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 16%.

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%)
  • World Top 4 Strategy (WTOP4) (0% to 60%)
  • Global Sector Rotation Strategy (GSRS) (0% to 60%)
  • Global Market Rotation Strategy (GMRS) (0% to 60%)
  • NASDAQ 100 Strategy (NAS100) (0% to 60%)
  • US Sector Rotation Strategy (USSECT) (0% to 60%)
  • Leveraged Universal Investment Strategy (UISx3) (0% to 15%)
  • Universal Investment Strategy (UIS) (0% to 60%)
  • US Market Strategy (USMarket) (0% to 60%)
  • Dow 30 Strategy (DOW30) (0% to 60%)
  • Short Term Bond Strategy (STBS) (0% to 60%)

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:
  • The total return, or performance over 5 years of Aggressive Risk Portfolio is 121.5%, which is greater, thus better compared to the benchmark SPY (46.1%) in the same period.
  • Compared with SPY (23.5%) in the period of the last 3 years, the total return of 70.1% is higher, thus better.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (7.9%) in the period of the last 5 years, the annual return (CAGR) of 17.2% of Aggressive Risk Portfolio is greater, thus better.
  • Compared with SPY (7.3%) in the period of the last 3 years, the annual return (CAGR) of 19.4% is larger, thus better.

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Applying this definition to our asset in some examples:
  • The historical 30 days volatility over 5 years of Aggressive Risk Portfolio is 10.1%, which is lower, thus better compared to the benchmark SPY (18.3%) in the same period.
  • Looking at volatility in of 11.3% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (20.8%).

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:
  • The downside risk over 5 years of Aggressive Risk Portfolio is 7.2%, which is smaller, thus better compared to the benchmark SPY (13.4%) in the same period.
  • Compared with SPY (15.4%) in the period of the last 3 years, the downside risk of 8.2% is lower, thus better.

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Applying this definition to our asset in some examples:
  • The risk / return profile (Sharpe) over 5 years of Aggressive Risk Portfolio is 1.46, which is greater, thus better compared to the benchmark SPY (0.29) in the same period.
  • Looking at risk / return profile (Sharpe) in of 1.5 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.23).

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Applying this definition to our asset in some examples:
  • Looking at the downside risk / excess return profile of 2.05 in the last 5 years of Aggressive Risk Portfolio, we see it is relatively greater, thus better in comparison to the benchmark SPY (0.4)
  • Compared with SPY (0.31) in the period of the last 3 years, the excess return divided by the downside deviation of 2.06 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.'

Which means for our asset as example:
  • The Downside risk index over 5 years of Aggressive Risk Portfolio is 2.69 , which is lower, thus better compared to the benchmark SPY (5.27 ) in the same period.
  • During the last 3 years, the Ulcer Ratio is 2.78 , which is lower, thus better than the value of 6.08 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.'

Using this definition on our asset we see for example:
  • Looking at the maximum DrawDown of -19.4 days in the last 5 years of Aggressive Risk Portfolio, we see it is relatively greater, thus better in comparison to the benchmark SPY (-33.7 days)
  • During the last 3 years, the maximum reduction from previous high is -19.4 days, which is larger, thus better than the value of -33.7 days from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the maximum days under water of 210 days in the last 5 years of Aggressive Risk Portfolio, we see it is relatively larger, thus worse in comparison to the benchmark SPY (187 days)
  • During the last 3 years, the maximum days under water is 89 days, which is lower, thus better than the value of 139 days from the benchmark.

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:
  • Looking at the average days under water of 38 days in the last 5 years of Aggressive Risk Portfolio, we see it is relatively smaller, thus better in comparison to the benchmark SPY (42 days)
  • Looking at average time in days below previous high water mark in of 21 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (36 days).

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 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.