevated)
Currency USD strengthening, EM currencies weakening
Commodities Industrial metals falling (gold may rise)
Crypto Selling off aggressively (highest beta to risk sentiment)
Safe havens Treasuries rallying (yields falling), gold rising, yen strengthening
Correlations High inter-asset correlations (everything falls together)

Regime Shift Early Warning Signals

  1. Credit leads equity: HY spreads typically widen 2-4 weeks before equity markets peak. If HY OAS starts widening while the S&P 500 is still making highs, risk-off is approaching.
  2. Yen strengthens: The yen is a "canary" because carry trade unwinding (selling high-yielding EM assets, buying back yen) is one of the first risk-off flows.
  3. Breadth deteriorates: When index-level equities are rising but fewer stocks participate (declining advance-decline line), the rally is narrowing and vulnerable.
  4. VIX term structure inverts: When front-month VIX futures trade above back-month futures (backwardation), it signals acute near-term fear.

The Correlation Problem: Why Diversification Fails When You Need It Most

Normal Times vs. Crisis Times

The promise of diversification, holding multiple uncorrelated risk assets to reduce portfolio volatility, works beautifully during normal markets. During crises, it collapses:

Asset Pair Normal Correlation March 2020 Crisis 2022 Tightening
S&P 500 ↔ HY Bonds 0.55 0.92 0.85
S&P 500 ↔ EM Equities 0.65 0.95 0.88
S&P 500 ↔ Commodities 0.30 0.80 0.45
S&P 500 ↔ Bitcoin 0.40 0.85 0.75
S&P 500 ↔ Treasuries -0.30 -0.50 (worked!) +0.60 (failed!)

The 2022 breakdown of the stock-bond negative correlation was the most consequential portfolio construction event in a generation. For 20 years (2000-2020), Treasuries rallied when stocks fell, providing automatic portfolio insurance. When inflation surged in 2022, both stocks AND bonds fell simultaneously (-19% and -13% respectively), producing the worst 60/40 portfolio return since the 1970s.

What Actually Diversifies During Crises

Strategy Typical Crisis Return Mechanism
Cash / T-Bills 0% to +5% annualized No drawdown by definition
Gold +5-30% in deflationary crises, flat/negative in liquidity crises Safe haven flows, debasement hedge
Trend following (CTA) +10-40% in sustained crises Systematic shorts capture downtrends
Long volatility +50-200% in sudden crashes VIX spikes, tail hedges pay off
US Dollar (long DXY) +5-15% in global crises Reserve currency status, flight to safety

Practical Trading Framework

The Macro Regime Grid

Growth Accelerating Growth Decelerating
Liquidity Expanding Maximum risk-on: OW equities (small-cap, EM, tech), HY credit, crypto. UW bonds, cash. Selective risk-on: OW quality growth, IG credit. UW cyclicals. Central banks easing → eventual recovery.
Liquidity Contracting Late cycle: OW value/cyclicals, commodities, short-duration. UW growth, long bonds. Risk-off: OW cash, T-bills, gold. UW equities, HY, EM, crypto. Protect capital.

Position Sizing by Conviction

  • High conviction (2+ macro inputs aligned): 80-100% gross exposure, concentrated in highest-beta risk assets
  • Moderate conviction (mixed signals): 50-70% gross exposure, diversified across asset classes
  • Low conviction (conflicting signals): 30-50% gross exposure, heavy cash weighting, active hedges
  • Contrarian (extreme sentiment against you): Size smaller initially, scale in as thesis confirms

Key Takeaways for Traders

  1. Liquidity is the tide that lifts or sinks all risk assets, follow global M2, central bank balance sheets, and net Fed liquidity before everything else
  2. Risk-on/risk-off is a regime, not a day, regime shifts typically last 3-18 months; identify them early through credit spreads and cross-asset signals
  3. Diversification among risk assets fails in crises, true hedges (gold, CTA, cash, long vol) are needed, not just more risk assets with different names
  4. Stock-bond correlation determines portfolio construction, when bonds and stocks are positively correlated (inflationary regime), traditional 60/40 doesn't work
  5. The best time to buy risk assets is when fear is highest, VIX >35, HY spreads >600bps, AAII bears >50% have historically preceded 20%+ annual returns in equities

