Description

Recommended for: Capital growth, speculation and young investors.

The Aggressive Risk Portfolio is appropriate for an investor with a high risk tolerance and a time horizon longer than 10 years. Aggressive investors should be willing to accept periods of extreme ups and downs in exchange for the possibility of receiving higher relative returns over the long term. A longer time horizon is needed to allow time for investments to recover in the event of a sharp downturn. This portfolio is heavily weighted with stocks which are historically more volatile than bonds and may include leveraged ETFs such as UGLD, SPXL and TMF.

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 17%.

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 60%)
  • BUG Permanent Portfolio Strategy (BUG) (0% to 60%)
  • Global Market Rotation Strategy (GMRS) (0% to 60%)
  • Global Sector Rotation Strategy (GSRS) (0% to 60%)
  • Short Term Bond Strategy (STBS) (0% to 60%)
  • Universal Investment Strategy (UIS) (0% to 60%)
  • Universal Investment Strategy 2x Leverage (UISx2) (0% to 60%)
  • US Market Strategy 2x Leverage (USMx2) (0% to 60%)
  • US Sector Rotation Strategy (USSECT) (0% to 60%)
  • World Top 4 Strategy (WTOP4) (0% to 60%)

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.'

Which means for our asset as example:
  • The total return, or increase in value over 5 years of Aggressive Risk Portfolio is 163.4%, which is larger, thus better compared to the benchmark SPY (94.2%) in the same period.
  • During the last 3 years, the total return, or performance is 33.6%, which is larger, thus better than the value of 27.9% from the benchmark.

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

Which means for our asset as example:
  • Looking at the annual return (CAGR) of 21.4% in the last 5 years of Aggressive Risk Portfolio, we see it is relatively higher, thus better in comparison to the benchmark SPY (14.2%)
  • Looking at annual return (CAGR) in of 10.2% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (8.6%).

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.'

Which means for our asset as example:
  • The historical 30 days volatility over 5 years of Aggressive Risk Portfolio is 15.6%, which is smaller, thus better compared to the benchmark SPY (20.9%) in the same period.
  • During the last 3 years, the historical 30 days volatility is 14.2%, which is lower, thus better than the value of 17.3% 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 deviation of 11% in the last 5 years of Aggressive Risk Portfolio, we see it is relatively lower, thus better in comparison to the benchmark SPY (15%)
  • Looking at downside deviation in of 10.1% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (12.1%).

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.'

Applying this definition to our asset in some examples:
  • The ratio of return and volatility (Sharpe) over 5 years of Aggressive Risk Portfolio is 1.21, which is greater, thus better compared to the benchmark SPY (0.56) in the same period.
  • Compared with SPY (0.35) in the period of the last 3 years, the Sharpe Ratio of 0.54 is larger, thus better.

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Using this definition on our asset we see for example:
  • Looking at the excess return divided by the downside deviation of 1.72 in the last 5 years of Aggressive Risk Portfolio, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.78)
  • Compared with SPY (0.5) in the period of the last 3 years, the downside risk / excess return profile of 0.76 is greater, thus better.

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Using this definition on our asset we see for example:
  • The Downside risk index over 5 years of Aggressive Risk Portfolio is 5.53 , which is smaller, thus better compared to the benchmark SPY (9.32 ) in the same period.
  • Looking at Downside risk index in of 6.26 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (10 ).

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:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum drop from peak to valley of -20.8 days of Aggressive Risk Portfolio is higher, thus better.
  • Compared with SPY (-24.5 days) in the period of the last 3 years, the maximum reduction from previous high of -19.6 days is larger, thus better.

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.'

Which means for our asset as example:
  • Looking at the maximum days under water of 289 days in the last 5 years of Aggressive Risk Portfolio, we see it is relatively lower, thus better in comparison to the benchmark SPY (488 days)
  • Compared with SPY (488 days) in the period of the last 3 years, the maximum days under water of 289 days is lower, thus better.

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:
  • Looking at the average time in days below previous high water mark of 54 days in the last 5 years of Aggressive Risk Portfolio, we see it is relatively lower, thus better in comparison to the benchmark SPY (123 days)
  • During the last 3 years, the average days below previous high is 74 days, which is lower, thus better than the value of 180 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 Aggressive Risk 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.