Description

David Swensen is manager of Yale University's endowment fund. He has addressed how investors should set up and manage their investments in his book, Unconventional Success: A Fundamental Approach to Personal Investment.

The Swensen portfolio consists of six core asset class allocations:

US equity: 30%

Foreign developed equity: 15%

Emerging market equity: 5%

US REITS: 20%

US Treasury bonds: 15%

US TIPS: 15%

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

TotalReturn:

'Total return is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

Using this definition on our asset we see for example:
  • The total return, or performance over 5 years of Yale U's Unconventional Portfolio is 30.5%, which is smaller, thus worse compared to the benchmark SPY (80.9%) in the same period.
  • Compared with SPY (75.3%) in the period of the last 3 years, the total return, or increase in value of 39.5% is lower, thus worse.

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Which means for our asset as example:
  • Looking at the annual performance (CAGR) of 5.5% in the last 5 years of Yale U's Unconventional Portfolio, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (12.6%)
  • Looking at annual return (CAGR) in of 11.8% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (20.7%).

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Using this definition on our asset we see for example:
  • The historical 30 days volatility over 5 years of Yale U's Unconventional Portfolio is 11.6%, which is lower, thus better compared to the benchmark SPY (17%) in the same period.
  • Looking at 30 days standard deviation in of 10.2% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (15%).

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. Risk measures typically quantify the downside risk, whereas the standard deviation (an example of a deviation risk measure) measures both the upside and downside risk. Specifically, downside risk in our definition is the semi-deviation, that is the standard deviation of all negative returns.'

Using this definition on our asset we see for example:
  • The downside volatility over 5 years of Yale U's Unconventional Portfolio is 8.1%, which is smaller, thus better compared to the benchmark SPY (11.7%) in the same period.
  • Compared with SPY (10.1%) in the period of the last 3 years, the downside deviation of 7% is smaller, thus better.

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.6) in the period of the last 5 years, the Sharpe Ratio of 0.26 of Yale U's Unconventional Portfolio is lower, thus worse.
  • During the last 3 years, the Sharpe Ratio is 0.91, which is smaller, thus worse than the value of 1.21 from the benchmark.

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.86) in the period of the last 5 years, the downside risk / excess return profile of 0.37 of Yale U's Unconventional Portfolio is smaller, thus worse.
  • Looking at ratio of annual return and downside deviation in of 1.33 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.81).

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Applying this definition to our asset in some examples:
  • The Ulcer Index over 5 years of Yale U's Unconventional Portfolio is 11 , which is higher, thus worse compared to the benchmark SPY (8.43 ) in the same period.
  • Compared with SPY (3.41 ) in the period of the last 3 years, the Downside risk index of 2.83 is lower, thus better.

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Which means for our asset as example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum drop from peak to valley of -26.2 days of Yale U's Unconventional Portfolio is smaller, thus worse.
  • During the last 3 years, the maximum DrawDown is -11.5 days, which is greater, thus better than the value of -18.8 days from the benchmark.

MaxDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Max Drawdown Duration is the worst (the maximum/longest) amount of time an investment has seen between peaks (equity highs). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Applying this definition to our asset in some examples:
  • Looking at the maximum time in days below previous high water mark of 677 days in the last 5 years of Yale U's Unconventional Portfolio, we see it is relatively larger, thus worse in comparison to the benchmark SPY (488 days)
  • During the last 3 years, the maximum days under water is 120 days, which is larger, thus worse than the value of 87 days from the benchmark.

AveDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Avg Drawdown Duration is the average amount of time an investment has seen between peaks (equity highs), or in other terms the average of time under water of all drawdowns. So in contrast to the Maximum duration it does not measure only one drawdown event but calculates the average of all.'

Applying this definition to our asset in some examples:
  • Looking at the average days under water of 210 days in the last 5 years of Yale U's Unconventional Portfolio, we see it is relatively larger, thus worse in comparison to the benchmark SPY (119 days)
  • Looking at average days below previous high in of 27 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (19 days).

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of Yale U's Unconventional Portfolio are hypothetical and do not account for slippage, fees or taxes.
  • Results may be based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.