Description

Airbnb, Inc. - Class A Common Stock

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:
  • Looking at the total return, or increase in value of -13.9% in the last 5 years of Airbnb, we see it is relatively lower, thus worse in comparison to the benchmark SPY (84.8%)
  • During the last 3 years, the total return, or increase in value is 14.5%, which is lower, thus worse than the value of 84.8% from the benchmark.

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.'

Which means for our asset as example:
  • The compounded annual growth rate (CAGR) over 5 years of Airbnb is -3%, which is smaller, thus worse compared to the benchmark SPY (13.1%) in the same period.
  • During the last 3 years, the compounded annual growth rate (CAGR) is 4.6%, which is lower, thus worse than the value of 22.8% from the benchmark.

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 historical 30 days volatility of 44.4% in the last 5 years of Airbnb, we see it is relatively greater, thus worse in comparison to the benchmark SPY (17.2%)
  • Compared with SPY (15.3%) in the period of the last 3 years, the 30 days standard deviation of 36.6% is greater, 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 Airbnb is 30.7%, which is higher, thus worse compared to the benchmark SPY (11.8%) in the same period.
  • Looking at downside deviation in of 24.8% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (10.2%).

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Which means for our asset as example:
  • Looking at the ratio of return and volatility (Sharpe) of -0.12 in the last 5 years of Airbnb, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.62)
  • Compared with SPY (1.33) in the period of the last 3 years, the Sharpe Ratio of 0.06 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.9) in the period of the last 5 years, the excess return divided by the downside deviation of -0.18 of Airbnb is lower, thus worse.
  • Compared with SPY (1.99) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.09 is lower, 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:
  • Compared with the benchmark SPY (8.45 ) in the period of the last 5 years, the Ulcer Ratio of 36 of Airbnb is larger, thus worse.
  • Looking at Ulcer Index in of 19 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (3.23 ).

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 Airbnb is -60.2 days, which is lower, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum DrawDown of -37.2 days is smaller, thus worse.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 1218 days of Airbnb is greater, thus worse.
  • Looking at maximum time in days below previous high water mark in of 595 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (87 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:
  • Compared with the benchmark SPY (118 days) in the period of the last 5 years, the average days below previous high of 594 days of Airbnb is larger, thus worse.
  • Looking at average time in days below previous high water mark in of 246 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (17 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 Airbnb are hypothetical and do not account for slippage, fees or taxes.