Description of Check Point Software Technologies

Check Point Software Technologies Ltd. - Ordinary Shares

Statistics of Check Point Software Technologies (YTD)

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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.'

Using this definition on our asset we see for example:
  • The total return, or performance over 5 years of Check Point Software Technologies is 79.9%, which is larger, thus better compared to the benchmark SPY (66%) in the same period.
  • Looking at total return, or increase in value in of 41.6% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (45.6%).

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Using this definition on our asset we see for example:
  • Looking at the annual performance (CAGR) of 12.5% in the last 5 years of Check Point Software Technologies, we see it is relatively larger, thus better in comparison to the benchmark SPY (10.7%)
  • Compared with SPY (13.3%) in the period of the last 3 years, the annual return (CAGR) of 12.3% is lower, thus worse.

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.'

Applying this definition to our asset in some examples:
  • Looking at the historical 30 days volatility of 20.7% in the last 5 years of Check Point Software Technologies, we see it is relatively higher, thus worse in comparison to the benchmark SPY (13.4%)
  • Looking at volatility in of 20.6% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (12.3%).

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (14.6%) in the period of the last 5 years, the downside risk of 22.3% of Check Point Software Technologies is larger, thus worse.
  • Compared with SPY (13.8%) in the period of the last 3 years, the downside deviation of 23% 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:
  • Compared with the benchmark SPY (0.61) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.48 of Check Point Software Technologies is smaller, thus worse.
  • Compared with SPY (0.88) in the period of the last 3 years, the Sharpe Ratio of 0.48 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:
  • The ratio of annual return and downside deviation over 5 years of Check Point Software Technologies is 0.45, which is lower, thus worse compared to the benchmark SPY (0.56) in the same period.
  • During the last 3 years, the downside risk / excess return profile is 0.43, which is smaller, thus worse than the value of 0.78 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (3.99 ) in the period of the last 5 years, the Ulcer Index of 8.72 of Check Point Software Technologies is greater, thus worse.
  • During the last 3 years, the Ulcer Ratio is 9.19 , which is higher, thus worse than the value of 4.04 from the benchmark.

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.'

Which means for our asset as example:
  • The maximum DrawDown over 5 years of Check Point Software Technologies is -19.7 days, which is smaller, thus worse compared to the benchmark SPY (-19.3 days) in the same period.
  • Looking at maximum DrawDown in of -19.7 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-19.3 days).

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) in days.'

Which means for our asset as example:
  • Looking at the maximum days below previous high of 229 days in the last 5 years of Check Point Software Technologies, we see it is relatively greater, thus worse in comparison to the benchmark SPY (187 days)
  • During the last 3 years, the maximum time in days below previous high water mark is 229 days, which is greater, thus worse than the value of 139 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:
  • Looking at the average days below previous high of 71 days in the last 5 years of Check Point Software Technologies, we see it is relatively greater, thus worse in comparison to the benchmark SPY (41 days)
  • Looking at average time in days below previous high water mark in of 57 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (36 days).

Performance of Check Point Software Technologies (YTD)

Historical returns have been extended using synthetic data.

Allocations of Check Point Software Technologies
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Allocations

Returns of Check Point Software Technologies (%)

  • "Year" returns in the table above are not equal to the sum of monthly returns due to compounding.
  • Performance results of Check Point Software Technologies are hypothetical, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.