Check Point Software (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 (91.1%) in the period of the last 5 years, the total return, or performance of 37.2% of Check Point Software is lower, thus worse.
• Looking at total return, or increase in value in of 32.4% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (80.1%).

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.'

• The compounded annual growth rate (CAGR) over 5 years of Check Point Software is 6.6%, which is smaller, thus worse compared to the benchmark SPY (13.9%) in the same period.
• During the last 3 years, the compounded annual growth rate (CAGR) is 9.9%, which is smaller, thus worse than the value of 21.8% from the benchmark.

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.'

• Looking at the 30 days standard deviation of 25.2% in the last 5 years of Check Point Software, we see it is relatively greater, thus worse in comparison to the benchmark SPY (17.1%)
• Compared with SPY (15.2%) in the period of the last 3 years, the volatility of 25.2% is greater, 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.'

• Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside risk of 18.7% of Check Point Software is larger, thus worse.
• Compared with SPY (10.2%) in the period of the last 3 years, the downside risk of 19.1% 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.'

• Compared with the benchmark SPY (0.67) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.16 of Check Point Software is smaller, thus worse.
• Looking at risk / return profile (Sharpe) in of 0.29 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.27).

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 excess return divided by the downside deviation of 0.22 in the last 5 years of Check Point Software, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.97)
• Looking at excess return divided by the downside deviation in of 0.39 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.89).

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 Ulcer 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 )
• Compared with SPY (3.51 ) in the period of the last 3 years, the Ulcer Index of 8.9 is greater, thus worse.

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

• The maximum drop from peak to valley over 5 years of Check Point Software is -26.6 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 -25.3 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 under water of 451 days of Check Point Software is lower, thus better.
• Looking at maximum time in days below previous high water mark in of 156 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (87 days).

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 below previous high over 5 years of Check Point Software is 132 days, which is larger, thus worse compared to the benchmark SPY (119 days) in the same period.
• Compared with SPY (21 days) in the period of the last 3 years, the average days under water of 38 days is larger, thus worse.