Emerging Markets Internet and Ecommerce ETF (EMQQ)

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.'

• The total return over 5 years of Emerging Markets Internet and Ecommerce ETF is -47.5%, which is lower, thus worse compared to the benchmark SPY (81.1%) in the same period.
• Compared with SPY (79.6%) in the period of the last 3 years, the total return of 20.5% is lower, thus worse.

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.'

• Looking at the annual return (CAGR) of -12.1% 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 (12.7%)
• Compared with SPY (21.6%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 6.4% 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.'

• Looking at the volatility of 33.3% 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 (17%)
• Looking at historical 30 days volatility in of 23.5% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (15.1%).

DownVol:

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

• Looking at the downside risk of 22.5% 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 (11.7%)
• Compared with SPY (10.1%) in the period of the last 3 years, the downside volatility of 16.1% is higher, thus worse.

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.'

• The Sharpe Ratio over 5 years of Emerging Markets Internet and Ecommerce ETF is -0.44, which is lower, thus worse compared to the benchmark SPY (0.6) in the same period.
• Looking at ratio of return and volatility (Sharpe) in of 0.17 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.27).

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.'

• The excess return divided by the downside deviation over 5 years of Emerging Markets Internet and Ecommerce ETF is -0.65, which is lower, thus worse compared to the benchmark SPY (0.87) in the same period.
• Compared with SPY (1.9) in the period of the last 3 years, the excess return divided by the downside deviation of 0.25 is lower, thus worse.

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.'

• The Downside risk index over 5 years of Emerging Markets Internet and Ecommerce ETF is 46 , which is larger, thus worse compared to the benchmark SPY (8.42 ) in the same period.
• Looking at Downside risk index in of 8.89 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (3.39 ).

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.'

• Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum drop from peak to valley of -68.3 days of Emerging Markets Internet and Ecommerce ETF is smaller, thus worse.
• Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum reduction from previous high of -26 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). 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'

• The maximum days below previous high over 5 years of Emerging Markets Internet and Ecommerce ETF is 1253 days, which is higher, thus worse compared to the benchmark SPY (488 days) in the same period.
• Looking at maximum days below previous high in of 190 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (87 days).

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.'

• Compared with the benchmark SPY (119 days) in the period of the last 5 years, the average time in days below previous high water mark of 627 days of Emerging Markets Internet and Ecommerce ETF is greater, thus worse.
• Compared with SPY (19 days) in the period of the last 3 years, the average time in days below previous high water mark of 62 days is larger, thus worse.