Alternative Investments. Black Keith H.

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      The returns from strategic asset allocation are measured by multiplying the targeted long-term asset allocation weights by the benchmark returns to each asset class. Security selection is defined as the return within asset classes relative to a benchmark, such as the return to the domestic fixed-income portfolio when compared to the domestic fixed-income benchmark. Market timing is measured as the return earned from the variation of asset class weights versus the policy or target asset class weights. Value is added from market timing, or tactical asset allocation, when the returns to overweighted asset classes outperform the returns to underweighted asset classes. For example, when the actual equity allocation is 42 % and the target equity allocation is 40 %, the return to market timing is positive when the equity index outperforms the returns of the other asset classes in the portfolio.

      Swensen (2009) explains the role of tactical asset allocation and rebalancing. Investors are encouraged to be contrarian and consider valuation when making allocations. Rather than considering what his peers were doing, Swensen entered alternative asset classes earlier and more aggressively than did other institutional investors. In contrast to the common practice of increasing allocations to asset classes after a period of outperformance, Swensen sought to aggressively rebalance (i.e., transact so as to cause portfolio weights to return to prespecified values) to strategic asset allocation weights by selling outperforming asset classes and buying underperforming ones. This can be psychologically difficult, as it requires buying equities during a crash and selling certain assets when other investors are clamoring to increase their allocations to those assets. Market timing between risky and less risky asset classes, such as equities versus cash, can be dangerous due to the large difference in expected returns. While generally eschewing market timing, Swensen suggests tilting the portfolio toward undervalued assets and away from overvalued assets between asset classes with similar long-term return expectations, such as real estate and natural resources. Rebalancing can add significant value, so Swensen sought to aggressively rebalance in real time. In a volatile year, such as 2003, Yale's rebalancing activity added as much as 1.6 % to annual returns.

      Brown, Garlappi, and Tiu (2010) analyze the returns to endowment funds over the period 1984 to 2005 and find a much different story than that seen in prior literature regarding return attribution in pension plans. This study shows that just 74.2 % of the returns can be explained by the endowment's strategic asset allocation. With market timing explaining 14.6 % of returns, and security selection explaining 8.4 %, endowment funds show a much larger contribution to returns from dynamic asset allocation and manager selection.

      While it can be easy to replicate the asset allocation of endowment funds, investors seeking to emulate the success of the endowment model will find it much more difficult to profit from market timing and security selection. One reason may be that while pension plans are seen to focus largely on passive allocations within each asset class, endowment funds place a much greater emphasis on manager selection. Brown, Garlappi, and Tiu also find that the return from policy allocation is quite similar across endowments. The contribution from asset allocation explains just 15.3 % of the return differences across endowments, while selection explains 72.8 % and timing contributes just 2.5 %. The endowment model, then, does not seem to be an asset allocation story but rather a story of superior manager selection.

      3.4.2 Effective Investment Manager Research

      From a risk-budgeting perspective, many endowment managers prefer to spend the majority of their active risk budget in alternatives. On average, these large investors allocate to eight managers within traditional asset classes and more than 11 managers in alternative asset classes. Endowments have exploited both their networks of successful alumni and their first-mover advantage in allocating to the best-performing managers, many of whom have now closed their funds to new investors. While common wisdom assumes that the sole secret to endowment success is the large allocation to alternative investments, the top endowments enhance performance further by allocating to managers who outperform. In fact, the largest endowments have historically outperformed in nearly every asset class, both traditional and alternative. Those investors seeking to replicate the success of endowments should be cautioned that although this outperformance within asset classes can add up to 2 % per year to performance, it is unlikely to be replicated by an alternatives-heavy allocation if investors lack the talented staff and valuable network of invested managers that many endowments have cultivated.

      An examination of university annual reports shows that in addition to an alternatives-heavy asset allocation, which can enhance returns and reduce risk, many universities have superior security selection and manager selection skills. This skill, or high risk tolerance, is seen when examining the return in each asset class portfolio compared to that asset class's benchmark. Harvard's 2014 annual report shows that returns beat asset class benchmarks annually over five years, including 1.9 % in real assets and 3.9 % in absolute return, while falling 0.5 % behind the private equity benchmark. Even in the asset classes considered to be most efficiently priced, such as publicly traded equity and fixed income, Harvard outperformed annually by 0.6 % and 2.9 %, respectively, over the same period. In total, Harvard's entire endowment portfolio beat the return on the asset-weighted benchmark by 1.4 % annually, adding more than $1 billion in excess returns in just five years.

      Swensen (2009) demonstrates the importance of manager selection within the alternative investment universe. In liquid, efficient markets, the dispersion of returns across asset managers is relatively small. For example, in U.S. fixed income over the 10-year period ending in 2005, there was a mere 0.5 % difference in returns between managers at the first and third quartiles of returns. Equity markets have return dispersion across managers of between 1.9 % and 4.8 %. Pension plans often invest in passive index funds rather than with active managers in traditional asset classes. However, index funds are generally unavailable in most alternative investment asset classes. Siegel (2008) cites literature that documents the difference in annual returns between managers ranked at the 25th and 75th percentiles. These numbers are relatively small in traditional assets, with 0.5 % in fixed income, 2.7 % in U.S. equity, and 3.9 % in non-U.S. equity.

      In contrast, the value added by active managers in alternative investments can be quite substantial. In inefficient markets, managers have a greater opportunity to profit from skill, information, and access to deal flow. Dispersion in alternative investments is much higher, with 7.4 % in hedge funds, 14.2 % in private equity buyouts, and 35.6 % in venture capital. In many cases, especially in private equity, investments are not attractive when investing in the median manager. In order for a private equity investment to outperform public equity on a risk-adjusted basis and adequately compensate for the liquidity СКАЧАТЬ