Description

Global X E-commerce ETF

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:
  • Compared with the benchmark SPY (95%) in the period of the last 5 years, the total return of 4% of Global X E-commerce ETF is smaller, thus worse.
  • During the last 3 years, the total return, or increase in value is 94.2%, which is larger, thus better than the value of 86.2% from the benchmark.

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:
  • Compared with the benchmark SPY (14.3%) in the period of the last 5 years, the annual return (CAGR) of 0.8% of Global X E-commerce ETF is lower, thus worse.
  • During the last 3 years, the annual performance (CAGR) is 24.9%, which is larger, thus better than the value of 23.1% 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 historical 30 days volatility over 5 years of Global X E-commerce ETF is 29.2%, which is higher, thus worse compared to the benchmark SPY (17.1%) in the same period.
  • Looking at historical 30 days volatility in of 23.7% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (15.3%).

DownVol:

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

Using this definition on our asset we see for example:
  • The downside volatility over 5 years of Global X E-commerce ETF is 20.4%, 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 16.1% is higher, thus worse.

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:
  • Looking at the risk / return profile (Sharpe) of -0.06 in the last 5 years of Global X E-commerce ETF, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.69)
  • Looking at ratio of return and volatility (Sharpe) in of 0.94 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.35).

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.'

Using this definition on our asset we see for example:
  • Looking at the ratio of annual return and downside deviation of -0.08 in the last 5 years of Global X E-commerce ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (1.01)
  • Compared with SPY (2.03) in the period of the last 3 years, the downside risk / excess return profile of 1.39 is smaller, thus worse.

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (8.42 ) in the period of the last 5 years, the Ulcer Index of 37 of Global X E-commerce ETF is higher, thus worse.
  • Looking at Ulcer Index in of 9.73 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (3.51 ).

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Using this definition on our asset we see for example:
  • Looking at the maximum drop from peak to valley of -61.6 days in the last 5 years of Global X E-commerce ETF, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (-24.5 days)
  • During the last 3 years, the maximum DrawDown is -25.9 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) in days.'

Using this definition on our asset we see for example:
  • Looking at the maximum days under water of 1233 days in the last 5 years of Global X E-commerce ETF, we see it is relatively larger, thus worse in comparison to the benchmark SPY (488 days)
  • Compared with SPY (87 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 255 days is higher, thus worse.

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:
  • Compared with the benchmark SPY (119 days) in the period of the last 5 years, the average days below previous high of 613 days of Global X E-commerce ETF is greater, thus worse.
  • During the last 3 years, the average time in days below previous high water mark is 65 days, which is higher, thus worse than the value of 21 days from the benchmark.

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 Global X E-commerce ETF are hypothetical and do not account for slippage, fees or taxes.