Strategies in Tactical Asset Allocation

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The focus on my articles thus far has been a passive buy and hold approach to investing - essentially, how you divvy up your pie into slices of world asset classes. However, an active approach to asset allocation may offer some value. Tactical Asset Allocation is defined by Investopedia as an:

"Active management portfolio strategy that rebalances the percentage of assets held in various categories in order to take advantage of market pricing anomalies or strong market sectors. "

What is that exactly? Three great reviews explain:

Global Tactical Asset Allocation
[GTAA] - Goldman Sachs (NYSE:GS)
Manufacturing Alpha from Beta - Integra Capital
TAA Comes Back from the Dead - Goldman Sachs

The Goldman overview states that, in essence, GTAA aims to:

• Improve the overall return per unit of risk [information ratio] in a client’s portfolio through active management of asset allocation deviations
• Generate excess returns uncorrelated with traditional sources of active risk
• Meet individual clients’ needs and objectives through customized portfolios
• Employ minimal capital with limited disruption to underlying managers

There a couple ways to enact GTAA, and the most common are 1) value and mean reversion strategies, and 2) momentum and trend-following strategies.

Essentially, GTAA is market timing. Historical evidence has provided a mixed bag of evidence of the ability of market timers. One of the best literature reviews of the subject is Evaluating a Stock Market Timing Strategy: The Case of RTE Asset Management, by Tezel and McManus [2001].

In the Goldman Sachs GTAA primer, they describe some empirical evidence of GTAA using valuation and momentum factors. They form equal weighted portfolios withing each asset class [equities, fixed income, and currencies] based on 1) Valuation based on Price to Book [P/B]for equities, yield curve for fixed income, and purchasing power parity for currencies, and 2) Momentum as measured by 12-month returns.

They form long/short portfolios with equally-weighted long positions in the one third of countries with the lowest valuation [or highest momentum] and short positions in the third with the highest valuation [lowest momentum].

They find that the momentum and valuation effect are robust across all three asset classes.

Below I will present a simple quantitative method that exploits momentum in relative returns across a wide set of asset classes. The strategy is examined since 1972 in an allocation framework utilizing a combination of diverse and publicly traded asset class indices including US Stocks [S&P 500 (NYSEARCA:SPY)], Foreign Stocks [MSCI EAFE] (NYSEARCA:EFA), Commodities [GSCI], REITs [NAREIT], Cash [90-Day Commercial Paper], and United States Government Bonds [10-Year Treasury Bonds] (NYSEARCA:IEF).

S&P 500 90 day gsci bonds - return graph

The most simple measure of momentum I can think of [and the one cited in the GS primer] is trailing 12-month absolute returns. To make matters even simpler, and improve the tax consequences, the system will only update once every year at year end. You begin with a simple ranking of absolute performance - the example to the right is year end 1980.

Your holdings for the next year would be ranked in that order, with US Stocks at the top, and Bonds at the bottom. How has this simple ranking performed? From 1973 [I had to use 1972 at the first year for ranking] through 2005, and equal weighted portfolio of the 6 asset classes above, rebalanced yearly would have returned a respectable 11.16% p.a.

However, as evidenced in the chart below, the top performing asset class [#1] had a one-year subsequent performance of 18.73%. Almost a doubling of annual return, albeit with much more volatility and a higher negative year. #2, #3 etc all represent the following years performance for the #2, #3 best ranked absolute performance; ie, in 1980, the #3 best performer was foreign stocks [MSCI, EAFE] at 24.43%. You would then be long MSCI EAFE in the #3 bucket for 1981...It is interesting to note that buckets 4-6 all underperform the portfolio, evidence of momentum on the downside as well.

avg return stdev

If you can't read the table, below is a chart of the returns. . .while it is not the perfect stair-step down one would prefer, you do see the general trend of declining returns from bucket #1 to bucket #2.

Although 18.73% returns are spectacular, some investors might not be able to handle the risk involved in investing in only one asset class. The Top 2 and Top 3 portfolios [holding the top 2 and top 3 asset classes, equally weighted] each outperform the benchmark [labeled "All" in the chart] on both an absolute and risk adjusted basis.

Avg return chart

The optimum risk-adjusted portfolio is the Top 3 asset portfolio, returning over 250 bps more than the equal weighted with slightly higher volatility, and only 2 down years since 1973 – and a worst year of only -[3.64]%.

$100 invested in the 6 asset class portfolio would be worth $3003.03 year end 2005, while $100 invested in the Top1 strategy would be worth $17,333.15.

Risk Adjusted portfolio

Example ETFs reflecting the asset classes discussed in article are:


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