Description of Coffeehouse Portfolio

The Coffeehouse Portfolio was popularized by financial advisor Bill Schultheis in the best-selling book The Coffeehouse Investor. It is part of what we could call "Lazy Portfolios".

The Coffeehouse Portfolio consists of 7 funds. It starts with a 60/40 stock bond allocation. The 60% in stocks is allocated to a large-cap fund, a large-cap value fund, a small-cap fund, a small-cap value fund, an international fund, and a REIT fund.

Asset Class Portfolio Weight

Large Cap 10%
Large Cap Value 10%
Small Cap 10%
Small Cap Value 10%
International 10%
REIT 10%
Total Bond 40%

Statistics of Coffeehouse Portfolio (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:
  • Looking at the total return, or increase in value of % in the last 5 years of Coffeehouse Portfolio, we see it is relatively lower, thus worse in comparison to the benchmark SPY (64.1%)
  • Looking at total return, or increase in value in of % in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (48.1%).

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.'

Applying this definition to our asset in some examples:
  • The compounded annual growth rate (CAGR) over 5 years of Coffeehouse Portfolio is %, which is lower, thus worse compared to the benchmark SPY (10.4%) in the same period.
  • Compared with SPY (14%) in the period of the last 3 years, the annual performance (CAGR) of % is lower, thus worse.

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Applying this definition to our asset in some examples:
  • The 30 days standard deviation over 5 years of Coffeehouse Portfolio is %, which is smaller, thus better compared to the benchmark SPY (13.6%) in the same period.
  • During the last 3 years, the 30 days standard deviation is %, which is lower, thus better than the value of 12.8% from the benchmark.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (14.9%) in the period of the last 5 years, the downside volatility of % of Coffeehouse Portfolio is lower, thus better.
  • During the last 3 years, the downside volatility is %, which is lower, thus better than the value of 14.5% from the benchmark.

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.58) in the period of the last 5 years, the risk / return profile (Sharpe) of of Coffeehouse Portfolio is lower, thus worse.
  • Looking at ratio of return and volatility (Sharpe) in of in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.9).

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Which means for our asset as example:
  • The ratio of annual return and downside deviation over 5 years of Coffeehouse Portfolio is , which is smaller, thus worse compared to the benchmark SPY (0.53) in the same period.
  • Compared with SPY (0.79) in the period of the last 3 years, the downside risk / excess return profile of is smaller, thus worse.

Ulcer:

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Applying this definition to our asset in some examples:
  • The Ulcer Index over 5 years of Coffeehouse Portfolio is , which is lower, thus better compared to the benchmark SPY (4.02 ) in the same period.
  • Compared with SPY (4.09 ) in the period of the last 3 years, the Ulcer Index of is smaller, thus better.

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-19.3 days) in the period of the last 5 years, the maximum reduction from previous high of days of Coffeehouse Portfolio is greater, thus better.
  • Compared with SPY (-19.3 days) in the period of the last 3 years, the maximum reduction from previous high of days is higher, thus better.

MaxDuration:

'The Maximum Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Which means for our asset as example:
  • Compared with the benchmark SPY (187 days) in the period of the last 5 years, the maximum days under water of days of Coffeehouse Portfolio is lower, thus better.
  • Compared with SPY (139 days) in the period of the last 3 years, the maximum time in days below previous high water mark of days is lower, thus better.

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.'

Using this definition on our asset we see for example:
  • Looking at the average days below previous high of days in the last 5 years of Coffeehouse Portfolio, we see it is relatively lower, thus better in comparison to the benchmark SPY (41 days)
  • During the last 3 years, the average days below previous high is days, which is lower, thus better than the value of 35 days from the benchmark.

Performance of Coffeehouse Portfolio (YTD)

Historical returns have been extended using synthetic data.

Allocations of Coffeehouse Portfolio
()

Allocations

Returns of Coffeehouse Portfolio (%)

  • "Year" returns in the table above are not equal to the sum of monthly returns due to compounding.
  • Performance results of Coffeehouse Portfolio are hypothetical, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.