'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:- Compared with the benchmark SPY (68.7%) in the period of the last 5 years, the total return of 20.3% of First Trust Global Wind Energy ETF is lower, thus worse.
- During the last 3 years, the total return, or performance is 23.1%, which is lower, thus worse than the value of 47.9% from the benchmark.

'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.'

Which means for our asset as example:- The annual performance (CAGR) over 5 years of First Trust Global Wind Energy ETF is 3.8%, which is smaller, thus worse compared to the benchmark SPY (11%) in the same period.
- Compared with SPY (14%) in the period of the last 3 years, the annual return (CAGR) of 7.2% is lower, thus worse.

'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.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (13.3%) in the period of the last 5 years, the volatility of 16.6% of First Trust Global Wind Energy ETF is larger, thus worse.
- During the last 3 years, the 30 days standard deviation is 14.3%, which is larger, thus worse than the value of 12.5% from the benchmark.

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

Which means for our asset as example:- Looking at the downside volatility of 17.7% 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 (14.6%)
- Looking at downside risk in of 15.7% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (14.2%).

'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.'

Applying this definition to our asset in some examples:- Looking at the ratio of return and volatility (Sharpe) of 0.08 in the last 5 years of First Trust Global Wind Energy ETF, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.64)
- Looking at ratio of return and volatility (Sharpe) in of 0.33 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.91).

'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 First Trust Global Wind Energy ETF is 0.07, which is lower, thus worse compared to the benchmark SPY (0.58) in the same period.
- Compared with SPY (0.81) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.3 is lower, thus worse.

'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.'

Using this definition on our asset we see for example:- Looking at the Downside risk index of 11 in the last 5 years of First Trust Global Wind Energy ETF, we see it is relatively larger, thus better in comparison to the benchmark SPY (3.96 )
- During the last 3 years, the Downside risk index is 7.17 , which is greater, thus better than the value of 4.01 from the benchmark.

'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:- The maximum reduction from previous high over 5 years of First Trust Global Wind Energy ETF is -24.9 days, which is smaller, thus worse compared to the benchmark SPY (-19.3 days) in the same period.
- Looking at maximum DrawDown in of -19.6 days in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (-19.3 days).

'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.'

Which means for our asset as example:- The maximum time in days below previous high water mark over 5 years of First Trust Global Wind Energy ETF is 515 days, which is larger, thus worse compared to the benchmark SPY (187 days) in the same period.
- Looking at maximum days below previous high in of 251 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (139 days).

'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:- The average days under water over 5 years of First Trust Global Wind Energy ETF is 152 days, which is larger, thus worse compared to the benchmark SPY (41 days) in the same period.
- During the last 3 years, the average days under water is 73 days, which is greater, thus worse than the value of 36 days from the benchmark.

Historical returns have been extended using synthetic data.
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- "Year" returns in the table above are not equal to the sum of monthly returns due to compounding.
- Performance results of First Trust Global Wind Energy ETF are hypothetical, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.