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Using the Latest Asset Allocation Techniques to Benefit Your Portfolio
Presented at IIR’s Understanding Asset Allocation and Investment Policy Conference Design for Pension Funds
June 19, 2000
Michael D. Smith, CFA
Research Director
Hewitt Investment Group
Hewitt
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Asset Allocation
Asset Allocation Overview• Importance of asset allocation.
• Risk tolerance.
• Impact of investment time horizon on risk tolerance.
• Diversification principles.
• Definition of asset classes.
• Assumption setting for asset classes.
• Limitations of modeling for asset allocation.
• Asset allocation in the context of liabilities.
• Rebalancing policy.
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Importance of Asset Allocation
How Much Does Asset Allocation Explain?• The correct answer is that it depends on how you ask the question.
• Following the Brinson/Beebower studies in 19861 and 19912, most people answer 90%.
• The Brinson study asked what percentage of the variability of return was explained across time by asset allocation.
• The formulation regresses a fund’s monthly return against the monthly return of its policy benchmark.
• There are more interesting questions worth asking!
• Earlier this year Roger Ibbotson3 repeated the Brinson analysis, and asked and answered two new questions.
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Importance of Asset Allocation
Asset Allocation and Return Variability Across Time• Ibbotson’s study examined 94 U.S. balanced mutual funds and 58 pension
funds.
• The answer to the question of variability across time is confirmed by Ibbotson, but the impact of active management and capital market exposure is demonstrated.
Time-Series Regression Studies
Brinson 1986 Brinson 1991 Mutual Funds Pension Funds
R2 93.6% 91.5% 81.4% 88.0% Mean NA NA 87.6% 90.7% Median
Active Return (Annualized) Mean -1.10% -0.08% -0.27% -0.44% Median NA NA 0.00 0.18%Source: Ibbotson (2000).
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Importance of Asset Allocation
Asset Allocation and Return Variability Among Funds• While many people still refer to Brinson’s 90% to answer this question, the
true answer is much different.
• To answer this question, Ibbotson regressed the 10-year compound annual return for each fund against its policy return.
• For mutual funds, asset allocation explained only 40% of the return difference for mutual funds, and 35% for the pension funds.
Cross-Sectional Distribution of Balanced Mutual Fund Policy Weights
Large Cap Small Cap Non-US Stocks U.S. Bonds Cash
Average 37.4% 12.2% 2.1% 35.2% 13.2%
75th Percentile 48.8% 16.5% 3.1% 45.1% 17.5%Median 40.2% 11.0% 1.5% 35.2% 7.7%25th Percentile 29.9% 7.1% 0.0% 26.6% 1.0%Source: Ibbotson (2000).
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Importance of Asset Allocation
Asset Allocation and Return Level• The is probably the most important question of the three, and the answer is
higher than convention wisdom.
• To answer this question, Ibbotson simply took the ratio of the policy return to the fund return for the full period.
• The results show the asset allocation accounts for about 100% of fund returns.
Percentage of Total Return Level Explained by Asset Allocation
Brinson 1986 Brinson 1991 Mutual Funds Pension Funds
Average 112% 101% 104% 99%
95th Percentile NA NA 82% 86%75th Percentile NA NA 94% 96%Median NA NA 100% 99%25th Percentile NA NA 112% 102%5th Percentile NA NA 132% 113%Source: Ibbotson (2000).
Skewed MFdistribution
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Asset Allocation
The “Big Picture”
Capital Market
Expectations
RiskTolerance
Asset
Allocation
Funding
Goal
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Asset Allocation
The “Big Picture”• The goal of the asset allocation process is to select an “optimal” portfolio of
assets given a plan’s risk tolerance and capital market expectations.
• Risk tolerance includes factors such as:— Time horizon;— Demographics;— Plan design;— Funded level; and— Ancillary goals.
• Typically, assets are modeled with a “mean/variance” optimizer, and the results are integrated with liability modeling.
• Goal analysis determines the probability of achieving various funding targets.
• The most important result for asset allocation is the target level of equity exposure.
