An ALM Example: A Defined-Benefit Pension Plan
For a DB pension plan, net worth is called pension surplus. The funding ratio, calculated by dividing the value of pension assets by the present value of pension liabilities, measures the relative size of pension assets compared with pension liabilities. Some countries state requirements pertaining to pension plan contributions in terms of the funding ratio.
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.
Asset Allocation and Human Capital
Individual investors, strategic asset allocation must also consider human capital.
Several intuitive theoretical conclusions:
Investors with a higher degree of labor flexibility should take more risk in their investment portfolios. The intuition is that labor flexibility can function as a kind of insurance against adverse investment outcomes; for example, working longer hours or retiring later can help offset investment losses. Younger investors typically have such flexibility.
Risky human capital may have two components: a component correlated with stock market returns and a component uncorrelated with stock market returns. The two types affect the asset allocation decision differently.
When the investor’s labor income is risky but not correlated with the stock market, the investor’s optimal strategic asset allocation over time follows by and large the same pattern as the case where the investor’s human capital is risk free—so long as the risk of human capital (i.e., income variance over time) is small. This effect occurs because the investor’s human capital does not add to his or her stock market exposure. When the risk of uncorrelated human capital is substantial, however, the investor’s optimal allocation to stocks is less than it would be otherwise, all else equal.
By contrast, when a large part of an investor’s human capital is correlated with the stock market, the appropriate strategic asset allocation involves a much higher allocation to bonds at young ages.
In summary, to effectively incorporate human capital in developing the appropriate asset allocation, an individual’s investment advisor must determine 1) whether the investor’s human capital is risk-free or risky and 2) whether the human capital’s risk is highly correlated with the stock market. Advisors should keep in mind the following themes:
Weaknesses of the Fed model?
The Fed model has the following weaknesses:
The Resampled Efficient Frontier
Strategic Asset Allocation Implementation Choices
A passive position can be implemented through:
Active investing can be implemented through:
Semiactive investing can be implemented through (among other methods):
There are several explanations why growth does not translate into higher equity returns in emerging markets…
There are several explanations why growth does not translate into higher equity returns in emerging markets:
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.
Strategic versus Tactical Asset Allocation
Qualitative and quantitative return objectives of investors
Investors have both qualitative and quantitative investment objectives.
Alternative Investments
One concern for many investors, however, is the availability of resources to directly or indirectly research investment in these groups.
Risks of International Assets
Strategic asset allocation reflects what systematic risk exposure?
Strategic asset allocation reflects the investor`s desired systematic risk exposure.
Experience-Based Approaches to Asset allocation
ALM approach and AO approach, definition
The ALM approach tends to be favored when…
In general, the ALM approach tends to be favored when:
Opportunities in International Assets
Costs of International Assets
SAA for Defined-Benefit Plans
Plan sponsors typically face a range of constraints motivated by regulatory and liquidity concerns.
From an ALM perspective, the following are desirable characteristics for an asset allocation:
In either an ALM or AO approach, if pension liabilities are fixed in nominal terms, inflation is not a concern. Otherwise, the advisor needs to consider how much inflation protection the asset allocation is expected to afford.
Steps in the BL Model
1. Define equilibrium market weights and covariance matrix for all asset classes.
Purpose: Inputs for calculating equilibrium expected returns
2. Back-solve equilibrium expected returns
Purpose: Form the neutral starting point for formulating expected returns
3. Express views and confidence for each view
Purpose: Reflect the investor’s expectations for various asset classes; the confidence level assigned to each view determines the weight placed on it
4. Calculate the view-adjusted market equilibrium returns
Purpose: Form the expected return that reflects both market equilibrium and views
5. Run mean–variance optimization
Purpose: Obtain efficient frontier and portfolios
The first step in the BL model is to calculate the equilibrium returns, because the model uses those returns as a neutral starting point. Because we cannot observe equilibrium returns, we must estimate them based on the capital market weights of asset classes and the asset-class covariance matrix.
Incorporating equilibrium returns has two major advantages.
The BL model largely mitigates the problem of estimation error-maximization by spreading any such errors throughout the entire set of expected returns.
Asset/Liability Modeling with Simulation
Managers often use Monte Carlo simulation together with surplus optimization (or sometimes standard mean–variance optimization) to provide more detailed insight on the performance of asset allocations under consideration. Simulation is particularly important for investors with long time horizons, because the MVO or surplus optimization is essentially a one-period model.
A simple asset allocation approach that blends surplus optimization with Monte Carlo simulation follows these steps:
The first step in the three-step ALM employs the model presented in Sharpe (1990). The objective function is to maximize the risk-adjusted future value of the surplus (or net worth). Formally, in a mean–variance context, doing so amounts to maximizing the difference between the expected change in future surplus and a risk penalty. The risk penalty is a function of the variance of changes in surplus value and the investor’s risk tolerance (or risk aversion).
UALMm=E(SRm)−0.005RAσ2(SRm)
where:
UALMm = the surplus objective function’s expected value for a particular asset mix m, for a particular investor with the specified risk aversion
E(SRm) = expected surplus return for asset mix m, with surplus return defined as (change in asset value – change in liability value)/(initial asset value)
σ2(SRm) = variance of the surplus return for the asset mix m
RA = risk-aversion level
SAA for Foundations and Endowments
Fiduciaries of endowments and foundations should focus on developing and adhering to appropriate long-term investment and asset allocation policies. Low-cost, easy-to-monitor, passive investment strategies are often their primary approach to implementing a strategic asset allocation.
Because of limited resources to fund the costs and complexities of due diligence, small endowments have a constrained investment opportunity set compared with large endowments.
The Unconstrained MVF
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.