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.'

• Looking at the total return, or increase in value of -8.9% 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 (85%)
• Looking at total return, or performance in of -51.8% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (24.7%).

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.'

• The compounded annual growth rate (CAGR) over 5 years of Emerging Markets Internet and Ecommerce ETF is -1.9%, which is lower, thus worse compared to the benchmark SPY (13.1%) in the same period.
• During the last 3 years, the annual return (CAGR) is -21.6%, which is lower, thus worse than the value of 7.6% from the benchmark.

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.'

• The historical 30 days volatility over 5 years of Emerging Markets Internet and Ecommerce ETF is 36.5%, which is higher, thus worse compared to the benchmark SPY (20.9%) in the same period.
• Looking at volatility in of 38.4% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (17.3%).

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.'

• Looking at the downside deviation of 24.8% 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 (15%)
• Compared with SPY (12.1%) in the period of the last 3 years, the downside risk of 25.7% is greater, 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.'

• Compared with the benchmark SPY (0.51) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of -0.12 of Emerging Markets Internet and Ecommerce ETF is smaller, thus worse.
• Compared with SPY (0.3) in the period of the last 3 years, the risk / return profile (Sharpe) of -0.63 is lower, 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.'

• Looking at the downside risk / excess return profile of -0.18 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 (0.71)
• During the last 3 years, the ratio of annual return and downside deviation is -0.94, which is lower, thus worse than the value of 0.42 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.'

• The Ulcer Ratio over 5 years of Emerging Markets Internet and Ecommerce ETF is 44 , which is higher, thus worse compared to the benchmark SPY (9.33 ) in the same period.
• Looking at Ulcer Index in of 48 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (10 ).

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.'

• The maximum DrawDown over 5 years of Emerging Markets Internet and Ecommerce ETF is -73.2 days, which is smaller, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
• During the last 3 years, the maximum drop from peak to valley is -67.4 days, which is lower, thus worse than the value of -24.5 days from the benchmark.

MaxDuration:

'The Maximum 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. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

• Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 798 days of Emerging Markets Internet and Ecommerce ETF is greater, thus worse.
• Compared with SPY (488 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 749 days is larger, 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.'

• The average days under water over 5 years of Emerging Markets Internet and Ecommerce ETF is 281 days, which is larger, thus worse compared to the benchmark SPY (123 days) in the same period.
• Looking at average days under water in of 374 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (179 days).