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Asset Allocation
Risk Tolerance Public Pensions• There are three major determinants of risk tolerance for a public plan:
• Business and financial position.— Ability to get additional contributions if investments perform poorly in
the short-term;
• Workforce demographic characteristics; and — Average age and years of experience, active/inactive ratio, retiree
liability to plan assets (i.e., duration of liabilities).
• Actuarial and funded status.
— Funded ratios, actuarial smoothing, actuarial assumptions.
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Asset Allocation
Risk Preference • The complete risk posture of a plan is more than the hard numbers.
• Risk preference incorporates the psychological stance of the plan sponsor, along with ancillary goals.
• Risk preference includes factors such as:— The importance of short-term losses versus the chance of long-term
gains;
— The importance of plan value versus long-term funding;
— Predictability of returns versus long-term results.
• Ancillary goals may include desired improvements in pension benefits, credit rating goals, tax policy goals, or “excess interest” account considerations.
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Asset Allocation
Risk Posture
Business and Financial Characteristics
Demographic Characteristics
Actuarial and Funding Characteristics
Risk Preference
Below Average Average Above Average
Overall Risk Posture
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Asset Allocation
What is Risk?
• Volatility • Sovereign risk
• Counter-party risk • Tracking error risk
• Credit risk • Career risk
• Interest rate risk • Peer risk
• Inflation risk • PR risk
• Model risk • Tax rise risk
• Liquidity risk
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Performance of Best Asset Class Annual Returns
38.6%
16.6%
33.8%
29.1%
15.1%
56.7%
69.9%
24.9%
34.9%
61.5%
9.0%
46.1%
18.4%
79.6%
8.1%
37.4%
23.1%
33.4%
28.9%
43.1%
66.4%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999
EmergingMarkets
U.S. Large
U.S.Small
Int’l Equity
HY Bonds
RealEstate
U.S. Bonds
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Performance of Best Asset Class Annual Returns
38.6%
16.6%
33.8%
29.1%
15.1%
56.7%
69.9%
24.9%
34.9%
61.5%
9.0%
46.1%
18.4%
79.6%
8.1%
37.4%
23.1%
33.4%
28.9%
43.1%
66.4%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999
EmergingMarkets
U.S. Large
U.S.Small
Int’l Equity
HY Bonds
RealEstate
U.S. Bonds
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Asset Allocation
Diversification — Asset Assumptions
Expected Return Components
0%
2%
4%
6%
8%
10%
U.S. Stocks International Stocks Fixed Income Real Estate
Liquidity Premium
Spread Premium
Risk Premium
Real Risk Free Rate
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Asset Allocation
Diversification — Asset Assumptions
Expected InvestmentPerformance Correlation Coefficients
RealReturn
StandardDeviation LC SC I EM FI HY CE RE
U.S. Large Capitalization (LC) 7.0% 18.0% 0.85 0.65 0.60 0.45 0.55 0.25 0.05U.S. Small Capitalization (SC) 7.5 28.0 0.55 0.50 0.30 0.60 0.15 0.05International (I) 7.0 21.0 0.40 0.35 0.45 0.10 0.05Emerging Markets (EM) 8.0 30.0 0.30 0.40 0.05 0.05Total Equity
U.S. (FI) 3.5% 9.0% 0.75 0.60 0.10High-Yield (HY) 4.5 12.0 0.25 0.15Cash Equivalents (CE) 1.0 2.5 0.10Total Fixed-Income
Real Estate (RE) 5.0% 12.0%
Inflation 2.5% 1.5% -0.30 -0.20 -0.10 -0.10 -0.50 -0.35 -0.75 0.00
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Asset Allocation
Diversification — Asset Optimization
Mean/Variance Optimization
4%
5%
6%
7%
8%
7% 9% 11% 13% 15%
Standard Deviation
Rea
l Ret
urn
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Asset Allocation
Diversification — Asset Optimization
Mean/Variance Optimization
4%
5%
6%
7%
8%
7% 9% 11% 13% 15%
Standard Deviation
Rea
l Ret
urn
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Asset Allocation
Diversification — Theory
Mean/Variance Optimization
4%
5%
6%
7%
8%
7% 9% 11% 13% 15%
Standard Deviation
Rea
l Ret
urn
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Asset Allocation
Diversification — Theory and Practice
Mean/Variance Optimization
4%
6%
8%
10%
12%
14%
2% 4% 6% 8% 10% 12% 14% 16%
Standard Deviation
Rea
l Ret
urn
Practice
Theory
20% Large Stocks8% Small Stocks15% Int'l Stocks10% EM Stocks37% Bonds10% Real Estate
20% Large Stocks70% Bonds10% Real Estate
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Asset Allocation
What is an “Asset Class”?
