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GSAM Connect 
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September 30, 2015

GSAM Connect | September 30, 2015

Income Portfolios: In Search of Longevity

How can income-oriented investors help their income potential last? We believe a close eye on risk can be crucial. Investors who seek improved portfolio longevity should, in our view, understand the role that lower overall portfolio risk can play in helping portfolios last longer – since lasting longer can mean a greater potential to distribute cash over time. In particular, we would like to highlight the link between lower volatility1 and portfolio longevity.

At Goldman Sachs Asset Management, our analysis to illustrate this link (Exhibit One) used historical data to construct millions of potential 30-year investment horizons for portfolios with similar returns, but different levels of risk.

In this analysis, a $1 million “low volatility” portfolio comprised of 55% global equity and 45% global fixed income lasted 30 years or longer distributing 4% annual income more than four out of five times (83% of the time).

In cases when the low-volatility portfolio lasted exactly 30 years (the 17th percentile outcome), we found that higher volatility portfolios were depleted earlier – potentially years earlier – depriving investors of income toward the later years of the portfolio’s lifespan. (The 4% level is used for purposes of illustrating a representative income target level.)

In this analysis, a “mid volatility” portfolio (70% global equities and 30% global fixed income) was, on average, depleted 3.5 years earlier than the low volatility portfolio. And a “high volatility” portfolio (85% global equities, 15% global fixed income) was depleted about six years earlier.

As Exhibit 1 shows, these differing time spans mean that portfolios can deliver markedly different sums of income over their total lives. For instance, the low-volatility portfolio lasting exactly thirty years would have distributed about $1.8 million over the entire time period, while the mid- and high-volatility portfolios, exhausted years earlier, distributed less.

We believe investors should understand the role that risk can play in determining a portfolio’s income potential – especially when it comes to a portfolio’s potential to distribute income over time.


EXHIBIT 1: SEEKING IMPROVED PORTFOLIO LONGEVITY

Source: GSAM SAS/Portfolio Strategy, 2015. Growth of and distributions from a $1 million portfolio: A graphical measurement of a portfolio's gross return that simulates the performance of an initial investment of $1MM over the given time period. The example provided does not reflect the deduction of investment advisory fees and expenses which would reduce an investor's return. Please be advised that since this example is calculated gross of fees and expenses the compounding effect of an investment manager's fees are not taken into consideration and the deduction of such fees would have a significant impact on the returns the greater the time period and as such the value of the $1MM if calculated on a net basis, would be significantly lower than shown in this example. Dollar Distributions after Year 1 indexed to the specified inflation level. We acknowledge this simulation is not a perfect representation of future results, we are drawing repeatedly from 18 years of data (1997-2014) so results are subject to historical biases. As a result we also acknowledge that investors should not place emphasis on only median or bottom quartile outcomes, but instead should consider the distributions of potential outcomes to temper historical biases. The simulated returns were created with the benefit of hindsight. “Low Volatility” portfolio is composed of 55% Global Equity and 45% Global Fixed Income. “Mid Volatility” portfolio is composed of 70% Global Equity and 30% Global Fixed Income. “High Volatility” portfolio is composed of 85% Global Equity and 15% Global Fixed Income. Global Equity is represented by the MSCI World Gross Return, Global Aggregate Fixed Income is represented by the Barclays Global Aggregate Total Return Index Value Hedged USD. Distributions reflect one million repetitions of hypothetical 30-year monthly returns, randomly sampled from monthly data from Jan 1997 to Dec 2014. Simulated performance results do not reflect actual trading and have inherent limitations. Please see additional disclosures. Any changes will have an impact on the hypothetical historical performance results, which could be material. Hypothetical performance results have many inherent limitations and no representation is being made that any investor will, or is likely to achieve, performance similar to that shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved. “Low Volatility”, “Mid Volatility”, and “High Volatility” portfolios composed as defined at the end of this article. These illustrations do not reflect the performance of any GSAM product and are being shown for informational purposes only. Returns and volatilities for each portfolio represent the underlying indices blended at their respective weights. Past performance does not guarantee future results, which may vary. 


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