Frequently Asked Questions

What qualifies as a risk asset versus a safe haven and is the distinction always clear?
The risk asset vs. safe haven distinction is based on how an asset behaves during periods of market stress, not on any inherent property. Risk assets lose value when uncertainty rises and investors flee to safety; safe havens gain value (or at least hold it) during the same periods. The core risk assets: equities (especially small-cap, growth, and emerging markets), high-yield corporate bonds, leveraged loans, emerging market debt, commodities (especially industrial metals and energy), cryptocurrencies, and real estate. The core safe havens: US Treasuries, German Bunds, Japanese Yen, Swiss Franc, gold, and cash (particularly USD). However, the distinction is not always clean. Some assets shift categories depending on the type of crisis: (1) Gold is a safe haven during financial crises and geopolitical shocks but can trade like a risk asset during liquidity crises (March 2020 — gold fell 12% as funds liquidated everything for cash). (2) Long-duration Treasuries are the quintessential safe haven in deflationary/growth scares but can behave like risk assets during inflation scares (2022 — bonds and stocks fell together). (3) The US dollar is a safe haven during global crises but weakens during US-specific fiscal concerns. (4) Crude oil usually trades as a risk asset but becomes a "geopolitical hedge" during Middle East tensions. (5) Bitcoin was designed as "digital gold" but trades with a 0.5-0.7 correlation to the Nasdaq — firmly a risk asset in practice.
Why does liquidity matter more than fundamentals for risk assets?
The single most powerful predictor of aggregate risk asset performance is not earnings growth, GDP, or valuation — it is global liquidity, defined as the total amount of money and credit circulating in the financial system. The empirical evidence is striking: the correlation between global M2 money supply growth and the MSCI World Index (a proxy for global risk assets) has been approximately 0.85 over the past 20 years. When global M2 grows above trend, risk assets rally almost regardless of fundamentals. When M2 contracts, risk assets struggle even with strong earnings. The mechanism: liquidity drives the marginal buyer. When central banks expand their balance sheets (QE) or lower rates, banks create more credit, money market funds have more cash to deploy, margin lending expands, and the "search for yield" pushes capital into progressively riskier assets. The famous "Fed put" is really a "liquidity put" — risk assets are supported as long as central banks are willing to expand liquidity in response to stress. The 2020 COVID crash and recovery demonstrated this perfectly: the S&P 500 fell 34% in 23 days as liquidity evaporated, then recovered everything in 5 months as the Fed injected $3 trillion in new liquidity. Corporate earnings didn't recover until 2021, but risk assets didn't wait — they followed the liquidity. Michael Howell of CrossBorder Capital tracks global liquidity across 80+ central banks and has shown that liquidity leads risk asset returns by 6-12 months.
How do risk assets behave differently across economic regimes?
Risk asset performance varies dramatically depending on the macroeconomic regime — growth, inflation, and monetary policy combined. Understanding these regimes is the foundation of macro-driven asset allocation. (1) Goldilocks (above-trend growth, low/falling inflation, easy policy): The best environment for risk assets. Equities rally broadly, credit spreads tighten, EM outperforms, crypto rallies. Example: 2017, 2019, late 2023. (2) Reflation (recovering growth, rising but manageable inflation, easy-to-neutral policy): Good for risk assets, especially cyclicals, commodities, and value stocks. Credit performs well. Example: 2021, 2003-2004. (3) Overheating (strong growth, high inflation, tightening policy): Mixed for risk assets. Commodities outperform. Equities struggle as valuations compress from rate hikes. Credit begins to weaken at the margin. Example: first half 2022. (4) Stagflation (slowing growth, high inflation, tight policy): The worst environment for risk assets. Equities, credit, and crypto all sell off. Only commodities and real assets provide a hedge. Example: 1974, 2022 (briefly). (5) Recession (contracting growth, falling inflation, easing policy): Initially terrible for risk assets, but the bottom typically occurs 3-6 months before the recession ends. The best time to buy risk assets is during the recession, when fear is highest. Example: March 2009, March 2020. The key insight: you don't need to predict GDP numbers — you need to identify which regime the economy is transitioning into, because relative performance shifts happen at the inflection points, not during the steady state.
What is the correlation between different risk assets and how has it changed?
The correlation structure between risk assets is one of the most important — and most misunderstood — concepts in portfolio construction. During normal market conditions, correlations between risk asset classes are moderate (0.3-0.6), providing diversification benefits. During crises, correlations spike toward 1.0 as "everything sells off together," destroying the diversification that portfolios relied on. Historical average correlations (normal markets): S&P 500 ↔ HY bonds: 0.55. S&P 500 ↔ EM equities: 0.65. S&P 500 ↔ Commodities: 0.30. S&P 500 ↔ Bitcoin: 0.40 (post-2020). S&P 500 ↔ Real Estate (REITs): 0.60. Crisis correlations (March 2020, for example): virtually all of these jumped to 0.80-0.95, as forced deleveraging, margin calls, and liquidity hoarding caused indiscriminate selling. A critical development since 2020: the stock-bond correlation has turned positive after being negative for 20 years (2000-2020). When bonds and stocks are positively correlated (as in 2022, when both fell 15%+), the traditional 60/40 portfolio loses its insurance mechanism. This has forced institutional investors to look for alternative hedges — gold, trend-following (CTA) strategies, and volatility strategies have seen massive inflows as replacements for the bond diversification that no longer works reliably in inflationary regimes.
How should a macro trader position across risk assets based on market conditions?
A practical risk asset allocation framework based on macro conditions uses three primary inputs: (1) Liquidity direction — is global M2/central bank balance sheet expanding or contracting? (2) Growth direction — are leading indicators (PMIs, jobless claims, credit conditions) improving or deteriorating? (3) Inflation direction — is inflation trending toward or away from central bank targets? The framework: When liquidity expanding + growth improving + inflation contained → Maximum risk-on. Overweight equities (especially small-cap, EM, tech), HY credit, crypto. Underweight bonds, cash. When liquidity expanding + growth slowing → Selective risk-on. Overweight quality growth equities, IG credit. Underweight cyclicals, commodities. Central banks will ease further. When liquidity contracting + growth strong → Late cycle. Overweight value/cyclicals, commodities, short-duration credit. Underweight long-duration growth, long bonds. When liquidity contracting + growth slowing → Risk-off. Overweight cash, short-term Treasuries, gold. Underweight equities, HY credit, EM, crypto. Position size: scale risk exposure based on the conviction level of the macro call. Full conviction = 80-100% gross exposure; uncertain = 50-60%; conflicting signals = 30-40% with hedges. The single most important rule: don't fight the liquidity tide. A mediocre stock portfolio in an expanding liquidity environment will outperform a perfect stock portfolio in a contracting one. Follow the flow of money, not the flow of narratives.

Risk Assets 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 Assets is influencing current positions.

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