1970s 1980s 1990s 2000
U.S. Stocks Large Cap StocksSmall Cap StocksInternational Stocks
Large Cap StocksSmall Cap StocksInternational StocksREITs
U.S. StocksInternational Stocks
U.S. Bonds U.S. BondsInternational BondsHigh-Yield Bonds
U.S. BondsInternational BondsHigh-Yield BondsEmerging Market Bonds
Fixed Income
Real EstateTimberlandVenture Capital
Real EstateTimberlandVenture CapitalHedge Funds
Real Estate
Cash Cash Cash
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Asset Allocation
What is an “Asset Class”? — Less is More
• Many asset/liability studies attempt to model too many “asset classes.”
• Mean/variance optimizers are referred to as “error maximizers” for a reason.
• The “Mini-max” approach models the “big picture,” and leaves the finer distinctions to implementation.
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Asset Allocation
Why “Mini-max”?• Small estimation errors can lead to vastly different portfolios.
• There are only a few assets from which we have sufficient history to draw summary statistics.
• “Assets” with little or no passive alternatives and high dispersion are particularly poor choices for modeling.
• Minimize the maximum damage that estimation errors can do to modeling results.
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Asset Allocation
Why “Mini-max”?
6.55% Return, Minimum Variance Portfolio
6.55% Return, Minimum Variance Portfolio
Expected Small CapPremium
LC SC IE FI RE SC/Total Equity
-0.50% 41% 0% 27% 22% 10% 0%0.00% 35% 5% 27% 23% 10% 7%0.50% 25% 13% 25% 27% 10% 21%
Expected InternationalPremium
LC SC IE FI RE IE/Total Equity
-0.50% 47% X 31% 12% 10% 40%0.00% 45% X 30% 15% 10% 40%0.50% 43% X 29% 18% 10% 40%
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Asset-Liability Interaction
Higher Nominal Benefits
HigherLiabilities
HigherInflation
HigherPay
Increases
Lower (Present
Value of) Liabilities
Higher Discount
Rate
Higher Interest
Rates
Lower Value of Financial
Assets
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Process of Asset-Liability Analysis
AssetMix
PortfolioReturn
Liabilities
DemographicsPlan Design
ActuarialAssumptions
ContributionsFunded Ratio
Expense
Inflation
InterestRates
Correlation
FAS 87DiscountRate
SalaryIncreases
Duration
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Good Reasons for Conducting an Asset-Liability Study
• Developing Strategic Asset Allocation Policy
— Equity exposure level
— Duration of bonds
• Pension Planning
— Funding policy
• Understanding Cost and Benefits in Tangible Terms
— Cash costs
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Wrong Reasons for Conducting an Asset-Liability Study
• Evaluating Modest Changes to Sub-asset Classes, e.g.
— Small cap stocks
— Emerging market equities
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Potential Pitfalls in Conducting Asset-Liability Studies (and how to avoid them)
Problem Exclusive focus on a single variable, e.g., Surplus
Solution Focus on “True Economic Cost”
Problem Not everything has a “random walk”
Solution — Take into account autocorrelation of inflation and interest rates
Problem Assets and liabilities are not truly integrated
Solution — Use Monte Carlo simulations to generate assets and liabilities simultaneously
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Potential Pitfalls in Conducting Asset-Liability Studies (and how to avoid them)
Problem Focus on summary statistics, e.g., mean and variance
Solution Focus on the entire distribution of outcomes
Problem Asset-liability results are “all over the place”
Solution Conduct goal-oriented analysis
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True Economic Cost
• True Economic Cost = PV of Change in Funded Status
(times) Value Multiplier
(minus) PV of Contributions
• Value multiplier can range between 0 and 1
• Typically very well funded plan would assign a lower value to the multiplier
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Goal Analysis
Don’t just evaluate the risk (variance) and expected return (mean), evaluate your ability to meet specific goals
Examples
• Minimize True Economic Cost over 10 years
• Keep funded ratio above 100% in each year
• Keep cash contributions below $10 million
• Hold contributions at current levels while adding COL adjustments.
