Description

Datadog, Inc. - Class A Common Stock

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.'

Which means for our asset as example:
  • The total return over 5 years of Datadog is 278.2%, which is higher, thus better compared to the benchmark SPY (96.4%) in the same period.
  • During the last 3 years, the total return, or increase in value is -19.8%, which is lower, thus worse than the value of 28.9% from the benchmark.

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 compounded annual growth rate (CAGR) over 5 years of Datadog is 30.5%, which is greater, thus better compared to the benchmark SPY (14.5%) in the same period.
  • Compared with SPY (8.9%) in the period of the last 3 years, the annual performance (CAGR) of -7.1% is smaller, thus worse.

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 59.2% of Datadog is greater, thus worse.
  • Compared with SPY (17.5%) in the period of the last 3 years, the 30 days standard deviation of 59.3% 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%) in the period of the last 5 years, the downside volatility of 38.9% of Datadog is higher, thus worse.
  • During the last 3 years, the downside deviation is 39.9%, which is larger, thus worse than the value of 12.3% 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.'

Using this definition on our asset we see for example:
  • The Sharpe Ratio over 5 years of Datadog is 0.47, which is lower, thus worse compared to the benchmark SPY (0.57) in the same period.
  • Looking at risk / return profile (Sharpe) in of -0.16 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.36).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.8) in the period of the last 5 years, the excess return divided by the downside deviation of 0.72 of Datadog is smaller, thus worse.
  • Looking at ratio of annual return and downside deviation in of -0.24 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.52).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (9.33 ) in the period of the last 5 years, the Ulcer Index of 38 of Datadog is higher, thus worse.
  • During the last 3 years, the Downside risk index is 42 , which is larger, thus worse than the value of 10 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum drop from peak to valley of -68.1 days of Datadog is lower, thus worse.
  • Looking at maximum reduction from previous high in of -64.8 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-24.5 days).

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:
  • The maximum days below previous high over 5 years of Datadog is 789 days, which is greater, thus worse compared to the benchmark SPY (488 days) in the same period.
  • During the last 3 years, the maximum days below previous high is 753 days, which is higher, thus worse than the value of 488 days from the benchmark.

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:
  • Looking at the average days under water of 272 days in the last 5 years of Datadog, we see it is relatively higher, thus worse in comparison to the benchmark SPY (122 days)
  • Looking at average days below previous high in of 377 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (177 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 Datadog are hypothetical and do not account for slippage, fees or taxes.