Market Risk Returns as Easy Money Ends
March 29, 20267m read1Standard
Fazen Markets Research
AI-Enhanced Analysis
market riskcentral banksequitiesvolatilitymacro
Global financial markets are entering a phase in which the implicit subsidy for risk assets has materially diminished, forcing investors to price in explicit costs for liquidity, duration and idiosyncratic exposure. The MarketWatch piece published on Mar 28, 2026 highlights that portfolios built under a low-rate, low-volatility regime face a recalibration of expected returns and higher realized drawdowns (MarketWatch, Mar 28, 2026). That reassessment is not limited to headline equity indices: credit spreads, private market valuations and carry strategies that benefitted from central-bank support are all being re-examined by institutional allocators. The practical implication is that model assumptions calibrated to the post-2008 and COVID-era market — particularly on volatility, correlation and funding cost — require upward adjustments and stress testing against a structurally higher-cost environment.
This change is measurable. The Federal Reserve tightened policy by roughly 500 basis points between 2021 and 2023, moving the federal funds target from near-zero to the mid-single digits (Federal Reserve statistical releases). Concurrently, the Fed's balance sheet expanded from about $4.2 trillion in early 2019 to roughly $9.0 trillion by 2022, reflecting extraordinary accommodation that supported risk asset reflation (Federal Reserve H.4.1 releases). The withdrawal of that accommodation — both through rate hikes and balance-sheet runoff — is not an instantaneous symmetric reversal; rather it has produced a bifurcated market reaction where volatility and correlation regimes have shifted faster than nominal yields in many asset classes.
Institutional investors must therefore confront three intertwined realities: higher policy rates increase the opportunity cost of equity and illiquid allocations; reduced central-bank backstops raise tail-risk premia; and elevated geopolitical and supply-chain stresses increase dispersion among sectors and regions. As a result, portfolio construction that relied on the implicit smoothing effects of cheap risk — for example, levered carry or concentrated growth exposure funded at low rates — is now likely to produce materially different risk-return outcomes. For allocators and fiduciaries, the critical question is not whether returns will be lower in absolute terms but whether previously acceptable drawdown profiles and liquidity assumptions remain appropriate.
Quantitative metrics confirm that the regime shift is more than rhetorical. The Federal Reserve’s cumulative policy tightening of approximately 500 basis points between 2021 and 2023 created a new policy-rate baseline that persists into 2026 market pricing (Federal Reserve FOMC statements; see topic). Real short-term rates — after adjusting for inflation expectations — turned positive again in the post-pandemic tightening cycle, altering discount-rate calculations for long-duration cash flows. In addition, the Federal Reserve’s balance-sheet expansion of roughly $4.8–5.0 trillion between 2019 and 2022 materially increased liquidity in fixed-income and repo markets; the retraction of that liquidity has amplified the sensitivity of credit spreads to macro surprises (Federal Reserve H.4.1, 2019–2022).
Volatility measures and cross-asset correlations have materially re-priced. While specific intraday numbers vary, professional risk managers have observed a step-up in realized volatility versus the sub-15 VIX regime that prevailed at times during the low-rate period; elevated realized volatility compresses valuations via higher discount-rate inputs and raises option-implied costs for hedging. At the same time, correlation across equities and credit has increased during drawdowns, reducing the diversification benefit that many models implicitly assumed. For example, drawdown episodes since 2021 have shown equity-credit correlations that are materially higher than during the 2010s low-volatility environment — a reminder that diversification without stress-tested tail behavior can be illusory.
Private markets provide a parallel data point: reported valuations in late-stage private equity and venture capital were sustained by low-cost financing and mark-to-model conventions. With higher financing costs and stretched exit markets, implied internal rates of return (IRRs) conditional on previous valuations are under pressure. Institutional LPs are reporting longer holding periods and lower realized multiples compared with fundraising-era expectations, which creates cashflow and reinvestment challenges. These observations are consistent with the MarketWatch narrative that the “cheap risk” era materially lowered perceived penalties for illiquidity and leverage (MarketWatch, Mar 28, 2026).
Sectors with high duration characteristics — software, certain consumer discretionary subsectors, and utilities with long-duration cash flows — face the most immediate valuation sensitivity to rising discount rates. Growth-oriented equities whose valuations depend on cash flows several years forward will see larger haircut in price-to-earnings and enterprise-value-to-revenue multiples versus value-heavy sectors such as energy or financials. Relative performance comparisons show that cyclical value benchmarks have outperformed growth benchmarks during several tightening cycles historically; allocators should expect sector rotation patterns to reassert themselves as rate awareness becomes the dominant price discovery channel.
Credit markets are also bifurcating. Investment-grade borrowers that can withstand higher coupon costs will trade more like floating-rate instruments in stressed conditions, while lower-rated corporate credits and leveraged loans show greater spread sensitivity and shorter liquidity windows. Private credit strategies that relied on cheap leverage face both funding-cost and covenant-pressure risks; institutional due diligence should emphasize covenant quality, refinancing windows and borrower sector exposure. This is particularly relevant when comparing direct-lending returns versus public high-yield indices where mark-to-market repricing is already observable.
