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:
  • Looking at the total return, or performance of 132.9% in the last 5 years of Booking, we see it is relatively larger, thus better in comparison to the benchmark SPY (93.4%)
  • Compared with SPY (74%) in the period of the last 3 years, the total return of 92.3% is larger, thus better.

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

Which means for our asset as example:
  • Looking at the annual return (CAGR) of 18.5% in the last 5 years of Booking, we see it is relatively larger, thus better in comparison to the benchmark SPY (14.2%)
  • Looking at compounded annual growth rate (CAGR) in of 24.5% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (20.4%).

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.'

Applying this definition to our asset in some examples:
  • Looking at the 30 days standard deviation of 31.5% in the last 5 years of Booking, we see it is relatively larger, thus worse in comparison to the benchmark SPY (17%)
  • Compared with SPY (15.2%) in the period of the last 3 years, the historical 30 days volatility of 27.1% 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (11.7%) in the period of the last 5 years, the downside risk of 22.2% of Booking is greater, thus worse.
  • During the last 3 years, the downside risk is 18.9%, which is greater, thus worse than the value of 10.2% 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.'

Applying this definition to our asset in some examples:
  • The Sharpe Ratio over 5 years of Booking is 0.51, which is lower, thus worse compared to the benchmark SPY (0.69) in the same period.
  • Compared with SPY (1.18) in the period of the last 3 years, the Sharpe Ratio of 0.81 is lower, thus worse.

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (1) in the period of the last 5 years, the downside risk / excess return profile of 0.72 of Booking is lower, thus worse.
  • Looking at ratio of annual return and downside deviation in of 1.17 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.76).

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.'

Applying this definition to our asset in some examples:
  • The Downside risk index over 5 years of Booking is 13 , which is larger, thus worse compared to the benchmark SPY (8.42 ) in the same period.
  • Looking at Ulcer Index in of 7.27 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (3.49 ).

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 (-24.5 days) in the period of the last 5 years, the maximum reduction from previous high of -39.5 days of Booking is smaller, thus worse.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum drop from peak to valley of -21.3 days is lower, 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 301 days of Booking is lower, thus better.
  • Compared with SPY (87 days) in the period of the last 3 years, the maximum days under water of 146 days is larger, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (119 days) in the period of the last 5 years, the average time in days below previous high water mark of 70 days of Booking is lower, thus better.
  • Looking at average days below previous high in of 39 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (20 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 Booking are hypothetical and do not account for slippage, fees or taxes.