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:

'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.'

Which means for our asset as example:
  • Looking at the total return, or increase in value of 174.6% in the last 5 years of Aggressive Risk Portfolio, we see it is relatively greater, thus better in comparison to the benchmark SPY (97%)
  • Compared with SPY (39.3%) in the period of the last 3 years, the total return, or performance of 44.1% 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:
  • Looking at the annual performance (CAGR) of 22.4% in the last 5 years of Aggressive Risk Portfolio, we see it is relatively higher, thus better in comparison to the benchmark SPY (14.6%)
  • During the last 3 years, the annual return (CAGR) is 13%, which is larger, thus better than the value of 11.7% 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:
  • Looking at the 30 days standard deviation of 15.5% in the last 5 years of Aggressive Risk Portfolio, we see it is relatively lower, thus better in comparison to the benchmark SPY (20.9%)
  • During the last 3 years, the volatility is 14.1%, which is lower, thus better than the value of 17.5% from the benchmark.

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:
  • Looking at the downside deviation of 10.9% in the last 5 years of Aggressive Risk Portfolio, we see it is relatively smaller, thus better in comparison to the benchmark SPY (15%)
  • Compared with SPY (12.1%) in the period of the last 3 years, the downside volatility of 9.9% is lower, thus better.

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.'

Applying this definition to our asset in some examples:
  • The ratio of return and volatility (Sharpe) over 5 years of Aggressive Risk Portfolio is 1.29, which is higher, thus better compared to the benchmark SPY (0.58) in the same period.
  • Compared with SPY (0.53) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.74 is greater, 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.'

Applying this definition to our asset in some examples:
  • Looking at the excess return divided by the downside deviation of 1.83 in the last 5 years of Aggressive Risk Portfolio, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.8)
  • Looking at downside risk / excess return profile in of 1.06 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.76).

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.'

Applying this definition to our asset in some examples:
  • Looking at the Ulcer Index of 5.53 in the last 5 years of Aggressive Risk Portfolio, we see it is relatively lower, thus better in comparison to the benchmark SPY (9.33 )
  • Compared with SPY (10 ) in the period of the last 3 years, the Ulcer Ratio of 6.26 is lower, thus better.

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 -20.8 days of Aggressive Risk Portfolio is greater, thus better.
  • Looking at maximum reduction from previous high in of -19.6 days in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (-24.5 days).

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.'

Using this definition on our asset we see for example:
  • The maximum days below previous high over 5 years of Aggressive Risk Portfolio is 289 days, which is smaller, thus better compared to the benchmark SPY (488 days) in the same period.
  • Compared with SPY (488 days) in the period of the last 3 years, the maximum days below previous high of 289 days is smaller, thus better.

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:
  • Looking at the average days under water 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)
  • Compared with SPY (181 days) in the period of the last 3 years, the average days below previous high of 74 days is smaller, thus better.

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, 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.