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 performance of 27.1% in the last 5 years of Minimum Volatility Portfolio, we see it is relatively lower, thus worse in comparison to the benchmark SPY (82.3%)
  • During the last 3 years, the total return, or increase in value is 20.7%, which is lower, thus worse than the value of 69.4% 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.'

Applying this definition to our asset in some examples:
  • Looking at the annual return (CAGR) of 4.9% in the last 5 years of Minimum Volatility Portfolio, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (12.8%)
  • During the last 3 years, the annual performance (CAGR) is 6.5%, which is smaller, thus worse than the value of 19.3% from the benchmark.

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 historical 30 days volatility over 5 years of Minimum Volatility Portfolio is 3.1%, which is lower, thus better compared to the benchmark SPY (17.2%) in the same period.
  • Compared with SPY (15.3%) in the period of the last 3 years, the historical 30 days volatility of 3.3% is smaller, thus better.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Applying this definition to our asset in some examples:
  • The downside risk over 5 years of Minimum Volatility Portfolio is 2.1%, which is lower, thus better compared to the benchmark SPY (11.8%) in the same period.
  • During the last 3 years, the downside risk is 2.2%, which is smaller, thus better than the value of 10.3% from the benchmark.

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:
  • Looking at the Sharpe Ratio of 0.78 in the last 5 years of Minimum Volatility Portfolio, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.6)
  • During the last 3 years, the risk / return profile (Sharpe) is 1.22, which is higher, thus better than the value of 1.09 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.87) in the period of the last 5 years, the downside risk / excess return profile of 1.17 of Minimum Volatility Portfolio is larger, thus better.
  • Compared with SPY (1.62) in the period of the last 3 years, the downside risk / excess return profile of 1.8 is higher, thus better.

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:
  • Looking at the Ulcer Ratio of 0.99 in the last 5 years of Minimum Volatility Portfolio, we see it is relatively lower, thus better in comparison to the benchmark SPY (8.45 )
  • During the last 3 years, the Downside risk index is 0.7 , which is smaller, thus better than the value of 3.53 from the benchmark.

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 Minimum Volatility Portfolio is -2.7 days, which is larger, thus better compared to the benchmark SPY (-24.5 days) in the same period.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum reduction from previous high of -2.4 days is larger, 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.'

Applying this definition to our asset in some examples:
  • The maximum days below previous high over 5 years of Minimum Volatility Portfolio is 291 days, which is smaller, thus better compared to the benchmark SPY (488 days) in the same period.
  • Looking at maximum time in days below previous high water mark in of 86 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (87 days).

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:
  • Compared with the benchmark SPY (119 days) in the period of the last 5 years, the average days under water of 58 days of Minimum Volatility Portfolio is lower, thus better.
  • During the last 3 years, the average days under water is 22 days, which is larger, thus worse than the value of 21 days from the benchmark.

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.