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.'

Applying this definition to our asset in some examples:
  • The total return, or performance over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 37.6%, which is lower, thus worse compared to the benchmark QQQ (105.5%) in the same period.
  • Looking at total return, or increase in value in of 1.1% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to QQQ (113%).

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

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 (15.6%)
  • Looking at annual return (CAGR) in of 0.4% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to QQQ (28.8%).

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 (22.4%) in the period of the last 5 years, the historical 30 days volatility of 14% of NASDAQ 100 Low Volatility Sub-strategy is lower, thus better.
  • Looking at historical 30 days volatility in of 13.8% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to QQQ (19.7%).

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 smaller, thus better.
  • During the last 3 years, the downside risk is 9.8%, which is lower, thus better than the value of 13.2% from the benchmark.

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 risk / return profile (Sharpe) over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 0.29, which is smaller, thus worse compared to the benchmark QQQ (0.58) in the same period.
  • During the last 3 years, the ratio of return and volatility (Sharpe) is -0.15, which is lower, thus worse than the value of 1.34 from the benchmark.

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.'

Which means for our asset as example:
  • The downside risk / excess return profile over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 0.42, which is smaller, thus worse compared to the benchmark QQQ (0.84) in the same period.
  • Compared with QQQ (1.99) in the period of the last 3 years, the downside risk / excess return profile of -0.22 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.'

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 6.43 of NASDAQ 100 Low Volatility Sub-strategy is lower, thus better.
  • Compared with QQQ (4.85 ) in the period of the last 3 years, the Ulcer Ratio of 7.51 is greater, thus worse.

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.'

Which means for our asset as example:
  • Compared with the benchmark QQQ (-35.1 days) in the period of the last 5 years, the maximum DrawDown of -15.2 days of NASDAQ 100 Low Volatility Sub-strategy is higher, thus better.
  • During the last 3 years, the maximum DrawDown is -15.2 days, which is larger, 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). 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'

Using this definition on our asset we see for example:
  • Compared with the benchmark QQQ (493 days) in the period of the last 5 years, the maximum days below previous high of 383 days of NASDAQ 100 Low Volatility Sub-strategy is lower, thus better.
  • Compared with QQQ (113 days) in the period of the last 3 years, the maximum days below previous high of 383 days is larger, thus worse.

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.'

Which means for our asset as example:
  • The average days under water over 5 years of NASDAQ 100 Low Volatility Sub-strategy is 106 days, which is smaller, thus better compared to the benchmark QQQ (124 days) in the same period.
  • Looking at average days below previous high in of 153 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to QQQ (31 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.