Emerging Markets Internet and Ecommerce ETF (EMQQ)

TotalReturn:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

• The total return, or performance over 5 years of Emerging Markets Internet and Ecommerce ETF is -31.4%, which is lower, thus worse compared to the benchmark SPY (82.3%) in the same period.
• Compared with SPY (69.4%) in the period of the last 3 years, the total return, or increase in value of 8% is smaller, thus worse.

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.'

• Looking at the annual return (CAGR) of -7.3% 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 (12.8%)
• Compared with SPY (19.3%) in the period of the last 3 years, the annual return (CAGR) of 2.6% is smaller, thus worse.

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.'

• Compared with the benchmark SPY (17.2%) in the period of the last 5 years, the volatility of 32.7% of Emerging Markets Internet and Ecommerce ETF is higher, thus worse.
• Looking at historical 30 days volatility in of 22.9% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (15.3%).

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.'

• Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside volatility of 21.8% of Emerging Markets Internet and Ecommerce ETF is larger, thus worse.
• Looking at downside risk in of 15.8% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (10.3%).

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.'

• Compared with the benchmark SPY (0.6) in the period of the last 5 years, the risk / return profile (Sharpe) of -0.3 of Emerging Markets Internet and Ecommerce ETF is lower, thus worse.
• During the last 3 years, the Sharpe Ratio is 0, which is lower, thus worse than the value of 1.09 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.'

• The downside risk / excess return profile over 5 years of Emerging Markets Internet and Ecommerce ETF is -0.45, which is lower, thus worse compared to the benchmark SPY (0.87) in the same period.
• During the last 3 years, the ratio of annual return and downside deviation is 0.01, which is lower, thus worse than the value of 1.62 from the benchmark.

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.'

• Looking at the Ulcer Index of 38 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 (8.45 )
• During the last 3 years, the Ulcer Index is 13 , which is greater, thus worse than the value of 3.53 from the benchmark.

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.'

• Looking at the maximum DrawDown of -61.7 days 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 (-24.5 days)
• During the last 3 years, the maximum drop from peak to valley is -33.7 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'

• Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 1229 days of Emerging Markets Internet and Ecommerce ETF is higher, thus worse.
• Compared with SPY (87 days) in the period of the last 3 years, the maximum days below previous high of 218 days is greater, 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.'

• Looking at the average time in days below previous high water mark of 604 days 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 (119 days)
• During the last 3 years, the average days below previous high is 80 days, which is larger, thus worse than the value of 21 days from the benchmark.