Description

ProShares Online Retail ETF

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

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.'

Applying this definition to our asset in some examples:
  • Looking at the total return of % in the last 5 years of ProShares Online Retail ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (67.8%)
  • During the last 3 years, the total return, or performance is -36.1%, which is smaller, thus worse than the value of 44.5% from the benchmark.

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:
  • Compared with the benchmark SPY (10.9%) in the period of the last 5 years, the annual return (CAGR) of % of ProShares Online Retail ETF is lower, thus worse.
  • Compared with SPY (13.1%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of -13.9% is lower, 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.'

Which means for our asset as example:
  • The volatility over 5 years of ProShares Online Retail ETF is %, which is lower, thus better compared to the benchmark SPY (21.4%) in the same period.
  • Looking at volatility in of 38.3% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (18.8%).

DownVol:

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

Using this definition on our asset we see for example:
  • The downside volatility over 5 years of ProShares Online Retail ETF is %, which is lower, thus better compared to the benchmark SPY (15.4%) in the same period.
  • During the last 3 years, the downside volatility is 27.2%, which is greater, thus worse than the value of 13.3% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • The risk / return profile (Sharpe) over 5 years of ProShares Online Retail ETF is , which is lower, thus worse compared to the benchmark SPY (0.39) in the same period.
  • Looking at risk / return profile (Sharpe) in of -0.43 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.56).

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:
  • Compared with the benchmark SPY (0.55) in the period of the last 5 years, the ratio of annual return and downside deviation of of ProShares Online Retail ETF is lower, thus worse.
  • Compared with SPY (0.79) in the period of the last 3 years, the excess return divided by the downside deviation of -0.6 is smaller, thus worse.

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Using this definition on our asset we see for example:
  • Looking at the Ulcer Ratio of in the last 5 years of ProShares Online Retail ETF, we see it is relatively lower, thus better in comparison to the benchmark SPY (9.46 )
  • During the last 3 years, the Ulcer Ratio is 44 , which is greater, thus worse than the value of 10 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.'

Using this definition on our asset we see for example:
  • Looking at the maximum drop from peak to valley of days in the last 5 years of ProShares Online Retail ETF, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (-33.7 days)
  • Compared with SPY (-24.5 days) in the period of the last 3 years, the maximum DrawDown of -71.8 days is smaller, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (352 days) in the period of the last 5 years, the maximum days under water of days of ProShares Online Retail ETF is lower, thus better.
  • During the last 3 years, the maximum days under water is 576 days, which is higher, thus worse than the value of 352 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:
  • Looking at the average days below previous high of days in the last 5 years of ProShares Online Retail ETF, we see it is relatively lower, thus better in comparison to the benchmark SPY (78 days)
  • Looking at average days under water in of 239 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (102 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 ProShares Online Retail ETF are hypothetical, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.