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, or increase in value over 5 years of Global X FinTech ETF is -45.2%, which is lower, thus worse compared to the benchmark SPY (88.2%) in the same period.
  • Compared with SPY (77%) in the period of the last 3 years, the total return, or performance of 16.2% is smaller, thus worse.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (13.6%) in the period of the last 5 years, the annual return (CAGR) of -11.4% of Global X FinTech ETF is lower, thus worse.
  • Looking at annual return (CAGR) in of 5.2% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (21.1%).

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:
  • The volatility over 5 years of Global X FinTech ETF is 31.5%, which is larger, thus worse compared to the benchmark SPY (17.1%) in the same period.
  • Compared with SPY (15.3%) in the period of the last 3 years, the historical 30 days volatility of 27.6% is larger, thus worse.

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:
  • The downside volatility over 5 years of Global X FinTech ETF is 22.7%, which is larger, thus worse compared to the benchmark SPY (11.8%) in the same period.
  • Compared with SPY (10.2%) in the period of the last 3 years, the downside volatility of 19.7% is larger, 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.'

Using this definition on our asset we see for example:
  • Looking at the risk / return profile (Sharpe) of -0.44 in the last 5 years of Global X FinTech ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.65)
  • During the last 3 years, the risk / return profile (Sharpe) is 0.1, which is smaller, 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.'

Which means for our asset as example:
  • Looking at the excess return divided by the downside deviation of -0.61 in the last 5 years of Global X FinTech ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.94)
  • Compared with SPY (1.82) in the period of the last 3 years, the downside risk / excess return profile of 0.14 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.'

Applying this definition to our asset in some examples:
  • Looking at the Ulcer Index of 45 in the last 5 years of Global X FinTech ETF, we see it is relatively greater, thus worse in comparison to the benchmark SPY (8.45 )
  • Looking at Ulcer Index in of 14 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (3.51 ).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -63.5 days of Global X FinTech ETF is lower, thus worse.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum reduction from previous high of -36.6 days is lower, 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 1167 days of Global X FinTech ETF is greater, thus worse.
  • Compared with SPY (87 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 227 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.'

Using this definition on our asset we see for example:
  • The average days under water over 5 years of Global X FinTech ETF is 550 days, which is higher, thus worse compared to the benchmark SPY (120 days) in the same period.
  • Looking at average days under water in of 69 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (20 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 Global X FinTech ETF are hypothetical and do not account for slippage, fees or taxes.