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%)
  • World Top 4 Strategy (WTOP4) (0% to 100%)
  • Global Sector Rotation Strategy (GSRS) (0% to 100%)
  • Global Market Rotation Strategy (GMRS) (0% to 100%)
  • Maximum Yield Strategy (MYRS) (0% to 100%)
  • NASDAQ 100 Strategy (NAS100) (0% to 100%)
  • Leveraged Gold-Currency Strategy (GLD-USD) (0% to 100%)
  • US Sector Rotation Strategy (USSECT) (0% to 100%)
  • Leveraged Universal Investment Strategy (UISx3) (0% to 100%)
  • US Market Strategy (USMarket) (0% to 100%)
  • Dow 30 Strategy (DOW30) (0% to 100%)
  • Universal Investment Strategy (UIS) (0% to 100%)

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:
  • Compared with the benchmark SPY (36.4%) in the period of the last 5 years, the total return, or increase in value of 50.2% of Minimum Volatility Portfolio is greater, thus better.
  • Compared with SPY (14.9%) in the period of the last 3 years, the total return, or performance of 22.6% is higher, thus better.

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 annual return (CAGR) over 5 years of Minimum Volatility Portfolio is 8.5%, which is higher, thus better compared to the benchmark SPY (6.4%) in the same period.
  • During the last 3 years, the annual return (CAGR) is 7%, which is higher, thus better than the value of 4.7% from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Looking at the volatility of 6.2% in the last 5 years of Minimum Volatility Portfolio, we see it is relatively lower, thus better in comparison to the benchmark SPY (17.8%)
  • Compared with SPY (20%) in the period of the last 3 years, the 30 days standard deviation of 6.8% is lower, thus better.

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.'

Using this definition on our asset we see for example:
  • The downside risk over 5 years of Minimum Volatility Portfolio is 4.7%, which is smaller, thus better compared to the benchmark SPY (13.2%) in the same period.
  • During the last 3 years, the downside deviation is 5.5%, which is lower, thus better than the value of 15.1% 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.'

Which means for our asset as example:
  • Looking at the Sharpe Ratio of 0.97 in the last 5 years of Minimum Volatility Portfolio, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.22)
  • During the last 3 years, the ratio of return and volatility (Sharpe) is 0.66, which is higher, thus better than the value of 0.11 from the benchmark.

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 Minimum Volatility Portfolio is 1.26, which is higher, thus better compared to the benchmark SPY (0.3) in the same period.
  • Looking at ratio of annual return and downside deviation in of 0.82 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.15).

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.'

Using this definition on our asset we see for example:
  • The Ulcer Index over 5 years of Minimum Volatility Portfolio is 2.16 , which is smaller, thus better compared to the benchmark SPY (4.93 ) in the same period.
  • Looking at Downside risk index in of 2.4 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (5.58 ).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum drop from peak to valley of -16.7 days of Minimum Volatility Portfolio is higher, thus better.
  • Looking at maximum reduction from previous high in of -16.7 days in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (-33.7 days).

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'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (187 days) in the period of the last 5 years, the maximum days below previous high of 246 days of Minimum Volatility Portfolio is larger, thus worse.
  • Compared with SPY (139 days) in the period of the last 3 years, the maximum days below previous high of 246 days is larger, thus worse.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (42 days) in the period of the last 5 years, the average days under water of 55 days of Minimum Volatility Portfolio is higher, thus worse.
  • Looking at average days under water in of 57 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (36 days).

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations
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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, 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.