Description of Volatility less than 10%

This portfolio has been optimized for achieving the highest possible return while limiting the historical volatility to 10% or less over the analyzed period with the involved assets. As a reference, the volatility limit of 10% is about two thirds of the volatility, or risk, of the SPDR S&P 500 (SPY).

As such it is a conservative Portfolio suited for risk adverse investors with moderate 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 10%.

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 10% (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.'

Which means for our asset as example:
  • Looking at the total return, or increase in value of 114.8% in the last 5 years of Volatility less than 10%, we see it is relatively higher, thus better in comparison to the benchmark SPY (65.6%)
  • Compared with SPY (48.8%) in the period of the last 3 years, the total return, or increase in value of 50.4% is greater, thus better.

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.'

Applying this definition to our asset in some examples:
  • The annual performance (CAGR) over 5 years of Volatility less than 10% is 16.5%, which is larger, thus better compared to the benchmark SPY (10.6%) in the same period.
  • During the last 3 years, the compounded annual growth rate (CAGR) is 14.6%, which is larger, thus better than the value of 14.2% from the benchmark.

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Which means for our asset as example:
  • The 30 days standard deviation over 5 years of Volatility less than 10% is 8.3%, which is lower, thus better compared to the benchmark SPY (13.6%) in the same period.
  • Looking at historical 30 days volatility in of 7.9% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (12.8%).

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:
  • Compared with the benchmark SPY (15%) in the period of the last 5 years, the downside risk of 9.3% of Volatility less than 10% is lower, thus better.
  • Compared with SPY (14.6%) in the period of the last 3 years, the downside deviation of 9.1% 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 Volatility less than 10% is 1.69, which is greater, thus better compared to the benchmark SPY (0.6) in the same period.
  • During the last 3 years, the Sharpe Ratio is 1.53, which is greater, thus better than the value of 0.91 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.54) in the period of the last 5 years, the excess return divided by the downside deviation of 1.51 of Volatility less than 10% is larger, thus better.
  • Looking at excess return divided by the downside deviation in of 1.32 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.8).

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 1.87 in the last 5 years of Volatility less than 10%, we see it is relatively lower, thus better in comparison to the benchmark SPY (4.03 )
  • During the last 3 years, the Downside risk index is 2.05 , which is smaller, thus better than the value of 4.1 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.'

Which means for our asset as example:
  • The maximum drop from peak to valley over 5 years of Volatility less than 10% is -6.4 days, which is larger, thus better compared to the benchmark SPY (-19.3 days) in the same period.
  • Compared with SPY (-19.3 days) in the period of the last 3 years, the maximum DrawDown of -6.2 days is greater, thus better.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (187 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 147 days of Volatility less than 10% is smaller, thus better.
  • During the last 3 years, the maximum days below previous high is 147 days, which is larger, thus worse 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.'

Which means for our asset as example:
  • The average time in days below previous high water mark over 5 years of Volatility less than 10% is 27 days, which is lower, thus better compared to the benchmark SPY (41 days) in the same period.
  • Looking at average days below previous high in of 35 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (35 days).

Performance of Volatility less than 10% (YTD)

Historical returns have been extended using synthetic data.

Allocations of Volatility less than 10%
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Allocations

Returns of Volatility less than 10% (%)

  • "Year" returns in the table above are not equal to the sum of monthly returns due to compounding.
  • Performance results of Volatility less than 10% 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.