Description

Amplify Transformational Data Sharing 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (102.7%) in the period of the last 5 years, the total return, or performance of 149% of Amplify Transformational Data Sharing ETF is larger, thus better.
  • During the last 3 years, the total return, or performance is -20.5%, which is lower, thus worse than the value of 38.1% 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 (15.2%) in the period of the last 5 years, the annual performance (CAGR) of 20% of Amplify Transformational Data Sharing ETF is higher, thus better.
  • Looking at compounded annual growth rate (CAGR) in of -7.4% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (11.4%).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (20.9%) in the period of the last 5 years, the volatility of 40.9% of Amplify Transformational Data Sharing ETF is higher, thus worse.
  • Looking at 30 days standard deviation in of 43.4% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (17.3%).

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 (15%) in the period of the last 5 years, the downside deviation of 28.3% of Amplify Transformational Data Sharing ETF is larger, thus worse.
  • During the last 3 years, the downside risk is 30.5%, which is larger, thus worse than the value of 12% 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.'

Using this definition on our asset we see for example:
  • Looking at the Sharpe Ratio of 0.43 in the last 5 years of Amplify Transformational Data Sharing ETF, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.61)
  • Compared with SPY (0.51) in the period of the last 3 years, the Sharpe Ratio of -0.23 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.85) in the period of the last 5 years, the downside risk / excess return profile of 0.62 of Amplify Transformational Data Sharing ETF is lower, thus worse.
  • Compared with SPY (0.74) in the period of the last 3 years, the ratio of annual return and downside deviation of -0.32 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:
  • The Ulcer Ratio over 5 years of Amplify Transformational Data Sharing ETF is 40 , which is higher, thus worse compared to the benchmark SPY (9.32 ) in the same period.
  • Looking at Downside risk index in of 51 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (10 ).

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

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 reduction from previous high of -73.3 days of Amplify Transformational Data Sharing ETF is lower, thus worse.
  • During the last 3 years, the maximum DrawDown is -73.3 days, which is lower, thus worse than the value of -24.5 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:
  • The maximum days below previous high over 5 years of Amplify Transformational Data Sharing ETF is 598 days, which is higher, thus worse compared to the benchmark SPY (488 days) in the same period.
  • Looking at maximum days under water in of 598 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (488 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (124 days) in the period of the last 5 years, the average days below previous high of 177 days of Amplify Transformational Data Sharing ETF is higher, thus worse.
  • Compared with SPY (181 days) in the period of the last 3 years, the average time in days below previous high water mark of 253 days is larger, thus worse.

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 Amplify Transformational Data Sharing 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.