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 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:
  • Compared with the benchmark QQQ (126.1%) in the period of the last 5 years, the total return of 35.6% of NASDAQ 100 Low Volatility Sub-strategy is lower, thus worse.
  • Looking at total return in of 1.4% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to QQQ (116.3%).

CAGR:

'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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark QQQ (17.8%) in the period of the last 5 years, the annual performance (CAGR) of 6.3% of NASDAQ 100 Low Volatility Sub-strategy is lower, thus worse.
  • Compared with QQQ (29.5%) in the period of the last 3 years, the annual return (CAGR) of 0.5% is lower, thus worse.

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Applying this definition to our asset in some examples:
  • Looking at the volatility of 14% 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 (22.4%)
  • During the last 3 years, the 30 days standard deviation is 13.8%, which is lower, thus better than the value of 19.7% 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.'

Which means for our asset as example:
  • Compared with the benchmark QQQ (15.4%) in the period of the last 5 years, the downside volatility of 9.8% of NASDAQ 100 Low Volatility Sub-strategy is lower, thus better.
  • Looking at downside volatility in of 9.8% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to QQQ (13.3%).

Sharpe:

'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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark QQQ (0.68) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.27 of NASDAQ 100 Low Volatility Sub-strategy is lower, thus worse.
  • During the last 3 years, the ratio of return and volatility (Sharpe) is -0.15, which is lower, thus worse than the value of 1.37 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark QQQ (0.99) in the period of the last 5 years, the excess return divided by the downside deviation of 0.39 of NASDAQ 100 Low Volatility Sub-strategy is lower, thus worse.
  • During the last 3 years, the excess return divided by the downside deviation is -0.21, which is smaller, thus worse than the value of 2.03 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.'

Applying this definition to our asset in some examples:
  • Looking at the Ulcer Index of 6.49 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 (14 )
  • Compared with QQQ (4.85 ) in the period of the last 3 years, the Ulcer Index of 6.62 is larger, thus worse.

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.'

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 DrawDown of -15.2 days of NASDAQ 100 Low Volatility Sub-strategy is higher, thus better.
  • Compared with QQQ (-22.8 days) in the period of the last 3 years, the maximum DrawDown of -15.2 days is larger, thus better.

MaxDuration:

'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'

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 time in days below previous high water mark of 398 days of NASDAQ 100 Low Volatility Sub-strategy is smaller, thus better.
  • Looking at maximum days under water in of 398 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to QQQ (113 days).

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:
  • Looking at the average days under water of 111 days 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 (125 days)
  • Compared with QQQ (31 days) in the period of the last 3 years, the average days under water of 154 days is higher, thus worse.

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.