Description

DoorDash, Inc. - Common Stock

Statistics (YTD)

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

TotalReturn:

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Applying this definition to our asset in some examples:
  • Looking at the total return, or performance of % in the last 5 years of DoorDash, we see it is relatively lower, thus worse in comparison to the benchmark SPY (94.2%)
  • Looking at total return in of -46.6% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (27.9%).

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Using this definition on our asset we see for example:
  • The compounded annual growth rate (CAGR) over 5 years of DoorDash is %, which is lower, thus worse compared to the benchmark SPY (14.2%) in the same period.
  • Looking at annual return (CAGR) in of -18.9% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (8.6%).

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 DoorDash is %, which is smaller, thus better compared to the benchmark SPY (20.9%) in the same period.
  • Compared with SPY (17.3%) in the period of the last 3 years, the volatility of 60.7% 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 deviation over 5 years of DoorDash is %, which is smaller, thus better compared to the benchmark SPY (15%) in the same period.
  • Compared with SPY (12.1%) in the period of the last 3 years, the downside volatility of 42.6% is higher, 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:
  • The Sharpe Ratio over 5 years of DoorDash is , which is smaller, thus worse compared to the benchmark SPY (0.56) in the same period.
  • Looking at ratio of return and volatility (Sharpe) in of -0.35 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.35).

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.'

Applying this definition to our asset in some examples:
  • The excess return divided by the downside deviation over 5 years of DoorDash is , which is smaller, thus worse compared to the benchmark SPY (0.78) in the same period.
  • Looking at excess return divided by the downside deviation in of -0.5 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.5).

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.'

Which means for our asset as example:
  • Looking at the Downside risk index of in the last 5 years of DoorDash, we see it is relatively lower, thus better in comparison to the benchmark SPY (9.32 )
  • Looking at Ulcer Ratio in of 62 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (10 ).

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 (-33.7 days) in the period of the last 5 years, the maximum reduction from previous high of days of DoorDash is smaller, thus worse.
  • Looking at maximum drop from peak to valley in of -82.5 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:
  • Looking at the maximum days under water of days in the last 5 years of DoorDash, we see it is relatively lower, thus better in comparison to the benchmark SPY (488 days)
  • Compared with SPY (488 days) in the period of the last 3 years, the maximum days under water of 676 days is higher, 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.'

Which means for our asset as example:
  • Looking at the average days below previous high of days in the last 5 years of DoorDash, we see it is relatively lower, thus better in comparison to the benchmark SPY (123 days)
  • Compared with SPY (180 days) in the period of the last 3 years, the average days under water of 309 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 DoorDash are hypothetical and do not account for slippage, fees or taxes.