Description

Booking Holdings Inc. provides travel and restaurant online reservation and related services worldwide. The company operates Booking.com, which connects travellers with a selection of places to stay, including apartments, vacation homes, family-run B&Bs, 5-star luxury resorts, tree houses, and igloos; and KAYAK that searches other sites to show travellers the information they need to find the right flights, hotels, rental cars, and vacation packages. It also operates Priceline, an online travel deal service, which provides travellers to save on hotel rooms, airline tickets, rental cars, vacation packages, and cruises; Agoda, which provides online accommodation reservation services. In addition, the company operates Rentalcars.com that offers online rental car reservation services; and OpenTable, an online provider of restaurant reservation services to consumers and restaurant reservation management services to restaurants. Further, it offers travel-related insurance products. The company was formerly known as The Priceline Group Inc. and changed its name to Booking Holdings Inc. in February 2018. Booking Holdings Inc. was founded in 1997 and is headquartered in Norwalk, Connecticut.

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:
  • The total return, or performance over 5 years of Booking is 84.8%, which is greater, thus better compared to the benchmark SPY (84.5%) in the same period.
  • Compared with SPY (78%) in the period of the last 3 years, the total return, or performance of 36.1% is lower, thus worse.

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:
  • Looking at the annual return (CAGR) of 13.1% in the last 5 years of Booking, we see it is relatively larger, thus better in comparison to the benchmark SPY (13.1%)
  • Looking at compounded annual growth rate (CAGR) in of 10.9% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (21.3%).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (17.2%) in the period of the last 5 years, the 30 days standard deviation of 33.1% of Booking is higher, thus worse.
  • Compared with SPY (15.3%) in the period of the last 3 years, the 30 days standard deviation of 30.6% is larger, thus worse.

DownVol:

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

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside deviation of 23.3% of Booking is greater, thus worse.
  • Looking at downside deviation in of 21.7% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (10.2%).

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 Booking is 0.32, which is lower, thus worse compared to the benchmark SPY (0.62) in the same period.
  • Compared with SPY (1.23) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.27 is smaller, thus worse.

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.'

Using this definition on our asset we see for example:
  • Looking at the excess return divided by the downside deviation of 0.46 in the last 5 years of Booking, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.89)
  • Looking at downside risk / excess return profile in of 0.39 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.83).

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Using this definition on our asset we see for example:
  • Looking at the Downside risk index of 16 in the last 5 years of Booking, we see it is relatively larger, thus worse in comparison to the benchmark SPY (8.45 )
  • Looking at Ulcer Index in of 13 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (3.3 ).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -39.5 days of Booking is smaller, thus worse.
  • During the last 3 years, the maximum drop from peak to valley is -33.4 days, which is smaller, 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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Applying this definition to our asset in some examples:
  • Looking at the maximum time in days below previous high water mark of 303 days in the last 5 years of Booking, we see it is relatively smaller, thus better in comparison to the benchmark SPY (488 days)
  • During the last 3 years, the maximum time in days below previous high water mark is 303 days, which is greater, thus worse than the value of 87 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:
  • Compared with the benchmark SPY (118 days) in the period of the last 5 years, the average days under water of 93 days of Booking is lower, thus better.
  • Compared with SPY (17 days) in the period of the last 3 years, the average days below previous high of 83 days is greater, 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 Booking are hypothetical and do not account for slippage, fees or taxes.