Account for how returns are unsmoothed and what unsmoothing does.
The idea
Unsmoothing tries to recover the true return from the smoothed reported one. Reported return mixes the true return with last period's reported return, as r(t) = (1 − c) × T(t) + c × r(t−1), where T is the true return and c is the smoothing coefficient. The coefficient c equals the first-order autocorrelation of reported returns. Solving for the true return gives the unsmoothed return, written Unsmoothed = [r(t) − c × r(t−1)] ÷ (1 − c). The average return is left roughly unchanged, but volatility rises. If true returns are independent, true volatility is reported volatility times a factor, written Factor = √((1 + c) ÷ (1 − c)). Correlations and betas with liquid markets also rise, and the Sharpe ratio falls. Common mistakes are dividing by (1 + c) instead of (1 − c), and forgetting the square root in the volatility factor. The exam point: unsmoothing raises risk measures and lowers apparent diversification, with the mean unchanged.
Formulas
Unsmoothed return
Unsmoothed = [rₜ − c × rₜ₋₁] ÷ (1 − c)
- rₜ
- the reported return this period
- rₜ₋₁
- last period's reported return
- c
- the smoothing coefficient, the first-order autocorrelation of reported returns
Divide by (1 − c), not (1 + c). The mean is left roughly unchanged, while volatility, correlations and betas rise.
Volatility factor from unsmoothing
Factor = √((1 + c) ÷ (1 − c))
- c
- the smoothing coefficient, the first-order autocorrelation of reported returns
True volatility is reported volatility times this factor if true returns are independent. Forgetting the square root is the common error.
A practice question
Compared with reported returns, unsmoothed returns of an illiquid asset typically show:
- Lower volatility, lower correlation, a higher Sharpe ratio and roughly the same mean.Why not: This describes the smoothed series; unsmoothing reverses all three.
- Higher volatility, lower correlation with liquid markets and a lower mean.Why not: Unsmoothing raises, not lowers, correlation and leaves the mean roughly unchanged.
- Higher volatility, a higher Sharpe ratio and a higher mean.Why not: Raising volatility with an unchanged mean must lower the Sharpe ratio, and the mean does not rise.
- Higher volatility, higher correlation, a lower Sharpe ratio and about the same mean. - correct
Unsmoothing removes the damping, so risk measures rise. With an unchanged mean the Sharpe ratio falls, and correlation with liquid markets rises.
A harder one
An illiquid fund reports a return of 3.0 percent this month and 1.2 percent last month. The smoothing coefficient (first-order autocorrelation) is 0.4. The unsmoothed return for this month is closest to:
- 1.8 percentWhy not: Divides by (1 + c) = 1.4 instead of (1 - c) = 0.6.
- 4.2 percent - correct
- 5.8 percentWhy not: Adds c times the lagged return instead of subtracting it: (3.0 + 0.48) / 0.6.
- 2.5 percentWhy not: Subtracts c times the lagged return but omits the division by (1 - c).
r* = (3.0 - 0.4 x 1.2) / (1 - 0.4) = 2.52 / 0.6 = 4.2 percent.
The hardest tier
A fund reports an annual mean return of 9 percent and volatility of 6 percent, with first-order autocorrelation of 0.6. The risk-free rate is 3 percent. Assuming uncorrelated true returns and an unchanged mean, the Sharpe ratio after unsmoothing is closest to:
- 1.00Why not: Reports the Sharpe ratio of the smoothed series, which is the figure unsmoothing is meant to correct.
- 0.40Why not: Divides volatility by (1 - c) = 0.4, which gives 15 percent, without the square root.
- 2.00Why not: Inverts the volatility adjustment, using sqrt[(1 - c)/(1 + c)] and so shrinking the volatility.
- 0.50 - correct
Unsmoothed volatility = 6 x sqrt(1.6 / 0.4) = 12 percent. Sharpe = (9 - 3) / 12 = 0.50, against 1.00 on reported figures.
In the app: 6 practice questions on this outcome, spaced review that brings it back before you forget it.
Start free →More in Illiquid Assets
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- Examine the link between imperfections in markets and a lack of liquidity.
- Weigh up how biases affect the returns reported for illiquid assets.
- Set the premiums paid for bearing illiquidity risk against each other, both across asset categories and within a single category.
- Appraise the consequences of putting illiquid assets into a portfolio, for rebalancing and trading as well as for deciding how large a proportion of them is optimal.