Description

Global X FinTech ETF

Statistics (YTD)

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

TotalReturn:

'Total return is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

Which means for our asset as example:
  • The total return over 5 years of Global X FinTech ETF is 11.6%, which is lower, thus worse compared to the benchmark SPY (120.1%) in the same period.
  • Compared with SPY (65.1%) in the period of the last 3 years, the total return, or performance of 48.9% 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:
  • Looking at the annual performance (CAGR) of 2.2% in the last 5 years of Global X FinTech ETF, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (17.1%)
  • Looking at annual return (CAGR) in of 14.3% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (18.3%).

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.'

Applying this definition to our asset in some examples:
  • The historical 30 days volatility over 5 years of Global X FinTech ETF is 30.7%, which is greater, thus worse compared to the benchmark SPY (17.6%) in the same period.
  • Compared with SPY (17.5%) in the period of the last 3 years, the 30 days standard deviation of 29.1% is greater, thus worse.

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 Global X FinTech ETF is 21.6%, which is higher, thus worse compared to the benchmark SPY (12.1%) in the same period.
  • During the last 3 years, the downside risk is 19.6%, which is greater, thus worse than the value of 11.6% 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.'

Using this definition on our asset we see for example:
  • The risk / return profile (Sharpe) over 5 years of Global X FinTech ETF is -0.01, which is smaller, thus worse compared to the benchmark SPY (0.83) in the same period.
  • Compared with SPY (0.9) in the period of the last 3 years, the Sharpe Ratio of 0.4 is lower, thus worse.

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.'

Applying this definition to our asset in some examples:
  • The excess return divided by the downside deviation over 5 years of Global X FinTech ETF is -0.01, which is lower, thus worse compared to the benchmark SPY (1.21) in the same period.
  • Looking at downside risk / excess return profile in of 0.6 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.36).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (8.48 ) in the period of the last 5 years, the Downside risk index of 42 of Global X FinTech ETF is larger, thus worse.
  • Looking at Ulcer Ratio in of 16 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (5.31 ).

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.'

Applying this definition to our asset in some examples:
  • The maximum drop from peak to valley over 5 years of Global X FinTech ETF is -63.5 days, which is smaller, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • During the last 3 years, the maximum drop from peak to valley is -32.4 days, which is lower, thus worse than the value of -18.8 days from the benchmark.

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) in days.'

Using this definition on our asset we see for example:
  • Looking at the maximum days below previous high of 921 days in the last 5 years of Global X FinTech ETF, we see it is relatively greater, thus worse in comparison to the benchmark SPY (488 days)
  • During the last 3 years, the maximum time in days below previous high water mark is 393 days, which is greater, thus worse than the value of 199 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (120 days) in the period of the last 5 years, the average time in days below previous high water mark of 365 days of Global X FinTech ETF is larger, thus worse.
  • During the last 3 years, the average days under water is 131 days, which is greater, thus worse than the value of 47 days from the benchmark.

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 Global X FinTech ETF are hypothetical and do not account for slippage, fees or taxes.