Real-assets and commodities offer differentiated exposure depending on inflation and supply-side narratives. Energy and certain base metals have outperformed in periods when nominal rates rose alongside persistent supply constraints; conversely, real estate sectors with shallow rent-growth prospects and high leverage have underperformed. The rotation in relative performance between real assets, fixed income and equities underlines the need to assess macro-scenario conditional returns rather than rely on single-point forecasts. See our related analysis on liquidity premia and asset-class behavior at topic.
Portfolio-level risks have shifted from a predominately return-of-capital concern to a multi-dimensional risk surface including liquidity, funding, and sequence-of-return risks. Higher rates increase the likelihood of value-based margin calls and forced deleveraging in strategies that assumed persistent cheap funding. Institutional investors with target-date liabilities, defined-benefit obligations, or liquidity-matching requirements should rerun cashflow models under scenarios that assume prolonged policy rates above pre-pandemic norms.
Model risk is a major hazard: many quantitative frameworks continue to use historical windows that underweight recent large-step policy shifts and elevated correlation regimes. Backtests that include only low-volatility, low-rate periods may understate tail loss probabilities by a wide margin. Stress testing should incorporate multi-sigma shocks to rates and spreads, prolonged illiquidity windows (30–90 days for sizable positions), and increased correlation between traditionally uncorrelated assets. Operationally, firms should revisit margin and counterparty exposure, ensuring that collateral and funding plans are robust to 10–20% instantaneous repricing events in concentrated holdings.
Regulatory and credit-rating risks are also non-trivial. Higher default rates in more cyclical sectors can trigger rating downgrades that cascade through structured products and funds with rating-based triggers. The withdrawal of implicit central-bank support changes the incentive structure for market participants and may increase the systemic risk premium embedded in short-term funding markets. These second-order effects are why fiduciaries must combine top-down macrotilts with bottom-up security selection and liquidity governance.
Over the next 12–24 months, expect a continued re-pricing of risk premia across asset classes as participants shift from a liquidity-driven to a fundamentals-driven regime. Valuation compression will be uneven: high-duration growth names and weakly capitalized private companies will see larger markdowns versus cash-flow-rich cyclicals and commodity producers. Policy direction remains a key swing factor; any sign that central banks will pause or reverse runoff will trigger short-covering rallies, but those rallies will likely be more volatile and shorter-lived than the multi-year upward trends of the cheap-risk era.
From a portfolio-construction standpoint, the emphasis should be on convexity: positions that offer asymmetric upside with controlled downside, disciplined hedging frameworks, and explicit liquidity buffers. Rebalancing policies that automatically increase allocations to appreciating risk assets without checks on leverage or liquidity should be revised. Institutional investors will need to price a higher cost of capital into valuations and be prepared to hold lower nominal return expectations or accept higher active risk to achieve historical targets.
Contrary to a consensus that views the end of cheap risk purely as a headwind, Fazen Capital sees a tactical opportunity set arising from increased dispersion and volatility. Where cheap funding compressed yields and crowded trades, the new regime creates pockets of idiosyncratic mispricing — particularly in mid-cap corporate credit, certain commodity producers with supply constraints, and selected private-market assets with recurring cashflows. A disciplined, research-driven approach that emphasizes covenants, secured structures and active governance can harvest higher risk premia without assuming return-to-zero funding costs. That said, capital preservation and liquidity management must be elevated to primary objectives rather than afterthoughts.
Our contrarian view is that active managers with strong balance sheets and patient capital are positioned to outperform in the next cycle, provided they avoid leverage and adopt dynamic liquidity management. The shift away from cheap risk penalizes indiscriminate beta exposures more than differentiated, research-led alpha. Investors should therefore consider reallocating decision-making resources toward rigorous downside protection, not merely chasing nominal yield.
Q: What practical steps should pension funds take now that cheap risk is over?
A: Practical steps include re-running liability-driven models with a higher discount-rate floor, increasing short-term liquidity buffers (target 6–12 months of net cash flow for near-term liabilities), and adjusting glidepaths to reduce leverage in private allocations. Historical context: funds that maintained higher liquidity during the 2008 and 2020 stress episodes fared better on forced-deleveraging metrics.
Q: How does this regime affect hedging costs and options usage?
A: Expect hedging costs to rise as realized and implied volatility increase; delta-hedging long-duration equity exposures becomes more expensive, and put spreads widen. Tactical use of options should be more selective — focusing on cost-effective, event-driven hedges and collars rather than broad, long-dated protection which may become prohibitively expensive. Hedging strategies that rely on cheap carry will see their economics change materially compared with the pre-2021 environment.
The era of implicit subsidies for risk-taking has ended; institutional portfolios must be re-priced for higher funding costs, elevated volatility and reduced implicit liquidity backstops. Reallocate analytical effort to liquidity, covenant quality and downside scenarios to preserve capital and capture new dispersion-driven opportunities.
Disclaimer: This article is for informational purposes only and does not constitute investment advice.
Sponsored
Open a demo account in 30 seconds. No deposit required.
CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money.