Description

The NASDAQ 100 is a sub-strategy.

Methodology & Assets

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.

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:
  • Looking at the total return of 182.2% 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 (162.2%)
  • During the last 3 years, the total return is 26.1%, which is smaller, thus worse than the value of 34.8% from the benchmark.

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.'

Which means for our asset as example:
  • Looking at the annual performance (CAGR) of 23.1% 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 (21.3%)
  • Looking at compounded annual growth rate (CAGR) in of 8.1% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to QQQ (10.5%).

Volatility:

'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.'

Which means for our asset as example:
  • The 30 days standard deviation over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 19.4%, which is lower, thus better compared to the benchmark QQQ (25.5%) in the same period.
  • During the last 3 years, the volatility is 13.1%, which is lower, thus better than the value of 23.8% from the benchmark.

DownVol:

'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.'

Applying this definition to our asset in some examples:
  • Looking at the downside risk of 13.2% in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively lower, thus better in comparison to the benchmark QQQ (18%)
  • Compared with QQQ (16.7%) in the period of the last 3 years, the downside deviation of 9.1% is lower, 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:
  • Looking at the risk / return profile (Sharpe) of 1.06 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 (0.74)
  • During the last 3 years, the ratio of return and volatility (Sharpe) is 0.43, which is greater, thus better than the value of 0.34 from the benchmark.

Sortino:

'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.'

Which means for our asset as example:
  • Looking at the excess return divided by the downside deviation of 1.56 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 (1.04)
  • During the last 3 years, the ratio of annual return and downside deviation is 0.61, which is greater, thus better than the value of 0.48 from the benchmark.

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:
  • Compared with the benchmark QQQ (14 ) in the period of the last 5 years, the Downside risk index of 5.98 of NASDAQ 100 Low Volatility Sub-strategy is smaller, thus better.
  • Looking at Downside risk index in of 6.07 in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to QQQ (17 ).

MaxDD:

'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:
  • Looking at the maximum DrawDown of -29.3 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 (-35.1 days)
  • Looking at maximum drop from peak to valley in of -13.6 days in the period of the last 3 years, we see it is relatively greater, thus better in comparison to QQQ (-35.1 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark QQQ (493 days) in the period of the last 5 years, the maximum days under water of 273 days of NASDAQ 100 Low Volatility Sub-strategy is lower, thus better.
  • During the last 3 years, the maximum days under water is 273 days, which is lower, thus better than the value of 493 days from the benchmark.

AveDuration:

'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.'

Using this definition on our asset we see for example:
  • The average days below previous high over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 52 days, which is smaller, thus better compared to the benchmark QQQ (122 days) in the same period.
  • Looking at average days below previous high in of 71 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to QQQ (179 days).

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 NASDAQ 100 Low Volatility Sub-strategy 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.