Description

ETFMG Travel Tech 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (81.5%) in the period of the last 5 years, the total return of % of ETFMG Travel Tech ETF is lower, thus worse.
  • Compared with SPY (48.1%) in the period of the last 3 years, the total return, or performance of % is lower, 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.'

Applying this definition to our asset in some examples:
  • The annual return (CAGR) over 5 years of ETFMG Travel Tech ETF is %, which is lower, thus worse compared to the benchmark SPY (12.7%) in the same period.
  • Looking at annual performance (CAGR) in of % in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (14%).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (20.5%) in the period of the last 5 years, the 30 days standard deviation of % of ETFMG Travel Tech ETF is lower, thus better.
  • Looking at historical 30 days volatility in of % in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (23.8%).

DownVol:

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

Which means for our asset as example:
  • Looking at the downside volatility of % in the last 5 years of ETFMG Travel Tech ETF, we see it is relatively lower, thus better in comparison to the benchmark SPY (15%)
  • During the last 3 years, the downside risk is %, which is smaller, thus better than the value of 17.3% from the benchmark.

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.5) in the period of the last 5 years, the risk / return profile (Sharpe) of of ETFMG Travel Tech ETF is lower, thus worse.
  • During the last 3 years, the ratio of return and volatility (Sharpe) is , which is lower, thus worse than the value of 0.48 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.'

Using this definition on our asset we see for example:
  • Looking at the excess return divided by the downside deviation of in the last 5 years of ETFMG Travel Tech ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.68)
  • Looking at excess return divided by the downside deviation in of in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.66).

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.'

Using this definition on our asset we see for example:
  • Looking at the Ulcer Index of in the last 5 years of ETFMG Travel Tech ETF, we see it is relatively lower, thus better in comparison to the benchmark SPY (7.13 )
  • Compared with SPY (8.25 ) in the period of the last 3 years, the Downside risk index of is lower, thus better.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum DrawDown of days of ETFMG Travel Tech ETF is greater, thus better.
  • Looking at maximum DrawDown in of days in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (-33.7 days).

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.'

Which means for our asset as example:
  • Looking at the maximum days under water of days in the last 5 years of ETFMG Travel Tech ETF, we see it is relatively lower, thus better in comparison to the benchmark SPY (150 days)
  • Looking at maximum days under water in of days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (150 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (41 days) in the period of the last 5 years, the average days below previous high of days of ETFMG Travel Tech ETF is lower, thus better.
  • Compared with SPY (36 days) in the period of the last 3 years, the average days below previous high of days is lower, thus better.

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 ETFMG Travel Tech 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.