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:

'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:
  • Looking at the total return, or performance of 152.2% in the last 5 years of Volatility less than 10%, we see it is relatively higher, thus better in comparison to the benchmark SPY (72.2%)
  • During the last 3 years, the total return is 70.7%, which is larger, thus better than the value of 48.3% from the benchmark.

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 performance (CAGR) over 5 years of Volatility less than 10% is 20.3%, which is higher, thus better compared to the benchmark SPY (11.5%) in the same period.
  • Looking at annual return (CAGR) in of 19.5% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (14.1%).

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.'

Which means for our asset as example:
  • Looking at the volatility of 8.2% in the last 5 years of Volatility less than 10%, we see it is relatively lower, thus better in comparison to the benchmark SPY (13.2%)
  • Looking at volatility in of 7.4% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (12.4%).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (14.5%) in the period of the last 5 years, the downside risk of 9.2% of Volatility less than 10% is lower, thus better.
  • During the last 3 years, the downside deviation is 8.4%, which is lower, 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:
  • Looking at the Sharpe Ratio of 2.17 in the last 5 years of Volatility less than 10%, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.68)
  • Looking at ratio of return and volatility (Sharpe) in of 2.3 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.93).

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:
  • The ratio of annual return and downside deviation over 5 years of Volatility less than 10% is 1.93, which is greater, thus better compared to the benchmark SPY (0.62) in the same period.
  • Looking at excess return divided by the downside deviation in of 2.04 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.82).

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.'

Applying this definition to our asset in some examples:
  • Looking at the Ulcer Ratio of 1.43 in the last 5 years of Volatility less than 10%, we see it is relatively lower, thus worse in comparison to the benchmark SPY (3.95 )
  • Looking at Downside risk index in of 1.28 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (4 ).

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 -6.4 days in the last 5 years of Volatility less than 10%, we see it is relatively higher, thus better in comparison to the benchmark SPY (-19.3 days)
  • Compared with SPY (-19.3 days) in the period of the last 3 years, the maximum drop from peak to valley of -5.1 days is higher, 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.'

Which means for our asset as example:
  • The maximum days under water over 5 years of Volatility less than 10% is 75 days, which is lower, thus better compared to the benchmark SPY (187 days) in the same period.
  • Looking at maximum time in days below previous high water mark in of 75 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (139 days).

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:
  • Compared with the benchmark SPY (41 days) in the period of the last 5 years, the average days under water of 15 days of Volatility less than 10% is lower, thus better.
  • Looking at average days below previous high in of 16 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (36 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.