Description

This portfolio has been optimized for achieving the lowest possible historical volatility over the analyzed period with the involved assets. As such, it exhibits the least risk of all our portfolios, and is therefore suited especially for very risk adverse investors with conservative growth expectations.

Please note that this portfolio might use leveraged ETF and single stocks. Should these not be allowed in your retirement account please see our 401k and IRS compatible Conservative, Moderate, and Aggressive Risk Portfolios. Contact us for special requirements.

Methodology & Assets
This portfolio is constructed by our proprietary optimization algorithm based on Modern Portfolio Theory pioneered by Nobel Laureate Harry Markowitz. Using historical returns, the algorithm finds the asset allocation that produced the lowest volatility.

While this portfolio provides an optimized asset allocation based on historical returns, your investment objectives, risk profile and personal experience are important factors when deciding on the best investment vehicle for yourself. You can also use the Portfolio Builder or Portfolio Optimizer to construct your own personalized portfolio.

Assets and weight constraints used in the optimizer process:
  • Bond ETF Rotation Strategy (BRS) (0% to 100%)
  • BUG Permanent Portfolio Strategy (BUG) (0% to 100%)
  • Global Market Rotation Strategy (GMRS) (0% to 100%)
  • Global Sector Rotation Strategy (GSRS) (0% to 100%)
  • Maximum Yield Strategy (MYRS) (0% to 100%)
  • Short Term Bond Strategy (STBS) (0% to 50%)
  • Universal Investment Strategy (UIS) (0% to 100%)
  • Universal Investment Strategy 2x Leverage (UISx2) (0% to 100%)
  • US Market Strategy (USMarket) (0% to 100%)
  • US Market Strategy 2x Leverage (USMx2) (0% to 100%)
  • US Sector Rotation Strategy (USSECT) (0% to 100%)
  • World Top 4 Strategy (WTOP4) (0% to 100%)

Statistics (YTD)

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

TotalReturn:

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Using this definition on our asset we see for example:
  • Looking at the total return, or increase in value of 34.9% in the last 5 years of Minimum Volatility Portfolio, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (94.2%)
  • Compared with SPY (27.9%) in the period of the last 3 years, the total return of 11.6% is lower, thus worse.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (14.2%) in the period of the last 5 years, the annual return (CAGR) of 6.2% of Minimum Volatility Portfolio is lower, thus worse.
  • Compared with SPY (8.6%) in the period of the last 3 years, the annual return (CAGR) of 3.7% is smaller, thus worse.

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Applying this definition to our asset in some examples:
  • The 30 days standard deviation over 5 years of Minimum Volatility Portfolio is 4.6%, which is lower, thus better compared to the benchmark SPY (20.9%) in the same period.
  • Compared with SPY (17.3%) in the period of the last 3 years, the 30 days standard deviation of 2.8% is lower, thus better.

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.'

Applying this definition to our asset in some examples:
  • The downside volatility over 5 years of Minimum Volatility Portfolio is 3.4%, which is lower, thus better compared to the benchmark SPY (15%) in the same period.
  • Looking at downside volatility in of 1.8% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (12.1%).

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:
  • Looking at the ratio of return and volatility (Sharpe) of 0.8 in the last 5 years of Minimum Volatility Portfolio, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.56)
  • Looking at Sharpe Ratio in of 0.44 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.35).

Sortino:

'The Sortino ratio, a variation of the Sharpe ratio only factors in the downside, or negative volatility, rather than the total volatility used in calculating the Sharpe ratio. The theory behind the Sortino variation is that upside volatility is a plus for the investment, and it, therefore, should not be included in the risk calculation. Therefore, the Sortino ratio takes upside volatility out of the equation and uses only the downside standard deviation in its calculation instead of the total standard deviation that is used in calculating the Sharpe ratio.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.78) in the period of the last 5 years, the excess return divided by the downside deviation of 1.08 of Minimum Volatility Portfolio is larger, thus better.
  • Compared with SPY (0.5) in the period of the last 3 years, the downside risk / excess return profile of 0.68 is greater, thus better.

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 Ratio over 5 years of Minimum Volatility Portfolio is 1.48 , which is lower, thus better compared to the benchmark SPY (9.32 ) in the same period.
  • Looking at Ulcer Ratio in of 1.13 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (10 ).

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Using this definition on our asset we see for example:
  • The maximum DrawDown over 5 years of Minimum Volatility Portfolio is -12.1 days, which is greater, thus better compared to the benchmark SPY (-33.7 days) in the same period.
  • Looking at maximum drop from peak to valley in of -2.7 days in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (-24.5 days).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 291 days of Minimum Volatility Portfolio is smaller, thus better.
  • Looking at maximum time in days below previous high water mark in of 291 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (488 days).

AveDuration:

'The Average 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. 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.'

Which means for our asset as example:
  • The average days below previous high over 5 years of Minimum Volatility Portfolio is 59 days, which is lower, thus better compared to the benchmark SPY (123 days) in the same period.
  • Compared with SPY (180 days) in the period of the last 3 years, the average time in days below previous high water mark of 77 days is lower, thus better.

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 Minimum Volatility 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.