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CRITICISMS OF MEAN–VARIANCE OPTIMIZATION

PreviousMONTE CARLO SIMULATIONNextADDRESSING THE CRITICISMS OF MEAN–VARIANCE OPTIMIZATION

Last updated 1 year ago

Learning Outcome

  • describe and evaluate the use of mean–variance optimization in asset allocation

With this initial understanding of mean–variance optimization, we can now elaborate on some of the most common criticisms of it. The following criticisms and the ways they have been addressed motivate the balance of the coverage of MVO:

  1. The outputs (asset allocations) are highly sensitive to small changes in the inputs.

  2. The asset allocations tend to be highly concentrated in a subset of the available asset classes.

  3. Many investors are concerned about more than the mean and variance of returns, the focus of MVO.

  4. Although the asset allocations may appear diversified across assets, the sources of risk may not be diversified.

  5. Most portfolios exist to pay for a liability or consumption series, and MVO allocations are not directly connected to what influences the value of the liability or the consumption series.

  6. MVO is a single-period framework that does not take account of trading/rebalancing costs and taxes.

In the rest of Sections 2–9, we look at various approaches to addressing criticisms 1 and 2, giving some attention also to criticisms 3 and 4. Sections 10–18 present approaches to addressing criticism 5. “Asset Allocation with Real World Constraints” addresses some aspects of criticism 6.

It is important to understand that the first criticism above is not unique to MVO. Any optimization model that uses forward-looking quantities as inputs faces similar consequences of treating input values as capable of being determined with certainty. Sensitivity to errors in inputs is a problem that cannot be fully solved because it is inherent in the structure of optimization models that use as inputs forecasts of uncertain quantities.

To illustrate the importance of the quality of inputs, the sensitivity of asset weights in efficient portfolios to small changes in inputs, and the propensity of mean–variance optimization to allocate to a relatively small subset of the available asset classes, we made changes to the expected return of two asset classes in our base-case UK-centric opportunity set in Exhibit 1. We increased the expected return of Asia Pacific ex Japan equities from 8.5% to 9.0% and decreased the expected return of Europe ex UK equities from 8.6% to 8.1% (both changes are approximately 50 bps). We left all of the other inputs unchanged and reran the optimization. The efficient frontier as depicted in mean–variance space appears virtually unchanged (not shown); however, the efficient asset mixes of this new efficient frontier are dramatically different. Exhibit 10 displays the efficient frontier asset allocation area graph based on the slightly changed capital market assumptions. Notice the dramatic difference between Exhibit 10 and Exhibit 3. The small change in return assumptions has driven UK large cap, Europe ex-UK equities, and emerging market equities out of the efficient mixes, and the efficient mixes are now highly concentrated in a smaller subset of the available asset classes. Given that the expected returns of UK large cap and emerging market equities were unchanged, their disappearance from the efficient frontier is not intuitive.

Exhibit 10:

Efficient Frontier Asset Allocation Area Graph—Changed Expected Returns

To aid with the comparison of Exhibit 10 with Exhibit 3, we identified three specific efficient asset allocation mixes and compared the version based on the ad hoc modification of expected returns to that of the base case. This comparison is shown in Exhibit 11.

Exhibit 11:

Comparison of Select Efficient Asset Allocations—Ad Hoc Return Modification Allocations vs. Base-Case Allocations

Modified 25/75

Base Case 25/75

Difference

Modified 50/50

Base Case 50/50

Difference

Modified 75/25

Base Case 75/25

Difference

UK large cap

0.0%

1.2%

−1.2%

0.0%

2.5%

−2.5%

0.0%

0.0%

0.0%

UK mid cap

0.8%

0.6%

0.3%

1.7%

0.8%

0.9%

0.0%

0.0%

0.0%

UK small cap

0.5%

0.5%

−0.1%

0.4%

0.4%

0.0%

0.0%

0.0%

0.0%

US equities

13.7%

13.8%

−0.1%

26.6%

26.8%

−0.2%

40.1%

40.5%

−0.4%

Europe ex UK equities

0.0%

2.7%

−2.7%

0.0%

6.5%

−6.5%

0.0%

13.2%

−13.2%

Asia Pacific ex Japan equities

7.5%

1.0%

6.5%

16.6%

2.3%

14.2%

26.8%

1.5%

25.3%

Japan equities

2.2%

2.3%

−0.1%

4.5%

4.5%

0.0%

4.4%

4.3%

0.1%

Emerging market equities

0.0%

2.0%

−2.0%

0.0%

4.9%

−4.9%

0.0%

10.0%

−10.0%

Global REITs

0.3%

0.9%

−0.6%

0.2%

1.4%

−1.3%

3.8%

5.6%

−1.8%

Global ex UK bonds

10.9%

10.6%

0.3%

24.7%

23.9%

0.7%

25.0%

25.0%

0.0%

UK bonds

2.5%

2.7%

−0.2%

2.4%

3.0%

−0.6%

0.0%

0.0%

0.0%

Cash

61.6%

61.7%

−0.1%

22.9%

23.1%

−0.1%

0.0%

0.0%

0.0%

Subtotal equities

25.0%

25.0%

50.0%

50.0%

75.0%

75.0%

Subtotal fixed income

75.0%

75.0%

50.0%

50.0%

25.0%

25.0%