Description

Atlassian Corporation Plc - Class A Ordinary Shares

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:
  • Compared with the benchmark SPY (58.9%) in the period of the last 5 years, the total return, or performance of 219.8% of Atlassian is larger, thus better.
  • Compared with SPY (33.9%) in the period of the last 3 years, the total return, or performance of 15.9% is lower, 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.'

Using this definition on our asset we see for example:
  • Looking at the compounded annual growth rate (CAGR) of 26.2% in the last 5 years of Atlassian, we see it is relatively greater, thus better in comparison to the benchmark SPY (9.7%)
  • Looking at annual return (CAGR) in of 5% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (10.2%).

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:
  • Looking at the 30 days standard deviation of 53.5% in the last 5 years of Atlassian, we see it is relatively higher, thus worse in comparison to the benchmark SPY (21.6%)
  • Compared with SPY (25%) in the period of the last 3 years, the historical 30 days volatility of 59.6% is larger, thus worse.

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 (15.7%) in the period of the last 5 years, the downside deviation of 37.1% of Atlassian is higher, thus worse.
  • Compared with SPY (18.1%) in the period of the last 3 years, the downside volatility of 41.4% is larger, thus worse.

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 ratio of return and volatility (Sharpe) of 0.44 in the last 5 years of Atlassian, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.33)
  • During the last 3 years, the risk / return profile (Sharpe) is 0.04, which is lower, thus worse than the value of 0.31 from the benchmark.

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:
  • Looking at the excess return divided by the downside deviation of 0.64 in the last 5 years of Atlassian, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.46)
  • Looking at ratio of annual return and downside deviation in of 0.06 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.43).

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.'

Applying this definition to our asset in some examples:
  • The Ulcer Index over 5 years of Atlassian is 26 , which is greater, thus worse compared to the benchmark SPY (8.91 ) in the same period.
  • Looking at Downside risk index in of 33 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (11 ).

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.'

Which means for our asset as example:
  • The maximum DrawDown over 5 years of Atlassian is -74.6 days, which is smaller, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
  • Compared with SPY (-33.7 days) in the period of the last 3 years, the maximum reduction from previous high of -74.6 days is smaller, 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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Using this definition on our asset we see for example:
  • The maximum days below previous high over 5 years of Atlassian is 315 days, which is larger, thus worse compared to the benchmark SPY (271 days) in the same period.
  • Looking at maximum days under water in of 315 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (271 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (60 days) in the period of the last 5 years, the average time in days below previous high water mark of 61 days of Atlassian is higher, thus worse.
  • Compared with SPY (72 days) in the period of the last 3 years, the average days below previous high of 83 days is greater, 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, 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.