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:
  • Looking at the total return, or increase in value of 90% in the last 5 years of Atlassian, we see it is relatively lower, thus worse in comparison to the benchmark SPY (94.2%)
  • Compared with SPY (34.4%) in the period of the last 3 years, the total return of -15.1% 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (14.2%) in the period of the last 5 years, the annual performance (CAGR) of 13.7% of Atlassian is lower, thus worse.
  • During the last 3 years, the compounded annual growth rate (CAGR) is -5.3%, which is smaller, thus worse than the value of 10.4% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (21%) in the period of the last 5 years, the historical 30 days volatility of 55.8% of Atlassian is higher, thus worse.
  • Looking at volatility in of 61.2% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (17.5%).

DownVol:

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

Which means for our asset as example:
  • Looking at the downside risk of 38.5% in the last 5 years of Atlassian, we see it is relatively greater, thus worse in comparison to the benchmark SPY (15%)
  • Looking at downside deviation in of 43.5% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (12.3%).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.56) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.2 of Atlassian is lower, thus worse.
  • Looking at risk / return profile (Sharpe) in of -0.13 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.45).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.78) in the period of the last 5 years, the downside risk / excess return profile of 0.29 of Atlassian is lower, thus worse.
  • Looking at downside risk / excess return profile in of -0.18 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.64).

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.'

Using this definition on our asset we see for example:
  • The Downside risk index over 5 years of Atlassian is 45 , which is higher, thus worse compared to the benchmark SPY (9.33 ) in the same period.
  • Compared with SPY (8.87 ) in the period of the last 3 years, the Ulcer Index of 44 is greater, thus worse.

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.'

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)
  • During the last 3 years, the maximum reduction from previous high is -66.4 days, which is smaller, thus worse than the value of -22.4 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.'

Using this definition on our asset we see for example:
  • Looking at the maximum days below previous high of 807 days in the last 5 years of Atlassian, we see it is relatively greater, thus worse in comparison to the benchmark SPY (488 days)
  • Looking at maximum days below previous high in of 736 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (375 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 Atlassian is 282 days, which is higher, thus worse compared to the benchmark SPY (122 days) in the same period.
  • Compared with SPY (113 days) in the period of the last 3 years, the average time in days below previous high water mark of 363 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 Atlassian are hypothetical and do not account for slippage, fees or taxes.