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 increase in value of 37.4% 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 (87.1%)
  • Looking at total return, or increase in value in of 3.4% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to QQQ (87.8%).

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:
  • Looking at the annual return (CAGR) of 6.6% 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 (13.4%)
  • Looking at compounded annual growth rate (CAGR) in of 1.1% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to QQQ (23.5%).

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:
  • The 30 days standard deviation over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 14%, which is lower, thus better compared to the benchmark QQQ (22.3%) in the same period.
  • Compared with QQQ (19.5%) in the period of the last 3 years, the 30 days standard deviation of 13.7% is lower, thus better.

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. 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:
  • Compared with the benchmark QQQ (15.5%) in the period of the last 5 years, the downside deviation of 9.8% of NASDAQ 100 Low Volatility Sub-strategy is lower, thus better.
  • During the last 3 years, the downside deviation is 9.7%, which is lower, thus better than the value of 13.2% 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 (0.49) in the period of the last 5 years, the Sharpe Ratio of 0.29 of NASDAQ 100 Low Volatility Sub-strategy is smaller, thus worse.
  • Compared with QQQ (1.07) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of -0.1 is smaller, thus worse.

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.'

Using this definition on our asset we see for example:
  • The ratio of annual return and downside deviation over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 0.41, which is smaller, thus worse compared to the benchmark QQQ (0.7) in the same period.
  • During the last 3 years, the ratio of annual return and downside deviation is -0.14, which is smaller, thus worse than the value of 1.58 from the benchmark.

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark QQQ (14 ) in the period of the last 5 years, the Ulcer Index of 6.32 of NASDAQ 100 Low Volatility Sub-strategy is smaller, thus better.
  • During the last 3 years, the Downside risk index is 7.34 , which is greater, thus worse than the value of 4.77 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.'

Applying this definition to our asset in some examples:
  • Looking at the maximum DrawDown of -15.2 days in the last 5 years of NASDAQ 100 Low Volatility Sub-strategy, we see it is relatively greater, thus better in comparison to the benchmark QQQ (-35.1 days)
  • During the last 3 years, the maximum drop from peak to valley is -15.2 days, which is greater, thus better than the value of -22.8 days from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • 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 358 days of NASDAQ 100 Low Volatility Sub-strategy is smaller, thus better.
  • Looking at maximum days under water in of 358 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to QQQ (101 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.'

Applying this definition to our asset in some examples:
  • Looking at the average days below previous high of 99 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 (123 days)
  • During the last 3 years, the average days under water is 142 days, which is larger, 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.