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.'

• Compared with the benchmark SPY (94.8%) in the period of the last 5 years, the total return, or performance of 42.8% of Check Point Software is smaller, thus worse.
• Compared with SPY (76.3%) in the period of the last 3 years, the total return of 24.9% is lower, thus worse.

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.'

• The compounded annual growth rate (CAGR) over 5 years of Check Point Software is 7.4%, which is lower, thus worse compared to the benchmark SPY (14.3%) in the same period.
• During the last 3 years, the annual return (CAGR) is 7.7%, which is lower, thus worse than the value of 20.9% 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.'

• The 30 days standard deviation over 5 years of Check Point Software is 25.2%, which is higher, thus worse compared to the benchmark SPY (17%) in the same period.
• During the last 3 years, the historical 30 days volatility is 26%, which is greater, thus worse than the value of 15.1% from the benchmark.

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 (11.7%) in the period of the last 5 years, the downside risk of 18.5% of Check Point Software is greater, thus worse.
• Compared with SPY (10.1%) in the period of the last 3 years, the downside deviation of 19.7% is larger, thus worse.

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

• Compared with the benchmark SPY (0.7) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.2 of Check Point Software is lower, thus worse.
• Looking at ratio of return and volatility (Sharpe) in of 0.2 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.22).

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 0.27 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)
• During the last 3 years, the downside risk / excess return profile is 0.26, which is lower, thus worse than the value of 1.82 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.'

• Compared with the benchmark SPY (8.42 ) in the period of the last 5 years, the Ulcer Ratio of 12 of Check Point Software is higher, thus worse.
• Looking at Ulcer Index in of 10 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (3.4 ).

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 DrawDown of -34.9 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)
• During the last 3 years, the maximum drop from peak to valley is -34.9 days, which is lower, thus worse than the value of -18.8 days from the benchmark.

MaxDuration:

'The Maximum 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. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

• Looking at the maximum days under water of 451 days in the last 5 years of Check Point Software, we see it is relatively lower, thus better in comparison to the benchmark SPY (488 days)
• Looking at maximum days below previous high in of 185 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 time in days below previous high water mark over 5 years of Check Point Software is 116 days, which is smaller, 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 44 days, which is greater, thus worse than the value of 19 days from the benchmark.