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:
  • Looking at the total return of 47.2% in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively lower, thus worse in comparison to the benchmark QQQ (103.7%)
  • During the last 3 years, the total return is 2.7%, which is smaller, thus worse than the value of 114.9% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the annual return (CAGR) of 8.1% in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively lower, thus worse in comparison to the benchmark QQQ (15.3%)
  • Looking at annual return (CAGR) in of 0.9% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to QQQ (29.2%).

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 historical 30 days volatility of 14% 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 (22.6%)
  • Compared with QQQ (19.7%) in the period of the last 3 years, the volatility of 13.8% is smaller, thus better.

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.'

Using this definition on our asset we see for example:
  • Looking at the downside volatility of 9.8% 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 (15.7%)
  • During the last 3 years, the downside volatility is 9.8%, which is lower, thus better than the value of 13.2% from the benchmark.

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:
  • Looking at the ratio of return and volatility (Sharpe) of 0.4 in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively lower, thus worse in comparison to the benchmark QQQ (0.57)
  • Looking at risk / return profile (Sharpe) in of -0.12 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to QQQ (1.35).

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 QQQ (0.82) in the period of the last 5 years, the excess return divided by the downside deviation of 0.57 of NASDAQ 100 Low Volatility Sub-strategy is lower, thus worse.
  • Compared with QQQ (2.02) in the period of the last 3 years, the downside risk / excess return profile of -0.16 is smaller, thus worse.

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:
  • Compared with the benchmark QQQ (14 ) in the period of the last 5 years, the Downside risk index of 6.24 of NASDAQ 100 Low Volatility Sub-strategy is lower, thus better.
  • During the last 3 years, the Ulcer Ratio is 7.31 , which is higher, thus worse than the value of 4.7 from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • The maximum drop from peak to valley over 5 years of NASDAQ 100 Low Volatility Sub-strategy is -15.2 days, which is higher, thus better compared to the benchmark QQQ (-35.1 days) in the same period.
  • Compared with QQQ (-22.8 days) in the period of the last 3 years, the maximum reduction from previous high of -15.2 days is greater, 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'

Which means for our asset as example:
  • Compared with the benchmark QQQ (493 days) in the period of the last 5 years, the maximum days below previous high of 320 days of NASDAQ 100 Low Volatility Sub-strategy is lower, thus better.
  • Looking at maximum days below previous high in of 320 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to QQQ (85 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.'

Which means for our asset as example:
  • Looking at the average days below previous high of 89 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 (121 days)
  • Looking at average time in days below previous high water mark in of 125 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to QQQ (25 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.