Description

The NASDAQ 100 leaders is a sub-strategy that uses proprietary risk-adjusted momentum to pick the most appropriate 4 NASDAQ 100 stocks. It is part for the Nasdaq 100 hedged strategy where it is combined with a variable hedge.

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, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Which means for our asset as example:
  • Looking at the total return, or performance of 535.7% in the last 5 years of NASDAQ 100 Leaders Sub-strategy, we see it is relatively greater, thus better in comparison to the benchmark QQQ (150.9%)
  • Compared with QQQ (24.5%) in the period of the last 3 years, the total return, or increase in value of 25.1% is greater, thus better.

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.'

Applying this definition to our asset in some examples:
  • Looking at the annual return (CAGR) of 44.8% in the last 5 years of NASDAQ 100 Leaders Sub-strategy, we see it is relatively greater, thus better in comparison to the benchmark QQQ (20.2%)
  • During the last 3 years, the compounded annual growth rate (CAGR) is 7.8%, which is larger, thus better than the value of 7.6% from the benchmark.

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Using this definition on our asset we see for example:
  • Compared with the benchmark QQQ (25.5%) in the period of the last 5 years, the historical 30 days volatility of 37.6% of NASDAQ 100 Leaders Sub-strategy is higher, thus worse.
  • Compared with QQQ (23.8%) in the period of the last 3 years, the historical 30 days volatility of 31.8% is higher, thus worse.

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.'

Which means for our asset as example:
  • Looking at the downside volatility of 25.6% in the last 5 years of NASDAQ 100 Leaders Sub-strategy, we see it is relatively larger, thus worse in comparison to the benchmark QQQ (18%)
  • Looking at downside deviation in of 21.8% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to QQQ (16.7%).

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.'

Which means for our asset as example:
  • Looking at the risk / return profile (Sharpe) of 1.13 in the last 5 years of NASDAQ 100 Leaders Sub-strategy, we see it is relatively greater, thus better in comparison to the benchmark QQQ (0.7)
  • During the last 3 years, the risk / return profile (Sharpe) is 0.17, which is lower, thus worse than the value of 0.21 from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark QQQ (0.98) in the period of the last 5 years, the downside risk / excess return profile of 1.65 of NASDAQ 100 Leaders Sub-strategy is greater, thus better.
  • During the last 3 years, the downside risk / excess return profile is 0.24, which is lower, thus worse than the value of 0.3 from the benchmark.

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:
  • Compared with the benchmark QQQ (14 ) in the period of the last 5 years, the Ulcer Ratio of 21 of NASDAQ 100 Leaders Sub-strategy is larger, thus worse.
  • During the last 3 years, the Ulcer Ratio is 25 , which is larger, thus worse 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 DrawDown of -45.1 days of NASDAQ 100 Leaders Sub-strategy is lower, thus worse.
  • Compared with QQQ (-35.1 days) in the period of the last 3 years, the maximum reduction from previous high of -45.1 days is lower, thus worse.

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:
  • Looking at the maximum days under water of 507 days in the last 5 years of NASDAQ 100 Leaders Sub-strategy, we see it is relatively larger, thus worse in comparison to the benchmark QQQ (493 days)
  • During the last 3 years, the maximum days below previous high is 507 days, which is higher, thus worse than the value of 493 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.'

Which means for our asset as example:
  • The average days under water over 5 years of NASDAQ 100 Leaders Sub-strategy is 136 days, which is greater, thus worse compared to the benchmark QQQ (123 days) in the same period.
  • Compared with QQQ (179 days) in the period of the last 3 years, the average time in days below previous high water mark of 190 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 Leaders 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.