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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (85.4%) in the period of the last 5 years, the total return, or increase in value of 74% of Aggressive Risk Portfolio is smaller, thus worse.
  • Looking at total return, or increase in value in of 53.9% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (75.6%).

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:
  • The annual return (CAGR) over 5 years of Aggressive Risk Portfolio is 11.8%, which is lower, thus worse compared to the benchmark SPY (13.2%) in the same period.
  • Compared with SPY (20.8%) in the period of the last 3 years, the annual performance (CAGR) of 15.6% is smaller, thus worse.

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 13.7% in the last 5 years of Aggressive Risk Portfolio, we see it is relatively smaller, thus better in comparison to the benchmark SPY (17.2%)
  • During the last 3 years, the historical 30 days volatility is 12.7%, which is lower, thus better than the value of 15.3% 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside volatility of 9.7% of Aggressive Risk Portfolio is lower, thus better.
  • Looking at downside deviation in of 8.8% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (10.3%).

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.'

Applying this definition to our asset in some examples:
  • The ratio of return and volatility (Sharpe) over 5 years of Aggressive Risk Portfolio is 0.67, which is larger, thus better compared to the benchmark SPY (0.62) in the same period.
  • Compared with SPY (1.2) in the period of the last 3 years, the risk / return profile (Sharpe) of 1.03 is smaller, thus worse.

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:
  • The ratio of annual return and downside deviation over 5 years of Aggressive Risk Portfolio is 0.96, which is higher, thus better compared to the benchmark SPY (0.9) in the same period.
  • Looking at excess return divided by the downside deviation in of 1.49 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.78).

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:
  • Looking at the Downside risk index of 5.56 in the last 5 years of Aggressive Risk Portfolio, we see it is relatively lower, thus better in comparison to the benchmark SPY (8.46 )
  • Looking at Ulcer Index in of 3.93 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (3.52 ).

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.'

Using this definition on our asset we see for example:
  • Looking at the maximum reduction from previous high of -19.6 days in the last 5 years of Aggressive Risk Portfolio, we see it is relatively higher, thus better in comparison to the benchmark SPY (-24.5 days)
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum DrawDown of -13.2 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 289 days of Aggressive Risk Portfolio is smaller, thus better.
  • Looking at maximum time in days below previous high water mark in of 190 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (87 days).

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 65 days in the last 5 years of Aggressive Risk Portfolio, we see it is relatively lower, thus better in comparison to the benchmark SPY (119 days)
  • Compared with SPY (20 days) in the period of the last 3 years, the average days below previous high of 43 days is greater, thus worse.

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.