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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (115.1%) in the period of the last 5 years, the total return, or increase in value of 12.3% of Atlassian is lower, thus worse.
  • Compared with SPY (71.1%) in the period of the last 3 years, the total return, or performance of 8.1% 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.'

Which means for our asset as example:
  • The annual return (CAGR) over 5 years of Atlassian is 2.4%, which is lower, thus worse compared to the benchmark SPY (16.6%) in the same period.
  • During the last 3 years, the compounded annual growth rate (CAGR) is 2.6%, which is lower, thus worse than the value of 19.7% 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:
  • The 30 days standard deviation over 5 years of Atlassian is 56.7%, which is larger, thus worse compared to the benchmark SPY (17.5%) in the same period.
  • Compared with SPY (17.5%) in the period of the last 3 years, the volatility of 57.5% is higher, thus worse.

DownVol:

'Risk measures typically quantify the downside risk, whereas the standard deviation (an example of a deviation risk measure) measures both the upside and downside risk. Specifically, downside risk in our definition is the semi-deviation, that is the standard deviation of all negative returns.'

Applying this definition to our asset in some examples:
  • The downside risk over 5 years of Atlassian is 39.5%, which is higher, thus worse compared to the benchmark SPY (12.1%) in the same period.
  • Compared with SPY (11.5%) in the period of the last 3 years, the downside risk of 40.8% is higher, thus worse.

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.'

Using this definition on our asset we see for example:
  • The risk / return profile (Sharpe) over 5 years of Atlassian is 0, which is smaller, thus worse compared to the benchmark SPY (0.8) in the same period.
  • Compared with SPY (0.98) in the period of the last 3 years, the risk / return profile (Sharpe) of 0 is lower, thus worse.

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.'

Using this definition on our asset we see for example:
  • Looking at the ratio of annual return and downside deviation of 0 in the last 5 years of Atlassian, we see it is relatively lower, thus worse in comparison to the benchmark SPY (1.17)
  • Compared with SPY (1.49) in the period of the last 3 years, the ratio of annual return and downside deviation of 0 is smaller, thus worse.

Ulcer:

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Which means for our asset as example:
  • Looking at the Ulcer Ratio of 47 in the last 5 years of Atlassian, we see it is relatively larger, thus worse in comparison to the benchmark SPY (8.48 )
  • Looking at Ulcer Index in of 35 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (5.31 ).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum reduction from previous high of -74.6 days of Atlassian is smaller, thus worse.
  • During the last 3 years, the maximum DrawDown is -59.8 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.'

Applying this definition to our asset in some examples:
  • Looking at the maximum days below previous high of 921 days in the last 5 years of Atlassian, we see it is relatively higher, thus worse in comparison to the benchmark SPY (488 days)
  • Looking at maximum days under water in of 616 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (199 days).

AveDuration:

'The Average 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. 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:
  • Compared with the benchmark SPY (120 days) in the period of the last 5 years, the average days below previous high of 359 days of Atlassian is larger, thus worse.
  • Looking at average days below previous high in of 265 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (47 days).

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.