Description

The investment seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the Ardour Global IndexSM (Extra Liquid). The fund normally invests at least 80% of its total assets in stocks of low carbon energy companies. Such companies may include small- and medium-capitalization companies and foreign issuers. ?Low carbon energy companies? refers to companies primarily engaged in alternative energy, including renewable energy, alternative fuels and related enabling technologies (such as advanced batteries). It is non-diversified.

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (107.8%) in the period of the last 5 years, the total return, or performance of 51.3% of VanEck Vectors Low Carbon Energy ETF is lower, thus worse.
  • Compared with SPY (43.5%) in the period of the last 3 years, the total return of -11.9% is lower, thus worse.

CAGR:

'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 compounded annual growth rate (CAGR) over 5 years of VanEck Vectors Low Carbon Energy ETF is 8.7%, which is lower, thus worse compared to the benchmark SPY (15.8%) in the same period.
  • Compared with SPY (12.9%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of -4.1% is smaller, thus worse.

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:
  • The historical 30 days volatility over 5 years of VanEck Vectors Low Carbon Energy ETF is 28%, which is larger, thus worse compared to the benchmark SPY (17.9%) in the same period.
  • Looking at historical 30 days volatility in of 25.2% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (18.4%).

DownVol:

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

Using this definition on our asset we see for example:
  • The downside volatility over 5 years of VanEck Vectors Low Carbon Energy ETF is 19.1%, which is larger, thus worse compared to the benchmark SPY (12.5%) in the same period.
  • Compared with SPY (12.6%) in the period of the last 3 years, the downside deviation of 17.5% 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.'

Which means for our asset as example:
  • The ratio of return and volatility (Sharpe) over 5 years of VanEck Vectors Low Carbon Energy ETF is 0.22, which is lower, thus worse compared to the benchmark SPY (0.74) in the same period.
  • During the last 3 years, the ratio of return and volatility (Sharpe) is -0.26, which is lower, thus worse than the value of 0.56 from the benchmark.

Sortino:

'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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (1.07) in the period of the last 5 years, the excess return divided by the downside deviation of 0.32 of VanEck Vectors Low Carbon Energy ETF is lower, thus worse.
  • Compared with SPY (0.82) in the period of the last 3 years, the ratio of annual return and downside deviation of -0.38 is lower, thus worse.

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.'

Applying this definition to our asset in some examples:
  • The Ulcer Ratio over 5 years of VanEck Vectors Low Carbon Energy ETF is 34 , which is higher, thus worse compared to the benchmark SPY (8.48 ) in the same period.
  • Looking at Downside risk index in of 22 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (5.54 ).

MaxDD:

'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:
  • The maximum DrawDown over 5 years of VanEck Vectors Low Carbon Energy ETF is -51.1 days, which is lower, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum reduction from previous high of -34.6 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:
  • The maximum time in days below previous high water mark over 5 years of VanEck Vectors Low Carbon Energy ETF is 1078 days, which is greater, thus worse compared to the benchmark SPY (488 days) in the same period.
  • Compared with SPY (199 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 686 days is higher, thus worse.

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:
  • Looking at the average days below previous high of 491 days in the last 5 years of VanEck Vectors Low Carbon Energy ETF, we see it is relatively higher, thus worse in comparison to the benchmark SPY (119 days)
  • During the last 3 years, the average days below previous high is 319 days, which is higher, thus worse than the value of 44 days from the benchmark.

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 VanEck Vectors Low Carbon Energy ETF are hypothetical and do not account for slippage, fees or taxes.