Description

Global X FinTech ETF

Statistics (YTD)

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

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.'

Using this definition on our asset we see for example:
  • The total return over 5 years of Global X FinTech ETF is -42.2%, which is smaller, thus worse compared to the benchmark SPY (87%) in the same period.
  • During the last 3 years, the total return, or performance is 13.9%, which is lower, thus worse than the value of 78.1% from the benchmark.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (13.4%) in the period of the last 5 years, the annual performance (CAGR) of -10.4% of Global X FinTech ETF is lower, thus worse.
  • Looking at compounded annual growth rate (CAGR) in of 4.5% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (21.3%).

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:
  • Looking at the historical 30 days volatility of 31.7% in the last 5 years of Global X FinTech ETF, we see it is relatively larger, thus worse in comparison to the benchmark SPY (17.2%)
  • Looking at historical 30 days volatility in of 27.6% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (15.4%).

DownVol:

'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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside volatility of 22.7% of Global X FinTech ETF is higher, thus worse.
  • Compared with SPY (10.3%) in the period of the last 3 years, the downside risk of 19.7% is higher, 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.'

Which means for our asset as example:
  • Looking at the ratio of return and volatility (Sharpe) of -0.41 in the last 5 years of Global X FinTech ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.63)
  • Looking at risk / return profile (Sharpe) in of 0.07 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.22).

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 (0.92) in the period of the last 5 years, the ratio of annual return and downside deviation of -0.57 of Global X FinTech ETF is smaller, thus worse.
  • During the last 3 years, the ratio of annual return and downside deviation is 0.1, which is smaller, thus worse than the value of 1.82 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.'

Which means for our asset as example:
  • The Downside risk index over 5 years of Global X FinTech ETF is 46 , which is greater, thus worse compared to the benchmark SPY (8.45 ) in the same period.
  • During the last 3 years, the Ulcer Index is 15 , which is larger, thus worse than the value of 3.38 from the benchmark.

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:
  • 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 -36.6 days, which is lower, thus worse than the value of -18.8 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.'

Applying this definition to our asset in some examples:
  • Looking at the maximum days under water of 1200 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 days under water is 260 days, which is larger, thus worse than the value of 87 days from the benchmark.

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 (119 days) in the period of the last 5 years, the average days under water of 579 days of Global X FinTech ETF is higher, thus worse.
  • During the last 3 years, the average days below previous high is 78 days, which is larger, thus worse than the value of 18 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.