Amplify Lithium & Battery Technology ETF (BATT)

TotalReturn:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

• Compared with the benchmark SPY (77.2%) in the period of the last 5 years, the total return, or performance of 15.6% of Amplify Lithium & Battery Technology ETF is smaller, thus worse.
• Compared with SPY (71.7%) in the period of the last 3 years, the total return of 36.7% 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.'

• Looking at the compounded annual growth rate (CAGR) of 3% in the last 5 years of Amplify Lithium & Battery Technology ETF, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (12.2%)
• Compared with SPY (19.9%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 11% is smaller, thus worse.

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.'

• The historical 30 days volatility over 5 years of Amplify Lithium & Battery Technology ETF is 29.3%, which is greater, thus worse compared to the benchmark SPY (17.1%) in the same period.
• Compared with SPY (15.2%) in the period of the last 3 years, the volatility of 27.9% is greater, thus worse.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

• Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside deviation of 20.4% of Amplify Lithium & Battery Technology ETF is larger, thus worse.
• During the last 3 years, the downside volatility is 19.3%, which is higher, thus worse than the value of 10.1% 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.'

• The ratio of return and volatility (Sharpe) over 5 years of Amplify Lithium & Battery Technology ETF is 0.02, which is smaller, thus worse compared to the benchmark SPY (0.57) in the same period.
• During the last 3 years, the Sharpe Ratio is 0.31, which is smaller, thus worse than the value of 1.14 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.'

• Looking at the ratio of annual return and downside deviation of 0.02 in the last 5 years of Amplify Lithium & Battery Technology ETF, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.82)
• Looking at ratio of annual return and downside deviation in of 0.44 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.71).

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

• The Downside risk index over 5 years of Amplify Lithium & Battery Technology ETF is 37 , which is larger, thus worse compared to the benchmark SPY (8.45 ) in the same period.
• Looking at Ulcer Ratio in of 26 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (3.5 ).

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.'

• Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -62 days of Amplify Lithium & Battery Technology ETF is lower, thus worse.
• During the last 3 years, the maximum reduction from previous high is -47.6 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.'

• The maximum days below previous high over 5 years of Amplify Lithium & Battery Technology ETF is 1106 days, which is greater, thus worse compared to the benchmark SPY (488 days) in the same period.
• Looking at maximum time in days below previous high water mark in of 545 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (87 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.'

• Looking at the average days under water of 501 days in the last 5 years of Amplify Lithium & Battery Technology ETF, we see it is relatively larger, thus worse in comparison to the benchmark SPY (119 days)
• Compared with SPY (20 days) in the period of the last 3 years, the average time in days below previous high water mark of 211 days is larger, thus worse.