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 of 169.7% 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 (163.8%)
  • Looking at total return, or increase in value in of 18.4% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to QQQ (33.4%).

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 (21.4%) in the period of the last 5 years, the annual return (CAGR) of 22% of NASDAQ 100 Low Volatility Sub-strategy is higher, thus better.
  • Compared with QQQ (10.1%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 5.8% is smaller, 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark QQQ (25.5%) in the period of the last 5 years, the volatility of 19.4% of NASDAQ 100 Low Volatility Sub-strategy is smaller, thus better.
  • During the last 3 years, the volatility is 13.1%, which is lower, thus better than the value of 23.7% from the benchmark.

DownVol:

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

Applying this definition to our asset in some examples:
  • Compared with the benchmark QQQ (18%) in the period of the last 5 years, the downside deviation of 13.2% of NASDAQ 100 Low Volatility Sub-strategy is lower, thus better.
  • Compared with QQQ (16.6%) in the period of the last 3 years, the downside deviation of 9.3% is smaller, 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.'

Applying this definition to our asset in some examples:
  • The Sharpe Ratio over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 1, which is larger, thus better compared to the benchmark QQQ (0.74) in the same period.
  • Compared with QQQ (0.32) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.25 is smaller, thus worse.

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Which means for our asset as example:
  • The excess return divided by the downside deviation over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 1.47, which is higher, thus better compared to the benchmark QQQ (1.05) in the same period.
  • During the last 3 years, the excess return divided by the downside deviation is 0.36, which is smaller, thus worse than the value of 0.46 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 Downside risk index of 5.99 of NASDAQ 100 Low Volatility Sub-strategy is lower, thus better.
  • During the last 3 years, the Ulcer Ratio is 6.1 , which is smaller, thus better than the value of 17 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 drop from peak to valley of -29.3 days of NASDAQ 100 Low Volatility Sub-strategy is larger, thus better.
  • Looking at maximum DrawDown in of -13.6 days in the period of the last 3 years, we see it is relatively higher, thus better in comparison to QQQ (-35.1 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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Which means for our asset as example:
  • The maximum days below previous high over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 273 days, which is smaller, thus better compared to the benchmark QQQ (493 days) in the same period.
  • Looking at maximum days under water in of 273 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to QQQ (493 days).

AveDuration:

'The Average 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. 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 (123 days) in the period of the last 5 years, the average days under water of 52 days of NASDAQ 100 Low Volatility Sub-strategy is lower, thus better.
  • Looking at average days below previous high in of 71 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to QQQ (180 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.