Description of Volatility less than 15%

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 alogrithm 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%)
  • World Top 4 Strategy (WTOP4) (0% to 100%)
  • Global Sector Rotation Strategy (GSRS) (0% to 100%)
  • Global Market Rotation Strategy (GMRS) (0% to 100%)
  • Maximum Yield Strategy (MYRS) (0% to 100%)
  • NASDAQ 100 Strategy (NAS100) (0% to 100%)
  • Leveraged Gold-Currency Strategy (GLD-USD) (0% to 100%)
  • US Sector Rotation Strategy (USSECT) (0% to 100%)
  • Leveraged Universal Investment Strategy (UISx3) (0% to 100%)
  • US Market Strategy (USMarket) (0% to 100%)
  • Dow 30 Strategy (DOW30) (0% to 100%)
  • Universal Investment Strategy (UIS) (0% to 100%)

Statistics of Volatility less than 15% (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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (72.2%) in the period of the last 5 years, the total return, or increase in value of 213.9% of Volatility less than 15% is larger, thus better.
  • Looking at total return, or performance in of 101.3% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (48.3%).

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 compounded annual growth rate (CAGR) over 5 years of Volatility less than 15% is 25.7%, which is greater, thus better compared to the benchmark SPY (11.5%) in the same period.
  • During the last 3 years, the annual performance (CAGR) is 26.3%, which is higher, thus better than the value of 14.1% from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (13.2%) in the period of the last 5 years, the 30 days standard deviation of 12.4% of Volatility less than 15% is lower, thus better.
  • Compared with SPY (12.4%) in the period of the last 3 years, the historical 30 days volatility of 11.9% is lower, thus better.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Which means for our asset as example:
  • Compared with the benchmark SPY (14.5%) in the period of the last 5 years, the downside volatility of 14.2% of Volatility less than 15% is smaller, thus better.
  • During the last 3 years, the downside deviation is 13.8%, which is smaller, thus better than the value of 14.1% from the benchmark.

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 Sharpe Ratio over 5 years of Volatility less than 15% is 1.87, which is larger, thus better compared to the benchmark SPY (0.68) in the same period.
  • Looking at Sharpe Ratio in of 1.99 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.93).

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 ratio of annual return and downside deviation of 1.63 in the last 5 years of Volatility less than 15%, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.62)
  • Compared with SPY (0.82) in the period of the last 3 years, the excess return divided by the downside deviation of 1.72 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (3.95 ) in the period of the last 5 years, the Ulcer Ratio of 2.73 of Volatility less than 15% is lower, thus worse.
  • Looking at Ulcer Ratio in of 2.68 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (4 ).

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:
  • Compared with the benchmark SPY (-19.3 days) in the period of the last 5 years, the maximum reduction from previous high of -9.9 days of Volatility less than 15% is larger, thus better.
  • During the last 3 years, the maximum reduction from previous high is -9.9 days, which is greater, thus better than the value of -19.3 days from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the maximum days below previous high of 106 days in the last 5 years of Volatility less than 15%, we see it is relatively smaller, thus better in comparison to the benchmark SPY (187 days)
  • Compared with SPY (139 days) in the period of the last 3 years, the maximum days below previous high of 106 days is lower, 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 below previous high of 20 days in the last 5 years of Volatility less than 15%, we see it is relatively lower, thus better in comparison to the benchmark SPY (41 days)
  • During the last 3 years, the average days below previous high is 21 days, which is lower, thus better than the value of 36 days from the benchmark.

Performance of Volatility less than 15% (YTD)

Historical returns have been extended using synthetic data.

Allocations of Volatility less than 15%
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Allocations

Returns of Volatility less than 15% (%)

  • "Year" returns in the table above are not equal to 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.