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.'

Which means for our asset as example:
  • The total return over 5 years of Amplify Transformational Data Sharing ETF is 261.2%, which is greater, thus better compared to the benchmark SPY (154.3%) in the same period.
  • Compared with SPY (32.9%) in the period of the last 3 years, the total return, or performance of 24.8% is lower, thus worse.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Using this definition on our asset we see for example:
  • Looking at the annual return (CAGR) of 29.4% in the last 5 years of Amplify Transformational Data Sharing ETF, we see it is relatively higher, thus better in comparison to the benchmark SPY (20.6%)
  • Compared with SPY (10%) in the period of the last 3 years, the annual performance (CAGR) of 7.7% is lower, thus worse.

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (18.4%) in the period of the last 5 years, the volatility of 43.3% of Amplify Transformational Data Sharing ETF is higher, thus worse.
  • During the last 3 years, the historical 30 days volatility is 41.8%, which is higher, thus worse than the value of 17% from the benchmark.

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:
  • Compared with the benchmark SPY (12.4%) in the period of the last 5 years, the downside deviation of 29.4% of Amplify Transformational Data Sharing ETF is larger, thus worse.
  • Looking at downside volatility in of 29% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (12%).

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:
  • Compared with the benchmark SPY (0.99) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.62 of Amplify Transformational Data Sharing ETF is lower, thus worse.
  • Looking at Sharpe Ratio in of 0.12 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.44).

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 (1.46) in the period of the last 5 years, the excess return divided by the downside deviation of 0.91 of Amplify Transformational Data Sharing ETF is smaller, thus worse.
  • Looking at ratio of annual return and downside deviation in of 0.18 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.62).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (8.29 ) in the period of the last 5 years, the Ulcer Ratio of 42 of Amplify Transformational Data Sharing ETF is larger, thus worse.
  • Compared with SPY (8.63 ) in the period of the last 3 years, the Downside risk index of 34 is higher, thus worse.

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 reduction from previous high over 5 years of Amplify Transformational Data Sharing ETF is -73.3 days, which is smaller, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • Compared with SPY (-22.1 days) in the period of the last 3 years, the maximum reduction from previous high of -59.9 days is lower, thus worse.

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.'

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 842 days of Amplify Transformational Data Sharing ETF is greater, thus worse.
  • Looking at maximum time in days below previous high water mark in of 498 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (325 days).

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 time in days below previous high water mark over 5 years of Amplify Transformational Data Sharing ETF is 317 days, which is larger, thus worse compared to the benchmark SPY (119 days) in the same period.
  • During the last 3 years, the average days under water is 180 days, which is higher, thus worse than the value of 89 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 Amplify Transformational Data Sharing ETF are hypothetical and do not account for slippage, fees or taxes.