VanEck Vectors Coal ETF (KOL)

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 -8.1% in the last 5 years of VanEck Vectors Coal ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (98.3%)
• Compared with SPY (27.2%) in the period of the last 3 years, the total return, or performance of 0% 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.'

• Compared with the benchmark SPY (14.7%) in the period of the last 5 years, the annual performance (CAGR) of -1.7% of VanEck Vectors Coal ETF is lower, thus worse.
• During the last 3 years, the annual return (CAGR) is 0%, which is smaller, thus worse than the value of 8.4% 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.'

• The volatility over 5 years of VanEck Vectors Coal ETF is 17.9%, which is smaller, thus better compared to the benchmark SPY (20.9%) in the same period.
• Looking at historical 30 days volatility in of 0% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (17.7%).

DownVol:

'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.'

• Looking at the downside volatility of 13.4% in the last 5 years of VanEck Vectors Coal ETF, we see it is relatively smaller, thus better in comparison to the benchmark SPY (14.9%)
• Looking at downside risk in of 0% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (12.4%).

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 ratio of return and volatility (Sharpe) of -0.23 in the last 5 years of VanEck Vectors Coal ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.58)
• Looking at ratio of return and volatility (Sharpe) in of 0 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.33).

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.'

• Looking at the downside risk / excess return profile of -0.31 in the last 5 years of VanEck Vectors Coal ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.82)
• Looking at excess return divided by the downside deviation in of 0 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.47).

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 Downside risk index of 16 in the last 5 years of VanEck Vectors Coal ETF, we see it is relatively greater, thus worse in comparison to the benchmark SPY (9.32 )
• During the last 3 years, the Ulcer Index is 0 , which is smaller, thus better than the value of 10 from the benchmark.

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.'

• The maximum drop from peak to valley over 5 years of VanEck Vectors Coal ETF is -50.1 days, which is lower, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
• Looking at maximum DrawDown in of 0 days in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (-24.5 days).

MaxDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Max Drawdown Duration is the worst (the maximum/longest) amount of time an investment has seen between peaks (equity highs) in days.'

• The maximum days under water over 5 years of VanEck Vectors Coal ETF is 1256 days, which is higher, thus worse compared to the benchmark SPY (488 days) in the same period.
• During the last 3 years, the maximum days under water is 0 days, which is smaller, thus better than the value of 488 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.'

• Looking at the average days below previous high of 629 days in the last 5 years of VanEck Vectors Coal ETF, we see it is relatively higher, thus worse in comparison to the benchmark SPY (123 days)
• During the last 3 years, the average time in days below previous high water mark is 0 days, which is lower, thus better than the value of 177 days from the benchmark.