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Asset Allocation
Diversification — The Role of Rebalancing
Diversification Example — No Rebalancing
Diversification Example —With Rebalancing
Asset Year 1 Year 2 Cumulative
Stocks 20.00% -10.00% 8.00%Bonds -10.00% 20.00% 8.00%
50/50 Portfolio 5.00% 2.86% 8.00%
Asset Year 1 Year 2 Cumulative
Stocks 20.00% -10.00% 8.00%Bonds -10.00% 20.00% 8.00%
50/50 Portfolio 5.00% 5.00% 10.25%
Note: The composition of the “No Rebalancing” portfolio is 57.1% stocks and 42.9% bonds at the end of year 1.
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Rebalancing Overview
Why Rebalance?—Investment Policy• During the last five years, rebalancing has
“cost” plan sponsors relative to a “Let Run” policy.
• The strong stock market increased the average equity exposure of a 65%/35% portfolio to 74% during the five years ended 1999.
• The time based and exposure based rebalancing rules resulted in similar results during the last five years.
• The “Let Run” portfolio outperformed both rebalancing rules by 1.6% per year.
• “Let Run” was riskier, but can you “eat” risk adjusted return?
• Why rebalance?
Value of 65%/35% Portfolio
100
150
200
250
300
1995 1996 1997 1998 1999
Wea
lth I
ndex
"Let Run"
Quarterly Rebalancing
5% Proportional Rebalancing
1995 to 1999 Return Risk_Let Run (65%/35%) 22.8% 11.0%Quarterly Rebal. 21.2% 9.4%5% Proportional Rebal. 21.2% 9.3%
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Rebalancing Overview
Why Rebalance?—Investment Policy• You can “eat” risk-adjusted return when it
comes to rebalancing!• Allowing the equity exposure of the
65%/35% portfolio to increase over time results in a portfolio that averages 74% equity.
• Comparing the “Let Run” with rebalanced portfolios is like comparing portfolios with different equity allocations—and contains the same “information.”
• Rather than letting equity exposure “creep,” it is preferable to adopt a higher equity exposure, and rebalance.
Value of 74%/26% Portfolio
100
150
200
250
300
1995 1996 1997 1998 1999
Wea
lth I
ndex
Let RunQuarterly5% Proportional
1995 to 1999 Return Risk__Let Run (65%/35%) 22.8% 11.0%Quarterly Rebal. 23.1% 10.7%5% Proportional Rebal. 23.2% 10.9%
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Asset Allocation
Diversification — The Role of Rebalancing• Most mean/variance models assume that assets are rebalanced back to target
levels at some point.
• Without rebalancing, diversification is incomplete.
• Without rebalancing, the addition of non-correlated assets will reduce volatility, but will not enhance returns.
• A clear policy avoids costly ad-hoc revisions.
• If you do not rebalance, the market will do it for you.
• Rebalancing is a vital part of investment policy.
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Asset Allocation
References
• 1Brinson, Gary P., L Randolph Hood, and Gilbert L. Beebower. 1986. “Determinants of Portfolio Performance.” Financial Analysts Journal, vol. 42, no. 4 (July/August): 39-48.
• 2Brinson, Gary P., L Brian D. Singer, and Gilbert L. Beebower. 1991. “Determinants of Portfolio Performance II: An Update.” Financial Analysts Journal, vol. 47, no. 3 (May/June): 40-48.
• 3Ibbotson, Rodger, Paul D. Kaplan. 2000. “Does Asset Allocation Policy Explain 40, 90, or 100 Percent of Performance?” Financial Analysts Journal, vol. 56, no. 1 (January/February): 26-33.