Description

The investment seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the MVIS® Indonesia Index. The fund normally invests at least 80% of its total assets in securities that comprise the fund's benchmark index. The index includes securities of Indonesian companies. A company is generally considered to be an Indonesian company if it is incorporated in Indonesia or is incorporated outside of Indonesia but has at least 50% of its revenues/related assets in Indonesia. Such companies may include small- and medium-capitalization companies. 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.'

Using this definition on our asset we see for example:
  • Looking at the total return, or performance of -27.1% in the last 5 years of VanEck Vectors Indonesia Index ETF, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (91.2%)
  • Compared with SPY (30.8%) in the period of the last 3 years, the total return of -18.8% 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:
  • Looking at the compounded annual growth rate (CAGR) of -6.1% in the last 5 years of VanEck Vectors Indonesia Index ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (13.9%)
  • During the last 3 years, the annual return (CAGR) is -6.8%, which is lower, thus worse than the value of 9.4% 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.'

Applying this definition to our asset in some examples:
  • The volatility over 5 years of VanEck Vectors Indonesia Index ETF is 26%, which is higher, thus worse compared to the benchmark SPY (21%) in the same period.
  • Compared with SPY (17.5%) in the period of the last 3 years, the volatility of 17.6% is higher, thus worse.

DownVol:

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

Applying this definition to our asset in some examples:
  • Looking at the downside risk of 19.3% in the last 5 years of VanEck Vectors Indonesia Index ETF, we see it is relatively higher, thus worse in comparison to the benchmark SPY (15%)
  • During the last 3 years, the downside volatility is 12.9%, which is larger, thus worse than the value of 12.3% from the benchmark.

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.54) in the period of the last 5 years, the risk / return profile (Sharpe) of -0.33 of VanEck Vectors Indonesia Index ETF is lower, thus worse.
  • During the last 3 years, the Sharpe Ratio is -0.53, which is lower, thus worse than the value of 0.4 from the benchmark.

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Applying this definition to our asset in some examples:
  • The excess return divided by the downside deviation over 5 years of VanEck Vectors Indonesia Index ETF is -0.45, which is lower, thus worse compared to the benchmark SPY (0.76) in the same period.
  • Compared with SPY (0.56) in the period of the last 3 years, the excess return divided by the downside deviation of -0.72 is smaller, 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (9.33 ) in the period of the last 5 years, the Ulcer Ratio of 20 of VanEck Vectors Indonesia Index ETF is greater, thus worse.
  • During the last 3 years, the Downside risk index is 17 , which is larger, thus worse than the value of 8.89 from the benchmark.

MaxDD:

'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.'

Which means for our asset as example:
  • Looking at the maximum reduction from previous high of -54.8 days in the last 5 years of VanEck Vectors Indonesia Index ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-33.7 days)
  • Compared with SPY (-22.4 days) in the period of the last 3 years, the maximum DrawDown of -28.8 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.'

Applying this definition to our asset in some examples:
  • Looking at the maximum days below previous high of 1253 days in the last 5 years of VanEck Vectors Indonesia Index ETF, we see it is relatively higher, thus worse in comparison to the benchmark SPY (488 days)
  • During the last 3 years, the maximum time in days below previous high water mark is 675 days, which is larger, thus worse than the value of 375 days from the benchmark.

AveDuration:

'The Average 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. 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 under water over 5 years of VanEck Vectors Indonesia Index ETF is 626 days, which is higher, thus worse compared to the benchmark SPY (122 days) in the same period.
  • Looking at average days below previous high in of 310 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (114 days).

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 Indonesia Index ETF are hypothetical and do not account for slippage, fees or taxes.