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Set out the methods used to form expected returns for equity markets

CFA® Level III · Asset Allocation · Capital Market Expectations, Part 2: Forecasting Asset Class Returns · L3.AA.2.c

The idea

Historical averages are simple but period-dependent. The Grinold–Kroner model decomposes expected return as dividend yield + (nominal earnings growth − % change in shares outstanding) + % change in P/E. With a 2% yield, 5% earnings growth, net buybacks shrinking shares by 1% and a P/E expected to fall 0.5% a year, the estimate is 2 + 5 + 1 − 0.5 = 7.5%. Equilibrium approaches such as Singer–Terhaar compute a risk premium as volatility × correlation with the global market × the market Sharpe ratio, blended with a segmented version by degree of integration. Risk premium build-ups add the premium to a bond yield. The trap is assuming P/E expansion continues indefinitely.

Formulas

Grinold–Kroner expected equity return

E(Rₑ) = D ÷ P + (i + g − ΔS) + Δ(P ÷ E)

D ÷ P
the expected dividend yield
i
expected inflation
g
expected real earnings growth
ΔS
the expected percentage change in shares outstanding: negative for net buybacks
Δ(P ÷ E)
the expected yearly percentage change in the price-to-earnings ratio

i + g together are nominal earnings growth. Net buybacks make ΔS negative, so they add to the return. A change in the P/E is a fair forecast for a few years, never for ever: multiples cannot expand indefinitely.

Singer–Terhaar risk premium, fully integrated market

RPᵢ = σᵢ × ρᵢ,GM × (RPGM ÷ σGM)

σᵢ
the asset's volatility
ρᵢ,GM
its correlation with the global investable market
RPGM ÷ σGM
the global market's Sharpe ratio: its risk premium over its volatility

For a fully segmented market set the correlation to one, since the asset prices only its own risk; that premium is larger. Blend the two by the degree of integration, then add the risk-free rate and any illiquidity premium for the expected return.

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