ProShares Online Retail ETF (ONLN)

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.'

• Compared with the benchmark SPY (81%) in the period of the last 5 years, the total return, or increase in value of -32.8% of ProShares Online Retail ETF is smaller, thus worse.
• Looking at total return, or increase in value in of 83.6% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (75.8%).

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

• Compared with the benchmark SPY (12.7%) in the period of the last 5 years, the annual return (CAGR) of -7.7% of ProShares Online Retail ETF is smaller, thus worse.
• Looking at compounded annual growth rate (CAGR) in of 22.6% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (20.8%).

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%) in the period of the last 5 years, the volatility of 33% of ProShares Online Retail ETF is higher, thus worse.
• During the last 3 years, the historical 30 days volatility is 25.9%, which is greater, thus worse than the value of 15% from the benchmark.

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 (11.7%) in the period of the last 5 years, the downside volatility of 23.4% of ProShares Online Retail ETF is larger, thus worse.
• Compared with SPY (10.1%) in the period of the last 3 years, the downside volatility of 17.7% is larger, 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.'

• Compared with the benchmark SPY (0.6) in the period of the last 5 years, the risk / return profile (Sharpe) of -0.31 of ProShares Online Retail ETF is lower, thus worse.
• During the last 3 years, the Sharpe Ratio is 0.78, which is lower, thus worse than the value of 1.22 from the benchmark.

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 ProShares Online Retail ETF is -0.44, which is lower, thus worse compared to the benchmark SPY (0.87) in the same period.
• Compared with SPY (1.82) in the period of the last 3 years, the downside risk / excess return profile of 1.13 is lower, thus worse.

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 ProShares Online Retail ETF is 48 , which is larger, thus worse compared to the benchmark SPY (8.42 ) in the same period.
• Looking at Downside risk index in of 7.94 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (3.4 ).

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

• Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -69.2 days of ProShares Online Retail ETF is smaller, thus worse.
• Looking at maximum reduction from previous high in of -28 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-18.8 days).

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'

• Looking at the maximum days under water of 1179 days in the last 5 years of ProShares Online Retail ETF, we see it is relatively greater, 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 98 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.'

• Compared with the benchmark SPY (119 days) in the period of the last 5 years, the average days under water of 558 days of ProShares Online Retail ETF is higher, thus worse.
• During the last 3 years, the average days below previous high is 25 days, which is greater, thus worse than the value of 19 days from the benchmark.