Description

This portfolio has been optimized for achieving the highest possible return while limiting the historical volatility to 7% or less over the analyzed period with the involved assets. The volatility limit of 7% equals about half the volatility, or risk, of the iShares 20+ Year Treasury Bond ETF - TLT.

As such it is a very conservative Portfolio suited for very risk adverse investors with conservative 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 7%.

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%)
  • Short Term Bond Strategy (STBS) (0% to 50%)
  • 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:

'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.'

Using this definition on our asset we see for example:
  • The total return, or performance over 5 years of Volatility less than 7% is 56.9%, which is smaller, thus worse compared to the benchmark SPY (95.4%) in the same period.
  • Compared with SPY (46.9%) in the period of the last 3 years, the total return, or increase in value of 24.3% is lower, thus worse.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Which means for our asset as example:
  • Looking at the annual return (CAGR) of 9.4% in the last 5 years of Volatility less than 7%, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (14.4%)
  • Looking at annual return (CAGR) in of 7.6% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (13.7%).

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:
  • Looking at the 30 days standard deviation of 6.5% in the last 5 years of Volatility less than 7%, we see it is relatively lower, thus better in comparison to the benchmark SPY (21%)
  • Looking at 30 days standard deviation in of 4.7% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (17.2%).

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 (15%) in the period of the last 5 years, the downside risk of 4.7% of Volatility less than 7% is smaller, thus better.
  • Compared with SPY (11.9%) in the period of the last 3 years, the downside deviation of 3.2% is smaller, thus better.

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Which means for our asset as example:
  • Looking at the ratio of return and volatility (Sharpe) of 1.07 in the last 5 years of Volatility less than 7%, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.57)
  • During the last 3 years, the Sharpe Ratio is 1.08, which is greater, thus better than the value of 0.66 from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.79) in the period of the last 5 years, the downside risk / excess return profile of 1.47 of Volatility less than 7% is larger, thus better.
  • Compared with SPY (0.94) in the period of the last 3 years, the excess return divided by the downside deviation of 1.6 is larger, thus better.

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Applying this definition to our asset in some examples:
  • Looking at the Downside risk index of 1.82 in the last 5 years of Volatility less than 7%, we see it is relatively lower, thus better in comparison to the benchmark SPY (9.29 )
  • During the last 3 years, the Ulcer Ratio is 1.61 , which is lower, thus better than the value of 8.57 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:
  • Looking at the maximum DrawDown of -13.6 days in the last 5 years of Volatility less than 7%, we see it is relatively higher, thus better in comparison to the benchmark SPY (-33.4 days)
  • During the last 3 years, the maximum reduction from previous high is -4.7 days, which is higher, thus better than the value of -22.1 days from the benchmark.

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.'

Using this definition on our asset we see for example:
  • The maximum days under water over 5 years of Volatility less than 7% is 300 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • During the last 3 years, the maximum days under water is 196 days, which is lower, thus better than the value of 325 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.'

Using this definition on our asset we see for example:
  • The average time in days below previous high water mark over 5 years of Volatility less than 7% is 57 days, which is lower, thus better compared to the benchmark SPY (121 days) in the same period.
  • Compared with SPY (90 days) in the period of the last 3 years, the average time in days below previous high water mark of 44 days is lower, thus better.

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 7% 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.