Description

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 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 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%)
  • Global Market Rotation Strategy (GMRS) (0% to 100%)
  • Global Sector Rotation Strategy (GSRS) (0% to 100%)
  • Maximum Yield Strategy (MYRS) (0% to 100%)
  • Universal Investment Strategy (UIS) (0% to 100%)
  • Universal Investment Strategy 2x Leverage (UISx2) (0% to 100%)
  • US Market Strategy (USMarket) (0% to 100%)
  • US Market Strategy 2x Leverage (USMx2) (0% to 100%)
  • US Sector Rotation Strategy (USSECT) (0% to 100%)
  • World Top 4 Strategy (WTOP4) (0% to 100%)

Statistics (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 (94.8%) in the period of the last 5 years, the total return, or performance of 96.7% of Volatility less than 10% is larger, thus better.
  • Looking at total return, or performance in of 63.6% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (76.3%).

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.'

Applying this definition to our asset in some examples:
  • Looking at the annual performance (CAGR) of 14.6% in the last 5 years of Volatility less than 10%, we see it is relatively larger, thus better in comparison to the benchmark SPY (14.3%)
  • Looking at compounded annual growth rate (CAGR) in of 17.9% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (20.9%).

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:
  • The volatility over 5 years of Volatility less than 10% is 10.3%, which is smaller, thus better compared to the benchmark SPY (17%) in the same period.
  • During the last 3 years, the historical 30 days volatility is 10.2%, which is lower, thus better than the value of 15.1% from the benchmark.

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. 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.'

Using this definition on our asset we see for example:
  • The downside risk over 5 years of Volatility less than 10% is 7.3%, which is lower, thus better compared to the benchmark SPY (11.7%) in the same period.
  • Looking at downside volatility in of 7.2% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (10.1%).

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.'

Which means for our asset as example:
  • Looking at the risk / return profile (Sharpe) of 1.17 in the last 5 years of Volatility less than 10%, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.7)
  • Looking at ratio of return and volatility (Sharpe) in of 1.51 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (1.22).

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.'

Using this definition on our asset we see for example:
  • Looking at the ratio of annual return and downside deviation of 1.65 in the last 5 years of Volatility less than 10%, we see it is relatively higher, thus better in comparison to the benchmark SPY (1.01)
  • Compared with SPY (1.82) in the period of the last 3 years, the downside risk / excess return profile of 2.13 is larger, 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.'

Using this definition on our asset we see for example:
  • The Downside risk index over 5 years of Volatility less than 10% is 2.7 , which is smaller, thus better compared to the benchmark SPY (8.42 ) in the same period.
  • Compared with SPY (3.4 ) in the period of the last 3 years, the Ulcer Ratio of 1.98 is smaller, thus better.

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

Applying this definition to our asset in some examples:
  • The maximum reduction from previous high over 5 years of Volatility less than 10% is -10.6 days, which is larger, thus better compared to the benchmark SPY (-24.5 days) in the same period.
  • During the last 3 years, the maximum DrawDown is -7.5 days, which is larger, thus better than the value of -18.8 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 243 days of Volatility less than 10% is lower, thus better.
  • During the last 3 years, the maximum days under water is 95 days, which is higher, thus worse than the value of 87 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 days below previous high over 5 years of Volatility less than 10% is 43 days, which is lower, thus better compared to the benchmark SPY (119 days) in the same period.
  • Compared with SPY (19 days) in the period of the last 3 years, the average days under water of 22 days is larger, 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 Volatility less than 10% 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.