Description

Emerging Markets Internet and Ecommerce ETF (The)

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (106.2%) in the period of the last 5 years, the total return, or increase in value of -9.7% of Emerging Markets Internet and Ecommerce ETF is lower, thus worse.
  • Compared with SPY (69.9%) in the period of the last 3 years, the total return of 32% 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:
  • The compounded annual growth rate (CAGR) over 5 years of Emerging Markets Internet and Ecommerce ETF is -2%, which is lower, thus worse compared to the benchmark SPY (15.6%) in the same period.
  • Compared with SPY (19.5%) in the period of the last 3 years, the annual return (CAGR) of 9.8% is smaller, thus worse.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (17.6%) in the period of the last 5 years, the 30 days standard deviation of 35.1% of Emerging Markets Internet and Ecommerce ETF is larger, thus worse.
  • During the last 3 years, the volatility is 29%, which is larger, thus worse than the value of 17.7% from the benchmark.

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.'

Which means for our asset as example:
  • The downside risk over 5 years of Emerging Markets Internet and Ecommerce ETF is 23.5%, which is larger, thus worse compared to the benchmark SPY (12.2%) in the same period.
  • Looking at downside volatility in of 19.8% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (11.6%).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.74) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of -0.13 of Emerging Markets Internet and Ecommerce ETF is lower, thus worse.
  • During the last 3 years, the Sharpe Ratio is 0.25, which is lower, thus worse than the value of 0.96 from the benchmark.

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.'

Which means for our asset as example:
  • Looking at the ratio of annual return and downside deviation of -0.19 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 (1.08)
  • Looking at ratio of annual return and downside deviation in of 0.37 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.46).

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:
  • Looking at the Downside risk index of 51 in the last 5 years of Emerging Markets Internet and Ecommerce ETF, we see it is relatively greater, thus worse in comparison to the benchmark SPY (8.48 )
  • During the last 3 years, the Ulcer Index is 13 , which is greater, thus worse than the value of 5.32 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:
  • The maximum drop from peak to valley over 5 years of Emerging Markets Internet and Ecommerce ETF is -73.2 days, which is lower, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • Looking at maximum reduction from previous high in of -35 days in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (-18.8 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). 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:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 1088 days of Emerging Markets Internet and Ecommerce ETF is greater, thus worse.
  • Looking at maximum days below previous high in of 325 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (199 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 time in days below previous high water mark over 5 years of Emerging Markets Internet and Ecommerce ETF is 489 days, which is larger, thus worse compared to the benchmark SPY (120 days) in the same period.
  • Compared with SPY (46 days) in the period of the last 3 years, the average days under water of 106 days is higher, 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 Emerging Markets Internet and Ecommerce ETF are hypothetical and do not account for slippage, fees or taxes.