The NASDAQ 100 is a sub-strategy.

The model chooses four individual stocks from the NASDAQ 100 stock index. So depending on what stocks are in the NASDAQ 100, the stock rotation formula might include the new ones.

'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:- The total return, or performance over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 184.2%, which is smaller, thus worse compared to the benchmark QQQ (227.6%) in the same period.
- Compared with QQQ (118.9%) in the period of the last 3 years, the total return, or increase in value of 69.3% is smaller, thus worse.

'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 23.3% in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively smaller, thus worse in comparison to the benchmark QQQ (26.8%)
- Looking at annual performance (CAGR) in of 19.2% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to QQQ (29.9%).

'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.'

Using this definition on our asset we see for example:- The volatility over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 17.9%, which is lower, thus better compared to the benchmark QQQ (22.2%) in the same period.
- Compared with QQQ (26%) in the period of the last 3 years, the 30 days standard deviation of 21.1% is lower, thus better.

'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:- The downside deviation over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 12.7%, which is smaller, thus better compared to the benchmark QQQ (15.8%) in the same period.
- Compared with QQQ (18.5%) in the period of the last 3 years, the downside volatility of 15.1% is lower, thus better.

'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:- Compared with the benchmark QQQ (1.1) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 1.16 of NASDAQ 100 Low Volatility Sub-strategy is larger, thus better.
- Compared with QQQ (1.05) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.79 is lower, thus worse.

'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.'

Applying this definition to our asset in some examples:- Looking at the excess return divided by the downside deviation of 1.64 in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively greater, thus better in comparison to the benchmark QQQ (1.54)
- During the last 3 years, the downside risk / excess return profile is 1.11, which is lower, thus worse than the value of 1.48 from the benchmark.

'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.'

Which means for our asset as example:- The Ulcer Ratio over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 5.33 , which is lower, thus better compared to the benchmark QQQ (5.56 ) in the same period.
- During the last 3 years, the Ulcer Ratio is 6.01 , which is lower, thus better than the value of 6.03 from the benchmark.

'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 -28.5 days in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively higher, thus better in comparison to the benchmark QQQ (-28.6 days)
- During the last 3 years, the maximum drop from peak to valley is -28.5 days, which is greater, thus better than the value of -28.6 days from the benchmark.

'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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Applying this definition to our asset in some examples:- Compared with the benchmark QQQ (154 days) in the period of the last 5 years, the maximum days under water of 210 days of NASDAQ 100 Low Volatility Sub-strategy is higher, thus worse.
- During the last 3 years, the maximum time in days below previous high water mark is 210 days, which is greater, thus worse than the value of 98 days from the benchmark.

'The Average 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. 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 time in days below previous high water mark of 39 days in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively larger, thus worse in comparison to the benchmark QQQ (26 days)
- During the last 3 years, the average days below previous high is 46 days, which is larger, thus worse than the value of 24 days from the benchmark.

Historical returns have been extended using synthetic data.
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- Note that yearly returns do not equal the sum of monthly returns due to compounding.
- Performance results of NASDAQ 100 Low Volatility Sub-strategy 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.