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)

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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 of 152.9% in the last 5 years of Booking, we see it is relatively higher, thus better in comparison to the benchmark SPY (101.9%)
  • During the last 3 years, the total return, or performance is 115.1%, which is greater, thus better than the value of 33.5% 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.'

Using this definition on our asset we see for example:
  • The compounded annual growth rate (CAGR) over 5 years of Booking is 20.4%, which is higher, thus better compared to the benchmark SPY (15.1%) in the same period.
  • Compared with SPY (10.1%) in the period of the last 3 years, the annual return (CAGR) of 29.2% is greater, thus better.

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.'

Using this definition on our asset we see for example:
  • The volatility over 5 years of Booking is 37.3%, which is larger, thus worse compared to the benchmark SPY (21%) in the same period.
  • Looking at historical 30 days volatility in of 32.2% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (17.5%).

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 volatility over 5 years of Booking is 25.5%, which is higher, thus worse compared to the benchmark SPY (15%) in the same period.
  • During the last 3 years, the downside deviation is 23%, which is higher, 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.6) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.48 of Booking is smaller, thus worse.
  • Compared with SPY (0.44) in the period of the last 3 years, the Sharpe Ratio of 0.83 is greater, thus better.

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:
  • Compared with the benchmark SPY (0.84) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.7 of Booking is lower, thus worse.
  • Looking at excess return divided by the downside deviation in of 1.16 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.62).

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:
  • Compared with the benchmark SPY (9.32 ) in the period of the last 5 years, the Ulcer Ratio of 16 of Booking is larger, thus worse.
  • Looking at Downside risk index in of 16 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (10 ).

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

Using this definition on our asset we see for example:
  • Looking at the maximum drop from peak to valley of -44.8 days in the last 5 years of Booking, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-33.7 days)
  • During the last 3 years, the maximum DrawDown is -39.5 days, which is lower, thus worse than the value of -24.5 days from the benchmark.

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:
  • The maximum time in days below previous high water mark over 5 years of Booking is 301 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • Looking at maximum days below previous high in of 301 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (488 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.'

Applying this definition to our asset in some examples:
  • The average days under water over 5 years of Booking is 74 days, which is smaller, thus better compared to the benchmark SPY (122 days) in the same period.
  • Looking at average days under water in of 80 days in the period of the last 3 years, we see it is relatively lower, thus better 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 Booking are hypothetical and do not account for slippage, fees or taxes.