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.'

Which means for our asset as example:
  • The total return over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 24.9%, which is lower, thus worse compared to the benchmark QQQ (104.2%) in the same period.
  • During the last 3 years, the total return, or increase in value is 5.6%, which is lower, thus worse than the value of 100.8% 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark QQQ (15.4%) in the period of the last 5 years, the annual return (CAGR) of 4.6% of NASDAQ 100 Low Volatility Sub-strategy is lower, thus worse.
  • Compared with QQQ (26.3%) in the period of the last 3 years, the annual return (CAGR) of 1.8% is lower, thus worse.

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:
  • Looking at the 30 days standard deviation 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 (23%)
  • Compared with QQQ (20.5%) in the period of the last 3 years, the historical 30 days volatility of 13.7% is lower, thus better.

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 (15.9%) in the period of the last 5 years, the downside risk of 9.8% of NASDAQ 100 Low Volatility Sub-strategy is smaller, thus better.
  • During the last 3 years, the downside deviation 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark QQQ (0.56) in the period of the last 5 years, the Sharpe Ratio of 0.15 of NASDAQ 100 Low Volatility Sub-strategy is lower, thus worse.
  • During the last 3 years, the Sharpe Ratio is -0.05, which is lower, thus worse than the value of 1.16 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:
  • Looking at the excess return divided by the downside deviation of 0.21 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 (0.81)
  • Looking at excess return divided by the downside deviation in of -0.07 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to QQQ (1.71).

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Applying this definition to our asset in some examples:
  • Looking at the Ulcer Index of 6.79 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 )
  • During the last 3 years, the Downside risk index is 6.51 , which is greater, thus worse than the value of 4.83 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark QQQ (-35.1 days) in the period of the last 5 years, the maximum reduction from previous high of -15.2 days of NASDAQ 100 Low Volatility Sub-strategy is higher, thus better.
  • Looking at maximum DrawDown in of -15.2 days in the period of the last 3 years, we see it is relatively greater, thus better in comparison to QQQ (-22.8 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:
  • The maximum days below previous high over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 455 days, which is lower, thus better compared to the benchmark QQQ (493 days) in the same period.
  • Compared with QQQ (113 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 455 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.'

Which means for our asset as example:
  • Looking at the average time in days below previous high water mark of 130 days in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively greater, thus worse in comparison to the benchmark QQQ (124 days)
  • During the last 3 years, the average days below previous high is 155 days, which is greater, thus worse than the value of 29 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.