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.'

Applying this definition to our asset in some examples:
  • Looking at the total return, or performance of 22.3% in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively smaller, thus worse in comparison to the benchmark QQQ (99.9%)
  • Compared with QQQ (99.5%) in the period of the last 3 years, the total return of 7% is lower, thus worse.

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 (14.9%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 4.1% of NASDAQ 100 Low Volatility Sub-strategy is lower, thus worse.
  • During the last 3 years, the compounded annual growth rate (CAGR) is 2.3%, which is lower, thus worse than the value of 26% from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark QQQ (23%) in the period of the last 5 years, the volatility of 13.9% of NASDAQ 100 Low Volatility Sub-strategy is lower, thus better.
  • Looking at historical 30 days volatility in of 13.7% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to QQQ (20.5%).

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:
  • Looking at the downside risk 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 (15.9%)
  • During the last 3 years, the downside risk is 9.7%, which is lower, thus better than the value of 13.9% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark QQQ (0.54) in the period of the last 5 years, the Sharpe Ratio of 0.12 of NASDAQ 100 Low Volatility Sub-strategy is lower, thus worse.
  • During the last 3 years, the ratio of return and volatility (Sharpe) is -0.02, which is smaller, thus worse than the value of 1.15 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:
  • Compared with the benchmark QQQ (0.78) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.16 of NASDAQ 100 Low Volatility Sub-strategy is lower, thus worse.
  • Compared with QQQ (1.69) in the period of the last 3 years, the excess return divided by the downside deviation of -0.02 is lower, 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.'

Which means for our asset as example:
  • Looking at the Downside risk index of 6.81 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 (14 )
  • Compared with QQQ (4.83 ) in the period of the last 3 years, the Ulcer Ratio of 6.55 is larger, thus worse.

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:
  • The maximum DrawDown 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.
  • During the last 3 years, the maximum drop from peak to valley is -15.2 days, which is higher, 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:
  • Looking at the maximum days under water of 460 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 (493 days)
  • During the last 3 years, the maximum time in days below previous high water mark is 460 days, which is larger, thus worse than the value of 113 days from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark QQQ (124 days) in the period of the last 5 years, the average days below previous high of 131 days of NASDAQ 100 Low Volatility Sub-strategy is greater, thus worse.
  • Looking at average days under water in of 159 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to QQQ (29 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.