Check Point Software (CHKP)

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.'

• Compared with the benchmark SPY (88%) in the period of the last 5 years, the total return, or increase in value of 37.3% of Check Point Software is lower, thus worse.
• Looking at total return, or performance in of 27.3% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (74.8%).

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.'

• Looking at the annual performance (CAGR) of 6.6% in the last 5 years of Check Point Software, we see it is relatively lower, thus worse in comparison to the benchmark SPY (13.5%)
• Looking at annual performance (CAGR) in of 8.4% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (20.6%).

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.'

• The 30 days standard deviation over 5 years of Check Point Software is 25.1%, which is greater, thus worse compared to the benchmark SPY (17.1%) in the same period.
• During the last 3 years, the volatility is 25.8%, which is larger, thus worse than the value of 15.2% from the benchmark.

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.'

• Looking at the downside volatility of 18.5% in the last 5 years of Check Point Software, we see it is relatively larger, thus worse in comparison to the benchmark SPY (11.8%)
• Compared with SPY (10.2%) in the period of the last 3 years, the downside volatility of 19.6% is greater, thus worse.

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.'

• Looking at the risk / return profile (Sharpe) of 0.16 in the last 5 years of Check Point Software, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.65)
• Looking at risk / return profile (Sharpe) in of 0.23 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.19).

Sortino:

'The Sortino ratio, a variation of the Sharpe ratio only factors in the downside, or negative volatility, rather than the total volatility used in calculating the Sharpe ratio. The theory behind the Sortino variation is that upside volatility is a plus for the investment, and it, therefore, should not be included in the risk calculation. Therefore, the Sortino ratio takes upside volatility out of the equation and uses only the downside standard deviation in its calculation instead of the total standard deviation that is used in calculating the Sharpe ratio.'

• Looking at the downside risk / excess return profile of 0.22 in the last 5 years of Check Point Software, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.94)
• During the last 3 years, the downside risk / excess return profile is 0.3, which is lower, thus worse than the value of 1.78 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.'

• Looking at the Downside risk index of 12 in the last 5 years of Check Point Software, we see it is relatively higher, thus worse in comparison to the benchmark SPY (8.42 )
• During the last 3 years, the Downside risk index is 9.74 , which is higher, thus worse than the value of 3.42 from the benchmark.

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

• The maximum drop from peak to valley over 5 years of Check Point Software is -31.9 days, which is lower, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
• Looking at maximum drop from peak to valley in of -31.9 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-18.8 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). 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'

• Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days below previous high of 451 days of Check Point Software is lower, thus better.
• Compared with SPY (87 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 176 days is greater, 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.'

• The average days under water over 5 years of Check Point Software is 114 days, which is lower, thus better compared to the benchmark SPY (119 days) in the same period.
• During the last 3 years, the average days below previous high is 42 days, which is larger, thus worse than the value of 19 days from the benchmark.