Description

This portfolio has been optimized for achieving the highest possible return while limiting the historical volatility to 15% or less over the analyzed period. As a reference, the volatility limit of 15% is slightly below the historical volatility, or risk, of the SPDR S&P 500 (SPY). This is an aggressive portfolio suited for investors with a relatively high risk tolerance and aggressive 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 highest return with volatility less than 15%.

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%)
  • Leveraged Gold-Currency Strategy (GLD-USD) (0% to 100%)
  • Global Market Rotation Strategy (GMRS) (0% to 100%)
  • Global Sector Rotation Strategy (GSRS) (0% to 100%)
  • 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.'

Applying this definition to our asset in some examples:
  • Looking at the total return, or increase in value of 132% in the last 5 years of Volatility less than 15%, we see it is relatively higher, thus better in comparison to the benchmark SPY (122%)
  • Compared with SPY (61%) in the period of the last 3 years, the total return of 67.4% is greater, thus better.

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.'

Applying this definition to our asset in some examples:
  • The annual performance (CAGR) over 5 years of Volatility less than 15% is 18.3%, which is higher, thus better compared to the benchmark SPY (17.3%) in the same period.
  • Compared with SPY (17.2%) in the period of the last 3 years, the annual return (CAGR) of 18.7% is greater, thus better.

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:
  • Compared with the benchmark SPY (18.8%) in the period of the last 5 years, the 30 days standard deviation of 14.2% of Volatility less than 15% is lower, thus better.
  • During the last 3 years, the 30 days standard deviation is 15.9%, which is smaller, thus better than the value of 22.5% 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.'

Using this definition on our asset we see for example:
  • The downside risk over 5 years of Volatility less than 15% is 10.1%, which is lower, thus better compared to the benchmark SPY (13.6%) in the same period.
  • Looking at downside volatility in of 11.4% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (16.3%).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.79) in the period of the last 5 years, the Sharpe Ratio of 1.12 of Volatility less than 15% is larger, thus better.
  • Looking at risk / return profile (Sharpe) in of 1.02 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.65).

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.'

Which means for our asset as example:
  • Looking at the excess return divided by the downside deviation of 1.56 in the last 5 years of Volatility less than 15%, we see it is relatively greater, thus better in comparison to the benchmark SPY (1.09)
  • Compared with SPY (0.9) in the period of the last 3 years, the excess return divided by the downside deviation of 1.42 is larger, 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.'

Which means for our asset as example:
  • Looking at the Ulcer Ratio of 6.14 in the last 5 years of Volatility less than 15%, we see it is relatively greater, thus worse in comparison to the benchmark SPY (5.58 )
  • During the last 3 years, the Downside risk index is 6.86 , which is greater, thus worse than the value of 6.83 from the benchmark.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum reduction from previous high of -20.7 days of Volatility less than 15% is higher, thus better.
  • Looking at maximum drop from peak to valley in of -20.7 days in the period of the last 3 years, we see it is relatively higher, 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) in days.'

Using this definition on our asset we see for example:
  • Looking at the maximum days under water of 253 days in the last 5 years of Volatility less than 15%, we see it is relatively greater, thus worse in comparison to the benchmark SPY (139 days)
  • Compared with SPY (139 days) in the period of the last 3 years, the maximum days below previous high of 194 days is larger, thus worse.

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:
  • Compared with the benchmark SPY (33 days) in the period of the last 5 years, the average time in days below previous high water mark of 60 days of Volatility less than 15% is greater, thus worse.
  • During the last 3 years, the average time in days below previous high water mark is 54 days, which is higher, thus worse than the value of 34 days from the benchmark.

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 Volatility less than 15% 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.