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:

'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 of 131.2% 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 (129.8%)
  • During the last 3 years, the total return is 8.5%, which is smaller, thus worse than the value of 100.7% from the benchmark.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Using this definition on our asset we see for example:
  • Compared with the benchmark QQQ (18.2%) in the period of the last 5 years, the annual return (CAGR) of 18.3% of NASDAQ 100 Low Volatility Sub-strategy is greater, thus better.
  • During the last 3 years, the annual return (CAGR) is 2.8%, which is lower, thus worse than the value of 26.3% from the benchmark.

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Using this definition on our asset we see for example:
  • Compared with the benchmark QQQ (23.5%) in the period of the last 5 years, the 30 days standard deviation of 16.1% of NASDAQ 100 Low Volatility Sub-strategy is lower, thus better.
  • Looking at volatility in of 14.4% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to QQQ (22.6%).

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Using this definition on our asset we see for example:
  • Compared with the benchmark QQQ (16.3%) in the period of the last 5 years, the downside deviation of 10.4% of NASDAQ 100 Low Volatility Sub-strategy is smaller, thus better.
  • Compared with QQQ (15%) in the period of the last 3 years, the downside deviation of 10.1% 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 Sharpe Ratio of 0.98 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 (0.67)
  • During the last 3 years, the Sharpe Ratio is 0.02, which is lower, thus worse than the value of 1.05 from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • The excess return divided by the downside deviation over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 1.52, which is greater, thus better compared to the benchmark QQQ (0.96) in the same period.
  • During the last 3 years, the downside risk / excess return profile is 0.03, which is smaller, thus worse than the value of 1.59 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:
  • The Downside risk index over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 5.52 , which is lower, thus better compared to the benchmark QQQ (14 ) in the same period.
  • During the last 3 years, the Ulcer Ratio is 6.57 , which is smaller, thus better than the value of 7.91 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:
  • Compared with the benchmark QQQ (-35.1 days) in the period of the last 5 years, the maximum DrawDown of -13.6 days of NASDAQ 100 Low Volatility Sub-strategy is larger, thus better.
  • During the last 3 years, the maximum drop from peak to valley is -13.6 days, which is greater, thus better than the value of -22.8 days from the benchmark.

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) in days.'

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 273 days of NASDAQ 100 Low Volatility Sub-strategy is lower, thus better.
  • Compared with QQQ (190 days) in the period of the last 3 years, the maximum days under water of 273 days is greater, thus worse.

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.'

Using this definition on our asset we see for example:
  • The average time in days below previous high water mark over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 60 days, which is lower, thus better compared to the benchmark QQQ (122 days) in the same period.
  • During the last 3 years, the average days under water is 85 days, which is greater, thus worse than the value of 47 days from the benchmark.

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.