Description

Emerging Markets Internet and Ecommerce ETF (The)

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.'

Applying this definition to our asset in some examples:
  • The total return, or performance over 5 years of Emerging Markets Internet and Ecommerce ETF is 5.5%, which is smaller, thus worse compared to the benchmark SPY (99.9%) in the same period.
  • During the last 3 years, the total return is -42.1%, which is lower, thus worse than the value of 35% 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.'

Applying this definition to our asset in some examples:
  • Looking at the compounded annual growth rate (CAGR) of 1.1% in the last 5 years of Emerging Markets Internet and Ecommerce ETF, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (14.9%)
  • During the last 3 years, the annual performance (CAGR) is -16.7%, which is lower, thus worse than the value of 10.5% from the benchmark.

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Using this definition on our asset we see for example:
  • Looking at the 30 days standard deviation of 36.4% in the last 5 years of Emerging Markets Internet and Ecommerce ETF, we see it is relatively larger, thus worse in comparison to the benchmark SPY (20.9%)
  • Looking at 30 days standard deviation in of 38.1% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (17.3%).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (15%) in the period of the last 5 years, the downside deviation of 24.6% of Emerging Markets Internet and Ecommerce ETF is greater, thus worse.
  • During the last 3 years, the downside risk is 25.3%, which is larger, thus worse than the value of 12% from the benchmark.

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.59) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of -0.04 of Emerging Markets Internet and Ecommerce ETF is lower, thus worse.
  • Looking at ratio of return and volatility (Sharpe) in of -0.5 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.47).

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.'

Applying this definition to our asset in some examples:
  • Looking at the ratio of annual return and downside deviation of -0.06 in the last 5 years of Emerging Markets Internet and Ecommerce ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.83)
  • During the last 3 years, the downside risk / excess return profile is -0.76, which is lower, thus worse than the value of 0.67 from the benchmark.

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 Downside risk index over 5 years of Emerging Markets Internet and Ecommerce ETF is 46 , which is greater, thus worse compared to the benchmark SPY (9.32 ) in the same period.
  • Looking at Ulcer Index in of 43 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (10 ).

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 drop from peak to valley of -73.2 days in the last 5 years of Emerging Markets Internet and Ecommerce ETF, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (-33.7 days)
  • During the last 3 years, the maximum DrawDown is -62.8 days, which is lower, thus worse than the value of -24.5 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'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 860 days of Emerging Markets Internet and Ecommerce ETF is higher, thus worse.
  • During the last 3 years, the maximum time in days below previous high water mark is 752 days, which is greater, thus worse than the value of 488 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:
  • Compared with the benchmark SPY (124 days) in the period of the last 5 years, the average days under water of 318 days of Emerging Markets Internet and Ecommerce ETF is greater, thus worse.
  • Looking at average time in days below previous high water mark in of 377 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (181 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 Emerging Markets Internet and Ecommerce ETF are hypothetical and do not account for slippage, fees or taxes.