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:
  • The total return over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 53.1%, which is lower, thus worse compared to the benchmark QQQ (95.1%) in the same period.
  • Looking at total return, or performance in of 13.4% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to QQQ (110.7%).

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:
  • Looking at the annual performance (CAGR) of 8.9% 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 (14.4%)
  • Looking at annual performance (CAGR) in of 4.3% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to QQQ (28.3%).

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 volatility over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 14%, which is smaller, 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 volatility 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:
  • 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 (15.5%)
  • Compared with QQQ (13.1%) in the period of the last 3 years, the downside deviation of 9.6% is lower, thus better.

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.'

Which means for our asset as example:
  • Compared with the benchmark QQQ (0.53) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.46 of NASDAQ 100 Low Volatility Sub-strategy is lower, thus worse.
  • Compared with QQQ (1.32) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.13 is lower, thus worse.

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:
  • Looking at the ratio of annual return and downside deviation of 0.66 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 (0.76)
  • Compared with QQQ (1.97) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.19 is lower, thus worse.

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.'

Using this definition on our asset we see for example:
  • The Ulcer Index over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 6.28 , which is lower, thus better compared to the benchmark QQQ (14 ) in the same period.
  • Compared with QQQ (4.69 ) in the period of the last 3 years, the Ulcer Index of 7.29 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 reduction from previous high 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.
  • Looking at maximum DrawDown in of -15.2 days in the period of the last 3 years, we see it is relatively larger, thus better in comparison to QQQ (-22.8 days).

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.'

Which means for our asset as example:
  • Looking at the maximum days below previous high of 348 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 348 days, which is greater, thus worse than the value of 91 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark QQQ (123 days) in the period of the last 5 years, the average time in days below previous high water mark of 96 days of NASDAQ 100 Low Volatility Sub-strategy is smaller, thus better.
  • Compared with QQQ (28 days) in the period of the last 3 years, the average days under water of 139 days is higher, thus worse.

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.