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:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

Which means for our asset as example:
  • Compared with the benchmark SPY (94.2%) in the period of the last 5 years, the total return, or increase in value of 90.9% of Booking is smaller, thus worse.
  • During the last 3 years, the total return, or increase in value is 67%, which is larger, thus better than the value of 27.9% 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 annual return (CAGR) over 5 years of Booking is 13.8%, which is lower, thus worse compared to the benchmark SPY (14.2%) in the same period.
  • Looking at compounded annual growth rate (CAGR) in of 18.7% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (8.6%).

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:
  • Compared with the benchmark SPY (20.9%) in the period of the last 5 years, the historical 30 days volatility of 37.1% of Booking is larger, thus worse.
  • Looking at 30 days standard deviation in of 33.2% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (17.3%).

DownVol:

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

Which means for our asset as example:
  • The downside risk over 5 years of Booking is 25.4%, which is higher, thus worse 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 deviation of 23.3% 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.'

Applying this definition to our asset in some examples:
  • The risk / return profile (Sharpe) over 5 years of Booking is 0.31, which is lower, thus worse compared to the benchmark SPY (0.56) in the same period.
  • Compared with SPY (0.35) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.49 is greater, thus better.

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:
  • The downside risk / excess return profile over 5 years of Booking is 0.45, which is smaller, thus worse compared to the benchmark SPY (0.78) in the same period.
  • During the last 3 years, the ratio of annual return and downside deviation is 0.7, which is greater, thus better than the value of 0.5 from the benchmark.

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 (9.32 ) in the period of the last 5 years, the Ulcer Ratio of 16 of Booking is larger, thus worse.
  • Looking at Ulcer 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum drop from peak to valley of -44.8 days of Booking is lower, thus worse.
  • Compared with SPY (-24.5 days) in the period of the last 3 years, the maximum drop from peak to valley of -39.5 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.'

Applying this definition to our asset in some examples:
  • Looking at the maximum time in days below previous high water mark of 301 days in the last 5 years of Booking, we see it is relatively lower, thus better in comparison to the benchmark SPY (488 days)
  • During the last 3 years, the maximum days below previous high is 301 days, which is smaller, thus better than the value of 488 days from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • The average days under water over 5 years of Booking is 75 days, which is smaller, thus better compared to the benchmark SPY (123 days) in the same period.
  • During the last 3 years, the average days under water is 80 days, which is lower, thus better than the value of 180 days from the benchmark.

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.