Why Capital Market Expectations Matter
Every asset allocation decision begins with a set of assumptions about the future: how much will equities return? What will bond yields do? How volatile will emerging markets be? These assumptions are your Capital Market Expectations (CMEs), and they serve as the raw inputs for portfolio construction.
Get them wrong, and even the most sophisticated optimization framework will produce a flawed allocation. The CFA Level III curriculum dedicates two full readings to CMEs for good reason — they are the foundation of the entire asset allocation process.
The CME Framework: Two Non-Negotiable Requirements
Before diving into specific forecasting methods, the curriculum establishes two consistency requirements that every set of CMEs must satisfy:
Cross-Sectional Consistency
All your asset class forecasts must reflect the same underlying macro assumptions. If you project 3% real GDP growth for the United States, your equity return forecast (which depends on earnings growth, which depends on economic growth) and your bond yield forecast (which reflects growth expectations and monetary policy) should both be anchored to that same 3% assumption.
A common violation: projecting strong equity returns (implying robust growth) alongside falling bond yields (implying weak growth or recession). These two forecasts are telling contradictory stories about the same economy.
Intertemporal Consistency
Your short-term and long-term forecasts should connect through a plausible path. If you project a recession next year but 8% annualized equity returns over the next decade, the implied recovery path must be realistic. Claiming smooth 8% returns after a 30% drawdown requires extraordinary growth in the recovery years.
Macro Analysis: The Business Cycle Lens
The business cycle is the most practical tool for forming short-to-medium-term CMEs. Cycles typically last 9 to 11 years and progress through identifiable phases, each with distinct implications for asset class performance.
During early expansion, equities tend to deliver the strongest returns as earnings recover from recessionary lows while valuations remain compressed. Cyclical sectors lead the way. Government bonds begin to underperform as yields bottom and start rising.
In late expansion, inflationary pressures build as the economy approaches full capacity. Commodities and inflation-linked bonds become more attractive. Equity returns moderate as valuations stretch and earnings growth decelerates.
The slowdown phase is marked by decelerating growth and aggressive monetary tightening. Defensive equity sectors outperform, and the yield curve flattens or inverts. This phase often signals an approaching recession.
During contraction, government bonds deliver the strongest returns as central banks slash rates and investors seek safety. Equities broadly decline, with credit spreads widening sharply. Cash and short-duration instruments preserve capital.
Forecasting Tools: From Equities to Exchange Rates
The Grinold-Kroner Model for Equities
The curriculum's workhorse model for equity return forecasting decomposes expected returns into three components: income return (dividend yield adjusted for share buybacks), earnings growth (inflation plus real growth), and repricing (expected change in valuation multiples).
For example, a US equity forecast might use a 1.8% dividend yield, 1.0% buyback yield, 2.5% inflation, 2.0% real growth, and no change in P/E ratios, producing an expected return of 7.3%. The model's value lies in forcing the analyst to be explicit about each assumption.
Fixed-Income Building Blocks
Bond return forecasting stacks risk premiums on top of the real risk-free rate: an inflation premium, a term premium for duration risk, a credit premium for default risk, and a liquidity premium for infrequently traded issues. For emerging market sovereign bonds, you add sovereign and currency risk premiums.
The building-blocks approach works best for long-horizon strategic allocation. For shorter horizons, the current yield to maturity is a more accurate forecasting tool because it incorporates current pricing.
Exchange Rate Models
Purchasing Power Parity (PPP) is the long-term anchor: currencies of higher-inflation countries depreciate over time. Uncovered Interest Rate Parity links expected currency moves to interest rate differentials, though it is frequently violated in practice — a phenomenon known as the forward rate bias.
Monetary and Fiscal Policy Interactions
The shape of the yield curve reflects the interaction of monetary and fiscal policy. When both are expansionary, the curve steepens as growth and inflation expectations rise. When monetary policy tightens while fiscal policy remains loose, the result is often a steepening curve with higher long-term rates.
The Taylor rule provides a framework for estimating where the central bank's policy rate should be given the current output gap and inflation. When the actual policy rate deviates significantly from the Taylor rule estimate, it signals that policy may need to adjust — with implications for bond markets.
Putting It All Together
Effective CMEs combine top-down macro analysis (business cycle, policy) with bottom-up forecasting models (Grinold-Kroner, building blocks). The result is a coherent set of return, risk, and correlation assumptions that feed directly into the asset allocation optimizer.
The key takeaway for CFA Level III candidates: always check your CMEs for consistency before feeding them into any optimization framework. Inconsistent inputs will produce unreliable allocations, regardless of how sophisticated your optimization model is.
Ready to test your understanding? Try our CFA Level III practice questions on capital market expectations, or join the community discussion for peer-reviewed study strategies.