Description

Atlassian Corporation Plc - Class A Ordinary Shares

Statistics (YTD)

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

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.'

Using this definition on our asset we see for example:
  • Looking at the total return of 108.4% in the last 5 years of Atlassian, we see it is relatively higher, thus better in comparison to the benchmark SPY (98.9%)
  • Looking at total return in of 2.3% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (39.9%).

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.'

Using this definition on our asset we see for example:
  • Looking at the annual return (CAGR) of 15.9% in the last 5 years of Atlassian, we see it is relatively greater, thus better in comparison to the benchmark SPY (14.8%)
  • Compared with SPY (11.9%) in the period of the last 3 years, the annual return (CAGR) of 0.8% is lower, 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (21%) in the period of the last 5 years, the 30 days standard deviation of 56% of Atlassian is larger, thus worse.
  • Looking at historical 30 days volatility in of 61.5% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (17.3%).

DownVol:

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

Applying this definition to our asset in some examples:
  • Looking at the downside deviation of 38.5% in the last 5 years of Atlassian, we see it is relatively larger, thus worse in comparison to the benchmark SPY (15%)
  • During the last 3 years, the downside deviation is 43.4%, which is higher, thus worse than the value of 12.1% from the benchmark.

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Applying this definition to our asset in some examples:
  • The ratio of return and volatility (Sharpe) over 5 years of Atlassian is 0.24, which is lower, thus worse compared to the benchmark SPY (0.58) in the same period.
  • Compared with SPY (0.54) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of -0.03 is lower, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.82) in the period of the last 5 years, the downside risk / excess return profile of 0.35 of Atlassian is lower, thus worse.
  • Looking at excess return divided by the downside deviation in of -0.04 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.78).

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.'

Which means for our asset as example:
  • The Ulcer Index over 5 years of Atlassian is 45 , which is greater, thus worse compared to the benchmark SPY (9.33 ) in the same period.
  • Looking at Ulcer Ratio in of 45 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (8.64 ).

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:
  • Looking at the maximum DrawDown of -74.6 days in the last 5 years of Atlassian, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-33.7 days)
  • Compared with SPY (-22.1 days) in the period of the last 3 years, the maximum reduction from previous high of -66.4 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.'

Using this definition on our asset we see for 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 817 days of Atlassian is higher, thus worse.
  • Compared with SPY (325 days) in the period of the last 3 years, the maximum days below previous high of 746 days is greater, 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.'

Applying this definition to our asset in some examples:
  • The average time in days below previous high water mark over 5 years of Atlassian is 288 days, which is greater, thus worse compared to the benchmark SPY (122 days) in the same period.
  • Compared with SPY (89 days) in the period of the last 3 years, the average time in days below previous high water mark of 373 days is higher, 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 Atlassian are hypothetical and do not account for slippage, fees or taxes.