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:

'Total return is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

Applying this definition to our asset in some examples:
  • Looking at the total return of 107.1% in the last 5 years of Volatility less than 10%, we see it is relatively greater, thus better in comparison to the benchmark SPY (62.6%)
  • Looking at total return in of 57.3% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (32.1%).

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:
  • Compared with the benchmark SPY (10.2%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 15.7% of Volatility less than 10% is higher, thus better.
  • Compared with SPY (9.7%) in the period of the last 3 years, the annual return (CAGR) of 16.3% is greater, thus better.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (21.5%) in the period of the last 5 years, the 30 days standard deviation of 11.1% of Volatility less than 10% is lower, thus better.
  • During the last 3 years, the historical 30 days volatility is 12.6%, which is lower, thus better than the value of 24.8% 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.'

Which means for our asset as example:
  • Looking at the downside risk of 8% in the last 5 years of Volatility less than 10%, we see it is relatively lower, thus better in comparison to the benchmark SPY (15.6%)
  • Compared with SPY (17.9%) in the period of the last 3 years, the downside volatility of 9.3% 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.'

Using this definition on our asset we see for example:
  • The Sharpe Ratio over 5 years of Volatility less than 10% is 1.19, which is greater, thus better compared to the benchmark SPY (0.36) in the same period.
  • Looking at risk / return profile (Sharpe) in of 1.09 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.29).

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:
  • Compared with the benchmark SPY (0.5) in the period of the last 5 years, the downside risk / excess return profile of 1.64 of Volatility less than 10% is larger, thus better.
  • Compared with SPY (0.4) in the period of the last 3 years, the ratio of annual return and downside deviation of 1.49 is higher, 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:
  • The Downside risk index over 5 years of Volatility less than 10% is 2.99 , which is lower, thus better compared to the benchmark SPY (8.52 ) in the same period.
  • Looking at Ulcer Ratio in of 3.61 in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (10 ).

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.'

Which means for our asset as example:
  • Looking at the maximum DrawDown of -16.9 days in the last 5 years of Volatility less than 10%, we see it is relatively greater, thus better in comparison to the benchmark SPY (-33.7 days)
  • Looking at maximum drop from peak to valley in of -16.9 days in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (-33.7 days).

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.'

Applying this definition to our asset in some examples:
  • Looking at the maximum days below previous high of 128 days in the last 5 years of Volatility less than 10%, we see it is relatively lower, thus better in comparison to the benchmark SPY (235 days)
  • Looking at maximum days under water in of 128 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (235 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:
  • Looking at the average days below previous high of 26 days in the last 5 years of Volatility less than 10%, we see it is relatively lower, thus better in comparison to the benchmark SPY (55 days)
  • During the last 3 years, the average days under water is 27 days, which is smaller, thus better than the value of 59 days from the benchmark.

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, 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.