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 (94.2%) in the period of the last 5 years, the total return of 0.8% of Emerging Markets Internet and Ecommerce ETF is lower, thus worse.
  • Looking at total return, or increase in value in of -41.7% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (27.9%).

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.'

Using this definition on our asset we see for example:
  • Looking at the annual performance (CAGR) of 0.2% 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 (14.2%)
  • Compared with SPY (8.6%) in the period of the last 3 years, the annual return (CAGR) of -16.5% 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.'

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 higher, thus worse in comparison to the benchmark SPY (20.9%)
  • Looking at volatility in of 38.1% in the period of the last 3 years, we see it is relatively larger, 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.'

Using this definition on our asset we see for example:
  • Looking at the downside volatility of 24.6% in the last 5 years of Emerging Markets Internet and Ecommerce ETF, we see it is relatively higher, thus worse in comparison to the benchmark SPY (15%)
  • Looking at downside deviation in of 25.2% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (12.1%).

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.'

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 Emerging Markets Internet and Ecommerce ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.56)
  • Compared with SPY (0.35) in the period of the last 3 years, the risk / return profile (Sharpe) of -0.5 is smaller, thus worse.

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:
  • The ratio of annual return and downside deviation over 5 years of Emerging Markets Internet and Ecommerce ETF is -0.09, which is lower, thus worse compared to the benchmark SPY (0.78) in the same period.
  • Looking at excess return divided by the downside deviation in of -0.75 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.5).

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.'

Using this definition on our asset we see for example:
  • The Ulcer Index over 5 years of Emerging Markets Internet and Ecommerce ETF is 46 , which is larger, thus worse compared to the benchmark SPY (9.32 ) in the same period.
  • Compared with SPY (10 ) in the period of the last 3 years, the Downside risk index of 42 is higher, thus worse.

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum drop from peak to valley of -73.2 days of Emerging Markets Internet and Ecommerce ETF is lower, thus worse.
  • Compared with SPY (-24.5 days) in the period of the last 3 years, the maximum reduction from previous high of -61.7 days is lower, thus worse.

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.'

Applying this definition to our asset in some examples:
  • The maximum time in days below previous high water mark over 5 years of Emerging Markets Internet and Ecommerce ETF is 864 days, which is greater, thus worse compared to the benchmark SPY (488 days) in the same period.
  • During the last 3 years, the maximum days under water is 724 days, which is higher, thus worse than the value of 488 days from the benchmark.

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 days under water over 5 years of Emerging Markets Internet and Ecommerce ETF is 321 days, which is greater, thus worse compared to the benchmark SPY (123 days) in the same period.
  • Looking at average days below previous high in of 349 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (180 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.