'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 increase in value over 5 years of First Trust Global Wind Energy ETF is 49.6%, which is smaller, thus worse compared to the benchmark SPY (63%) in the same period.
- Compared with SPY (33.5%) in the period of the last 3 years, the total return, or increase in value of 26.6% is lower, thus worse.

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Which means for our asset as example:- The compounded annual growth rate (CAGR) over 5 years of First Trust Global Wind Energy ETF is 8.4%, which is lower, thus worse compared to the benchmark SPY (10.3%) in the same period.
- Compared with SPY (10.1%) in the period of the last 3 years, the annual performance (CAGR) of 8.2% is smaller, thus worse.

'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:- Looking at the volatility of 23.6% in the last 5 years of First Trust Global Wind Energy ETF, we see it is relatively higher, thus worse in comparison to the benchmark SPY (21.6%)
- Looking at historical 30 days volatility in of 28.3% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (25.1%).

'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 SPY (15.6%) in the period of the last 5 years, the downside volatility of 16.6% of First Trust Global Wind Energy ETF is greater, thus worse.
- During the last 3 years, the downside volatility is 20.1%, which is higher, thus worse than the value of 18.1% from the benchmark.

'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.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (0.36) in the period of the last 5 years, the Sharpe Ratio of 0.25 of First Trust Global Wind Energy ETF is lower, thus worse.
- During the last 3 years, the risk / return profile (Sharpe) is 0.2, which is lower, thus worse than the value of 0.3 from the benchmark.

'The Sortino ratio, a variation of the Sharpe ratio only factors in the downside, or negative volatility, rather than the total volatility used in calculating the Sharpe ratio. The theory behind the Sortino variation is that upside volatility is a plus for the investment, and it, therefore, should not be included in the risk calculation. Therefore, the Sortino ratio takes upside volatility out of the equation and uses only the downside standard deviation in its calculation instead of the total standard deviation that is used in calculating the Sharpe ratio.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (0.5) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.35 of First Trust Global Wind Energy ETF is lower, thus worse.
- Compared with SPY (0.42) in the period of the last 3 years, the downside risk / excess return profile of 0.28 is lower, thus worse.

'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.'

Using this definition on our asset we see for example:- The Downside risk index over 5 years of First Trust Global Wind Energy ETF is 17 , which is greater, thus worse compared to the benchmark SPY (8.88 ) in the same period.
- Compared with SPY (11 ) in the period of the last 3 years, the Ulcer Ratio of 21 is higher, thus worse.

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Using this definition on our asset we see for example:- Looking at the maximum drop from peak to valley of -42.8 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 (-33.7 days)
- Looking at maximum drop from peak to valley in of -42.8 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-33.7 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:- Looking at the maximum time in days below previous high water mark of 522 days 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 (273 days)
- Compared with SPY (273 days) in the period of the last 3 years, the maximum days under water of 522 days is larger, thus worse.

'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 159 days, which is larger, thus worse compared to the benchmark SPY (57 days) in the same period.
- Looking at average time in days below previous high water mark in of 202 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (73 days).

Historical returns have been extended using synthetic data.
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- Note that yearly returns do not equal 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.