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.

'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.'

Using this definition on our asset we see for example:- Looking at the total return, or performance of 275.4% in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively larger, thus better in comparison to the benchmark QQQ (94.9%)
- Looking at total return, or increase in value in of 211.1% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to QQQ (83.1%).

'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.'

Using this definition on our asset we see for example:- Looking at the annual performance (CAGR) of 30.3% 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 (14.3%)
- During the last 3 years, the compounded annual growth rate (CAGR) is 46%, which is greater, thus better than the value of 22.3% from the benchmark.

'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:- Looking at the 30 days standard deviation of 20% in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively smaller, thus better in comparison to the benchmark QQQ (26.2%)
- Compared with QQQ (26.6%) in the period of the last 3 years, the volatility of 19.1% is smaller, 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 risk over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 13.6%, which is lower, thus better compared to the benchmark QQQ (18.7%) in the same period.
- During the last 3 years, the downside deviation is 11.2%, which is lower, thus better than the value of 18.3% from the benchmark.

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Which means for our asset as example:- Looking at the Sharpe Ratio of 1.39 in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively larger, thus better in comparison to the benchmark QQQ (0.45)
- Looking at risk / return profile (Sharpe) in of 2.28 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to QQQ (0.75).

'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 QQQ (0.63) in the period of the last 5 years, the ratio of annual return and downside deviation of 2.05 of NASDAQ 100 Low Volatility Sub-strategy is larger, thus better.
- Looking at downside risk / excess return profile in of 3.88 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to QQQ (1.09).

'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:- Compared with the benchmark QQQ (13 ) in the period of the last 5 years, the Downside risk index of 4.73 of NASDAQ 100 Low Volatility Sub-strategy is smaller, thus better.
- During the last 3 years, the Downside risk index is 3.92 , which is lower, thus better than the value of 16 from the benchmark.

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Applying this definition to our asset in some examples:- Compared with the benchmark QQQ (-35.1 days) in the period of the last 5 years, the maximum reduction from previous high of -29.3 days of NASDAQ 100 Low Volatility Sub-strategy is higher, thus better.
- During the last 3 years, the maximum drop from peak to valley is -12.1 days, which is higher, thus better than the value of -35.1 days from the benchmark.

'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:- The maximum days below previous high over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 79 days, which is smaller, thus better compared to the benchmark QQQ (310 days) in the same period.
- Compared with QQQ (310 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 79 days is lower, thus better.

'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 20 days in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively smaller, thus better in comparison to the benchmark QQQ (66 days)
- Compared with QQQ (82 days) in the period of the last 3 years, the average time in days below previous high water mark of 20 days is smaller, thus better.

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.