Check Point Software (CHKP)

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.'

• Looking at the total return, or performance of 46% in the last 5 years of Check Point Software, we see it is relatively lower, thus worse in comparison to the benchmark SPY (95%)
• Looking at total return, or increase in value in of 53.1% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (86.2%).

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.'

• Compared with the benchmark SPY (14.3%) in the period of the last 5 years, the annual performance (CAGR) of 7.9% of Check Point Software is smaller, thus worse.
• Looking at annual return (CAGR) in of 15.3% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (23.1%).

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 historical 30 days volatility over 5 years of Check Point Software is 25.1%, which is larger, thus worse compared to the benchmark SPY (17.1%) in the same period.
• Compared with SPY (15.3%) in the period of the last 3 years, the historical 30 days volatility of 25.1% is larger, thus worse.

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.'

• Looking at the downside deviation of 18.6% 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%)
• During the last 3 years, the downside volatility is 18.8%, which is greater, thus worse than the value of 10.2% 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.'

• Looking at the Sharpe Ratio of 0.21 in the last 5 years of Check Point Software, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.69)
• Compared with SPY (1.35) in the period of the last 3 years, the Sharpe Ratio of 0.51 is smaller, thus worse.

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 ratio of annual return and downside deviation of 0.29 in the last 5 years of Check Point Software, we see it is relatively lower, thus worse in comparison to the benchmark SPY (1.01)
• Compared with SPY (2.03) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.68 is smaller, thus worse.

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

• The Downside risk index over 5 years of Check Point Software is 12 , which is higher, thus worse compared to the benchmark SPY (8.42 ) in the same period.
• Compared with SPY (3.51 ) in the period of the last 3 years, the Ulcer Ratio of 8.66 is higher, thus worse.

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.'

• Looking at the maximum drop from peak to valley of -26.6 days in the last 5 years of Check Point Software, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-24.5 days)
• Looking at maximum DrawDown in of -22.6 days in the period of the last 3 years, we see it is relatively smaller, 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.
• During the last 3 years, the maximum time in days below previous high water mark is 149 days, which is larger, thus worse than the value of 87 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.'

• Looking at the average days under water of 131 days in the last 5 years of Check Point Software, we see it is relatively greater, thus worse in comparison to the benchmark SPY (119 days)
• Compared with SPY (21 days) in the period of the last 3 years, the average days below previous high of 37 days is larger, thus worse.