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:

'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.'

Using this definition on our asset we see for example:
  • The total return, or increase in value over 5 years of VanEck Vectors Indonesia Index ETF is -37.7%, which is lower, thus worse compared to the benchmark SPY (86.2%) in the same period.
  • During the last 3 years, the total return is -36.6%, which is lower, thus worse than the value of 78.3% from the benchmark.

CAGR:

'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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (13.3%) in the period of the last 5 years, the annual return (CAGR) of -9.1% of VanEck Vectors Indonesia Index ETF is lower, thus worse.
  • During the last 3 years, the annual return (CAGR) is -14.2%, which is lower, thus worse than the value of 21.4% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the 30 days standard deviation of 20.9% in the last 5 years of VanEck Vectors Indonesia Index ETF, we see it is relatively larger, thus worse in comparison to the benchmark SPY (17.1%)
  • During the last 3 years, the volatility is 23.1%, which is higher, thus worse than the value of 15.2% from the benchmark.

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:
  • The downside volatility over 5 years of VanEck Vectors Indonesia Index ETF is 15.6%, which is greater, thus worse compared to the benchmark SPY (11.8%) in the same period.
  • Compared with SPY (10.2%) in the period of the last 3 years, the downside risk of 17.4% is larger, 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 risk / return profile (Sharpe) over 5 years of VanEck Vectors Indonesia Index ETF is -0.55, which is lower, thus worse compared to the benchmark SPY (0.63) in the same period.
  • Compared with SPY (1.24) in the period of the last 3 years, the Sharpe Ratio of -0.72 is smaller, thus worse.

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.'

Using this definition on our asset we see for example:
  • Looking at the excess return divided by the downside deviation of -0.74 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 (0.91)
  • Compared with SPY (1.85) in the period of the last 3 years, the excess return divided by the downside deviation of -0.96 is lower, thus worse.

Ulcer:

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Applying this definition to our asset in some examples:
  • The Ulcer Index over 5 years of VanEck Vectors Indonesia Index ETF is 20 , which is greater, thus worse compared to the benchmark SPY (8.45 ) in the same period.
  • Compared with SPY (3.51 ) in the period of the last 3 years, the Downside risk index of 16 is higher, thus worse.

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.'

Applying this definition to our asset in some examples:
  • The maximum drop from peak to valley over 5 years of VanEck Vectors Indonesia Index ETF is -51.3 days, which is lower, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • During the last 3 years, the maximum drop from peak to valley is -46.7 days, which is lower, thus worse than the value of -18.8 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'

Which means for our asset as example:
  • Looking at the maximum days below previous high of 1029 days in the last 5 years of VanEck Vectors Indonesia Index ETF, we see it is relatively larger, thus worse in comparison to the benchmark SPY (488 days)
  • Looking at maximum days under water in of 432 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (87 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.'

Which means for our asset as example:
  • The average days below previous high over 5 years of VanEck Vectors Indonesia Index ETF is 435 days, which is higher, thus worse compared to the benchmark SPY (120 days) in the same period.
  • Compared with SPY (20 days) in the period of the last 3 years, the average days below previous high of 181 days is larger, thus worse.

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.