First Trust Global Wind Energy ETF (FAN)

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.'

• Looking at the total return, or performance of 25.7% in the last 5 years of First Trust Global Wind Energy ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (86.2%)
• Compared with SPY (78.3%) in the period of the last 3 years, the total return, or performance of 47% is lower, thus worse.

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.'

• Compared with the benchmark SPY (13.3%) in the period of the last 5 years, the annual return (CAGR) of 4.7% of First Trust Global Wind Energy ETF is lower, thus worse.
• During the last 3 years, the annual performance (CAGR) is 13.8%, which is lower, thus worse than the value of 21.4% 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.'

• Looking at the volatility of 21.4% in the last 5 years of First Trust Global Wind Energy ETF, we see it is relatively greater, thus worse in comparison to the benchmark SPY (17.1%)
• During the last 3 years, the historical 30 days volatility is 20.5%, which is greater, thus worse than the value of 15.2% from the benchmark.

DownVol:

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

• The downside volatility over 5 years of First Trust Global Wind Energy ETF is 14.8%, which is larger, thus worse compared to the benchmark SPY (11.8%) in the same period.
• Compared with SPY (10.2%) in the period of the last 3 years, the downside risk of 14.3% is higher, thus worse.

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.'

• Looking at the risk / return profile (Sharpe) of 0.1 in the last 5 years of First Trust Global Wind Energy ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.63)
• Looking at ratio of return and volatility (Sharpe) in of 0.55 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.24).

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.'

• Looking at the downside risk / excess return profile of 0.15 in the last 5 years of First Trust Global Wind Energy ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.91)
• During the last 3 years, the downside risk / excess return profile is 0.79, which is smaller, thus worse than the value of 1.85 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.'

• Looking at the Ulcer Ratio of 20 in the last 5 years of First Trust Global Wind Energy ETF, we see it is relatively larger, thus worse in comparison to the benchmark SPY (8.45 )
• Compared with SPY (3.51 ) in the period of the last 3 years, the Ulcer Ratio of 10 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.'

• Looking at the maximum reduction from previous high of -38.4 days in the last 5 years of First Trust Global Wind Energy ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-24.5 days)
• Looking at maximum DrawDown in of -25 days in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (-18.8 days).

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.'

• The maximum days under water over 5 years of First Trust Global Wind Energy ETF is 1085 days, which is greater, thus worse compared to the benchmark SPY (488 days) in the same period.
• During the last 3 years, the maximum days under water is 313 days, which is higher, thus worse than the value of 87 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.'

• The average time in days below previous high water mark over 5 years of First Trust Global Wind Energy ETF is 486 days, which is higher, thus worse compared to the benchmark SPY (120 days) in the same period.
• Looking at average time in days below previous high water mark in of 97 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (20 days).