Strategic asset allocation and Tactical asset allocation, definition
Key economic role of strategic asset allocation due to observations
The strategic asset allocation specifies the investor’s desired exposures to systematic risk
Strategic asset allocation vs. horse race system
Strategic versus Tactical Asset Allocation
The Empirical Debate on the Importance of Asset Allocation
ALM approach and AO approach, definition
Cash flow matching and Immunization, definitions
Dynamic approach and Static approach, definitions
The ALM approach tends to be favored when…
In general, the ALM approach tends to be favored when:
Characteristic Liability Concerns of Various Investors
Type of Investor: Individual
Type of Liability (Quasi-Liability): Taxes, mortgage payments (living expenses, wealth accumulation targets)
Penalty for Not Meeting: Varies
Asset Allocation Approach in Practice: AO most common, ALM
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Type of Investor: Pension plans (defined benefit)
Type of Liability (Quasi-Liability): Pension benefits
Penalty for Not Meeting: High, legal and regulatory
Asset Allocation Approach in Practice: ALM, AO
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Type of Investor: Pension plans (defined contribution)
Type of Liability (Quasi-Liability): Retirement needs
Penalty for Not Meeting: Varies
Asset Allocation Approach in Practice: Integrated with individual’s asset allocation approach
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Type of Investor: Foundations and endowments
Type of Liability (Quasi-Liability): Spending commitments, capital project commitments
Penalty for Not Meeting: High
Asset Allocation Approach in Practice: AO, ALM
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Type of Investor: Life insurance companies
Type of Liability (Quasi-Liability): Death proceeds, annuity payments, return guarantees on investment products
Penalty for Not Meeting: Very high, legal and regulatory
Asset Allocation Approach in Practice: ALM
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Type of Investor: Non-life insurance companies
Type of Liability (Quasi-Liability): Property and liability claims
Penalty for Not Meeting: Very high, legal and regulatory
Asset Allocation Approach in Practice: ALM
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Type of Investor: Banks
Type of Liability (Quasi-Liability): Deposits
Penalty for Not Meeting: Very high, legal and regulatory
Asset Allocation Approach in Practice: ALM
Qualitative and quantitative return objectives of investors
Investors have both qualitative and quantitative investment objectives.
Additive vs. compound formulation of a return objective
Numerical risk aversion
Numerical risk aversion can be measured in an interview or questionnaire in which the investor expresses preferences among sets of choices involving risky and certain returns. Risk aversion is the inverse of risk tolerance: A lower value of risk aversion means a higher tolerance for risk. To give approximate guidelines for the scale we will use, an RA of 6 to 8 represents a high degree of risk aversion (i.e., a low risk tolerance), while an RA of 1 to 2 represents a relatively low degree of risk aversion (i.e., a high risk tolerance).
Um=E(Rm)−0.005RAσ<span>2</span><span>m</span>
where:
Um = the investor’s expected utility for asset mix m
E(Rm) = expected return for mix m
RA = the investor’s risk aversion
σ2m = variance of return for mix m
In equation, E(Rm) and σm are expressed as percentages rather than as decimals.
Shortfall risk, downside risk, Roy’s safety-first criterion
Another way for an investor to quantify risk is in terms of shortfall risk, the risk that a portfolio’s value will fall below some minimum acceptable level during a stated time horizon.
Shortfall risk is one example of the larger concept of downside risk (risk relating to losses or worse than expected outcomes only). Downside risk concepts include not only shortfall risk but concepts such as semivariance and target semivariance that also may be applied in asset allocation and are discussed in statistical textbooks (as well as defined in the glossary).
The oldest shortfall risk criterion is Roy’s safety-first criterion. Roy’s safety-first criterion states that the optimal portfolio minimizes the probability over a stated time horizon that portfolio return, RP, will fall below some threshold level RL that the investor insists on meeting or exceeding. The safety-first optimal portfolio maximizes the safety-first ratio (SFRatio):
SFRatio=(E(RP)−RL)/σP
Another shortfall risk approach. An investor could also specify a given maximum probability of not meeting a return threshold. That probability can be translated into a standard deviation test, if we assume a normal distribution of portfolio returns. For example, suppose that a 2.5 percent probability of failing to meet a return threshold is acceptable. Given a normal distribution of returns, the probability of a return that is more than two standard deviations below the expected return is approximately 2.5 percent. Therefore, if we subtract two standard deviations from a portfolio’s expected return and the resulting number is above the client’s return threshold, the resulting portfolio passes that shortfall risk test. If the resulting number falls below the client’s threshold, the portfolio does not pass that shortfall risk test. Shortfall probability levels of 5 percent and 10 percent translate into 1.65 and 1.28 standard deviations below the mean, respectively, under a normality assumption.
Behavioral Influences on Asset Allocation
Criteria for Specifying Asset Classes
Five criteria that will help in effectively specifying asset classes:
The criticism of relying on pairwise correlations for risk-control purposes
Traditional asset classes include…
Traditional asset classes include the following:
Adding the asset class to the portfolio is optimal if….
Adding the asset class (denoted new) to the portfolio is optimal if the following condition is met:
(E(Rnew)−RF)/σnew>([E(Rp)−RF]/σp)Corr(Rnew,Rp)
This expression says that for the investor to gain by adding the asset class, that asset class’s Sharpe ratio must exceed the product of the existing portfolio’s Sharpe ratio and the correlation of the asset class’s return with the current portfolio’s return.
Risks of International Assets
Costs of International Assets
Opportunities in International Assets
Conditional Return Correlations
Global correlations tend to increase in times of increased volatility. Correlations appear to depend on, i.e., are conditional on, global volatility.
Investment Characteristics of Emerging Markets
Investing in emerging markets entails issues and risks that are not present or as pronounced in the developed world. The most prominent concerns are those of investability, non-normality and dilution in returns, the growth illusion, corporate governance, contagion, currency issues, institutional investor and analyst performance, and changes from market integration.