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