Description of Fundadvice Ultimate Buy & Hold

Paul Merriman's Fundadvice Ultimate Buy & Hold. Another Lazy Portfolio that is tracked by MarketWatch.

Merriman describes it: The "ultimate" portfolio starts with the S&P 500 index SPX then adds small and equal portions of nine other very carefully selected U.S. and international asset classes, each one being an excellent long-term vehicle for diversifying. When it's properly done, the result is a low-cost portfolio with massive diversification that will take advantage of market opportunities wherever they are, and at about the same risk as that of the S&P 500."

We track the portfolio using Mutual Funds

VFINX=6%, VFISX=12%, VFITX=20%, VEIEX=6%, VGSIX=6%, NAESX=6%, VISVX=6%, VIVAX=6%, VIPSX=8%, VTMGX=12%, VTRIX=12%

Statistics of Fundadvice Ultimate Buy & Hold (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 over 5 years of Fundadvice Ultimate Buy & Hold is %, which is lower, thus worse compared to the benchmark SPY (65.8%) in the same period.
  • During the last 3 years, the total return, or performance is %, which is lower, thus worse than the value of 48.8% from the benchmark.

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:
  • The annual performance (CAGR) over 5 years of Fundadvice Ultimate Buy & Hold is %, which is smaller, thus worse compared to the benchmark SPY (10.6%) in the same period.
  • During the last 3 years, the annual performance (CAGR) is %, which is smaller, thus worse than the value of 14.2% from the benchmark.

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.'

Which means for our asset as example:
  • Looking at the volatility of % in the last 5 years of Fundadvice Ultimate Buy & Hold, we see it is relatively lower, thus better in comparison to the benchmark SPY (13.6%)
  • During the last 3 years, the historical 30 days volatility is %, which is smaller, thus better than the value of 12.8% from the benchmark.

DownVol:

'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:
  • The downside risk over 5 years of Fundadvice Ultimate Buy & Hold is %, which is lower, thus better compared to the benchmark SPY (15%) in the same period.
  • Compared with SPY (14.6%) in the period of the last 3 years, the downside deviation of % is lower, thus better.

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Which means for our asset as example:
  • The risk / return profile (Sharpe) over 5 years of Fundadvice Ultimate Buy & Hold is , which is lower, thus worse compared to the benchmark SPY (0.6) in the same period.
  • Looking at risk / return profile (Sharpe) in of in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.91).

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:
  • Looking at the excess return divided by the downside deviation of in the last 5 years of Fundadvice Ultimate Buy & Hold, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.54)
  • Looking at excess return divided by the downside deviation in of in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.8).

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.'

Which means for our asset as example:
  • The Downside risk index over 5 years of Fundadvice Ultimate Buy & Hold is , which is smaller, thus better compared to the benchmark SPY (4.03 ) in the same period.
  • Looking at Ulcer Ratio in of in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (4.1 ).

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:
  • The maximum drop from peak to valley over 5 years of Fundadvice Ultimate Buy & Hold is days, which is larger, thus better compared to the benchmark SPY (-19.3 days) in the same period.
  • Compared with SPY (-19.3 days) in the period of the last 3 years, the maximum drop from peak to valley of days is higher, thus better.

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) in days.'

Using this definition on our asset we see for example:
  • The maximum time in days below previous high water mark over 5 years of Fundadvice Ultimate Buy & Hold is days, which is smaller, thus better compared to the benchmark SPY (187 days) in the same period.
  • Compared with SPY (139 days) in the period of the last 3 years, the maximum days under water of days is smaller, 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.'

Applying this definition to our asset in some examples:
  • Looking at the average time in days below previous high water mark of days in the last 5 years of Fundadvice Ultimate Buy & Hold, we see it is relatively lower, thus better in comparison to the benchmark SPY (41 days)
  • Looking at average days below previous high in of days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (35 days).

Performance of Fundadvice Ultimate Buy & Hold (YTD)

Historical returns have been extended using synthetic data.

Allocations of Fundadvice Ultimate Buy & Hold
()

Allocations

Returns of Fundadvice Ultimate Buy & Hold (%)

  • "Year" returns in the table above are not equal to the sum of monthly returns due to compounding.
  • Performance results of Fundadvice Ultimate Buy & Hold 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.