Description

The investment seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the NYSE® Arca Steel Index The fund normally invests at least 80% of its total assets in common stocks and depositary receipts of companies involved in the steel sector. Such companies may include small- and medium-capitalization companies and foreign and emerging market issuers. It may concentrate its investments in a particular industry or group of industries to the extent that the Steel Index concentrates in an industry or group of industries. The fund is non-diversified.

Statistics (YTD)

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

TotalReturn:

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Using this definition on our asset we see for example:
  • The total return over 5 years of VanEck Vectors Steel ETF is 118.1%, which is smaller, thus worse compared to the benchmark SPY (129.1%) in the same period.
  • Looking at total return, or increase in value in of 46.7% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (71.3%).

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.'

Applying this definition to our asset in some examples:
  • Looking at the annual performance (CAGR) of 16.9% in the last 5 years of VanEck Vectors Steel ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (18.1%)
  • Looking at compounded annual growth rate (CAGR) in of 13.6% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (19.7%).

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (18.7%) in the period of the last 5 years, the historical 30 days volatility of 33.4% of VanEck Vectors Steel ETF is larger, thus worse.
  • Compared with SPY (22.5%) in the period of the last 3 years, the historical 30 days volatility of 37.5% is higher, thus worse.

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (13.6%) in the period of the last 5 years, the downside risk of 23.6% of VanEck Vectors Steel ETF is larger, thus worse.
  • Looking at downside deviation in of 26.9% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (16.3%).

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:
  • Looking at the ratio of return and volatility (Sharpe) of 0.43 in the last 5 years of VanEck Vectors Steel ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.83)
  • Compared with SPY (0.76) in the period of the last 3 years, the Sharpe Ratio of 0.3 is smaller, thus worse.

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.'

Using this definition on our asset we see for example:
  • Looking at the ratio of annual return and downside deviation of 0.61 in the last 5 years of VanEck Vectors Steel ETF, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (1.15)
  • Compared with SPY (1.05) in the period of the last 3 years, the downside risk / excess return profile of 0.41 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (5.59 ) in the period of the last 5 years, the Ulcer Ratio of 22 of VanEck Vectors Steel ETF is larger, thus worse.
  • Looking at Ulcer Index in of 19 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (6.38 ).

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.'

Which means for our asset as example:
  • Looking at the maximum drop from peak to valley of -61.9 days in the last 5 years of VanEck Vectors Steel ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-33.7 days)
  • During the last 3 years, the maximum reduction from previous high is -56 days, which is lower, thus worse than the value of -33.7 days from the benchmark.

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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

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 Steel ETF is 719 days, which is larger, thus worse compared to the benchmark SPY (139 days) in the same period.
  • Looking at maximum days under water in of 533 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (119 days).

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.'

Applying this definition to our asset in some examples:
  • The average days below previous high over 5 years of VanEck Vectors Steel ETF is 238 days, which is greater, thus worse compared to the benchmark SPY (32 days) in the same period.
  • Compared with SPY (25 days) in the period of the last 3 years, the average time in days below previous high water mark of 203 days is higher, thus worse.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations
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Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of VanEck Vectors Steel 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.