Description

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 highest Sharpe ratio.

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:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

Using this definition on our asset we see for example:
  • The total return over 5 years of Test Portfolio is 99.8%, which is greater, thus better compared to the benchmark AGG (17.1%) in the same period.
  • Compared with AGG (14.8%) in the period of the last 3 years, the total return, or performance of 50.2% 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.'

Which means for our asset as example:
  • Looking at the annual return (CAGR) of 14.8% in the last 5 years of Test Portfolio, we see it is relatively larger, thus better in comparison to the benchmark AGG (3.2%)
  • Looking at annual return (CAGR) in of 14.5% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to AGG (4.7%).

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:
  • Compared with the benchmark AGG (4.6%) in the period of the last 5 years, the 30 days standard deviation of 8.7% of Test Portfolio is greater, thus worse.
  • During the last 3 years, the volatility is 9.2%, which is greater, thus worse than the value of 5.3% from the benchmark.

DownVol:

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

Using this definition on our asset we see for example:
  • Looking at the downside volatility of 6.1% in the last 5 years of Test Portfolio, we see it is relatively higher, thus worse in comparison to the benchmark AGG (3.5%)
  • During the last 3 years, the downside deviation is 6.8%, which is larger, thus worse than the value of 4.1% 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 ratio of return and volatility (Sharpe) of 1.42 in the last 5 years of Test Portfolio, we see it is relatively greater, thus better in comparison to the benchmark AGG (0.15)
  • Compared with AGG (0.42) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 1.3 is higher, thus better.

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:
  • The downside risk / excess return profile over 5 years of Test Portfolio is 2.01, which is greater, thus better compared to the benchmark AGG (0.2) in the same period.
  • Looking at ratio of annual return and downside deviation in of 1.77 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to AGG (0.54).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark AGG (1.7 ) in the period of the last 5 years, the Downside risk index of 2.15 of Test Portfolio is higher, thus worse.
  • Looking at Ulcer Ratio in of 2.3 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to AGG (1.56 ).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark AGG (-9.6 days) in the period of the last 5 years, the maximum drop from peak to valley of -14.7 days of Test Portfolio is lower, thus worse.
  • During the last 3 years, the maximum reduction from previous high is -14.7 days, which is lower, thus worse than the value of -9.6 days from the benchmark.

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:
  • Compared with the benchmark AGG (331 days) in the period of the last 5 years, the maximum days below previous high of 84 days of Test Portfolio is lower, thus better.
  • Looking at maximum days below previous high in of 83 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to AGG (331 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.'

Applying this definition to our asset in some examples:
  • The average days under water over 5 years of Test Portfolio is 23 days, which is smaller, thus better compared to the benchmark AGG (106 days) in the same period.
  • Compared with AGG (90 days) in the period of the last 3 years, the average days below previous high of 22 days is smaller, thus better.

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 Test 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.