Check Point Software Technologies (CHKP)

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.'

• Compared with the benchmark SPY (66.9%) in the period of the last 5 years, the total return of 55.1% of Check Point Software Technologies is lower, thus worse.
• Compared with SPY (50.6%) in the period of the last 3 years, the total return, or increase in value of 36.1% is lower, thus worse.

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.'

• Looking at the compounded annual growth rate (CAGR) of 9.2% in the last 5 years of Check Point Software Technologies, we see it is relatively lower, thus worse in comparison to the benchmark SPY (10.8%)
• Looking at annual return (CAGR) in of 10.8% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (14.7%).

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.'

• Compared with the benchmark SPY (13.5%) in the period of the last 5 years, the volatility of 20.8% of Check Point Software Technologies is larger, thus worse.
• Compared with SPY (12.8%) in the period of the last 3 years, the 30 days standard deviation of 20.7% is greater, thus worse.

DownVol:

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

• The downside deviation over 5 years of Check Point Software Technologies is 22.2%, which is greater, thus worse compared to the benchmark SPY (14.8%) in the same period.
• Looking at downside risk in of 23.2% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (14.7%).

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.'

• The ratio of return and volatility (Sharpe) over 5 years of Check Point Software Technologies is 0.32, which is lower, thus worse compared to the benchmark SPY (0.61) in the same period.
• Looking at ratio of return and volatility (Sharpe) in of 0.4 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.95).

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.'

• Looking at the ratio of annual return and downside deviation of 0.3 in the last 5 years of Check Point Software Technologies, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.56)
• During the last 3 years, the ratio of annual return and downside deviation is 0.36, which is lower, thus worse than the value of 0.83 from the benchmark.

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.'

• Looking at the Ulcer Index of 9.64 in the last 5 years of Check Point Software Technologies, we see it is relatively higher, thus worse in comparison to the benchmark SPY (3.99 )
• During the last 3 years, the Ulcer Index is 10 , which is higher, thus worse than the value of 4.1 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.'

• Compared with the benchmark SPY (-19.3 days) in the period of the last 5 years, the maximum drop from peak to valley of -19.7 days of Check Point Software Technologies is lower, thus worse.
• 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). 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'

• 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 higher, thus worse in comparison to the benchmark SPY (187 days)
• During the last 3 years, the maximum days under water is 229 days, which is higher, 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.'

• The average time in days below previous high water mark over 5 years of Check Point Software Technologies is 77 days, which is larger, thus worse compared to the benchmark SPY (42 days) in the same period.
• Compared with SPY (36 days) in the period of the last 3 years, the average time in days below previous high water mark of 65 days is greater, thus worse.