Description

Check Point Software Technologies Ltd. develops, markets, and supports a range of products and services for IT security worldwide. The company offers a portfolio of network security, endpoint security, data security, and management solutions. It provides Check Point Infinity Architecture, a cyber security architecture that protects against 5th and 6th generation cyber-attacks across various networks, endpoint, cloud, workloads, Internet of Things, and mobile; Check Point Network Security, security gateways and software platforms that support small business and large enterprise data center and telco-grade environment; and Check Point SandBlast family for threat prevention and zero-day protections. The company also offers Check Point CloudGuard cloud security product that delivers threat prevention security, cloud visibility, cloud security posture management, and workload protection solutions for enterprise cloud networks, data, and applications; Check Point SandBlast Mobile for mobile security in iOS and Android devices; and Check Point Security Management, which offers security management through a single console that streamlines security operations and provides visibility into policy administration and threat analysis. In addition, the company provides technical customer support programs and plans; professional services in implementing, upgrading, and optimizing Check Point products comprising design planning and security implementation; and certification and educational training services on Check Point products. It sells its products and services to enterprises, service providers, small and medium sized businesses, and consumers through a network of channel partners, such as distributors, resellers, system integrators, original equipment manufacturers, and managed security service providers. Check Point Software Technologies Ltd. was founded in 1993 and is headquartered in Tel Aviv, Israel.

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

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.'

Applying this definition to our asset in some examples:
  • The total return over 5 years of Check Point Software is 55.8%, which is lower, thus worse compared to the benchmark SPY (96.7%) in the same period.
  • Compared with SPY (83.7%) in the period of the last 3 years, the total return, or performance of 45.8% is smaller, 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (14.6%) in the period of the last 5 years, the annual return (CAGR) of 9.3% of Check Point Software is lower, thus worse.
  • During the last 3 years, the compounded annual growth rate (CAGR) is 13.5%, which is lower, thus worse than the value of 22.6% from the benchmark.

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Which means for our asset as example:
  • The 30 days standard deviation over 5 years of Check Point Software is 25.4%, which is higher, thus worse compared to the benchmark SPY (17.1%) in the same period.
  • During the last 3 years, the 30 days standard deviation is 25%, which is higher, thus worse than the value of 15.4% 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.'

Using this definition on our asset we see for example:
  • The downside deviation over 5 years of Check Point Software is 18.6%, which is higher, thus worse compared to the benchmark SPY (11.8%) in the same period.
  • Looking at downside volatility in of 18.8% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (10.2%).

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.'

Which means for our asset as example:
  • The risk / return profile (Sharpe) over 5 years of Check Point Software is 0.27, which is smaller, thus worse compared to the benchmark SPY (0.7) in the same period.
  • Compared with SPY (1.31) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.44 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.'

Applying this definition to our asset in some examples:
  • The ratio of annual return and downside deviation over 5 years of Check Point Software is 0.37, which is lower, thus worse compared to the benchmark SPY (1.02) in the same period.
  • Looking at downside risk / excess return profile in of 0.58 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.97).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (8.42 ) in the period of the last 5 years, the Ulcer Index of 12 of Check Point Software is higher, thus worse.
  • Looking at Ulcer Index in of 8.2 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (3.52 ).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -26.6 days of Check Point Software is lower, thus worse.
  • During the last 3 years, the maximum drop from peak to valley is -22.6 days, which is lower, thus worse than the value of -18.8 days from the benchmark.

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'

Using this definition on our asset we see for example:
  • The maximum days under water over 5 years of Check Point Software is 451 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • Looking at maximum days below previous high in of 133 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (87 days).

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.'

Using this definition on our asset we see for example:
  • Looking at the average days under water of 135 days in the last 5 years of Check Point Software, we see it is relatively higher, thus worse in comparison to the benchmark SPY (120 days)
  • Compared with SPY (21 days) in the period of the last 3 years, the average days under water of 34 days is greater, thus worse.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of Check Point Software are hypothetical and do not account for slippage, fees or taxes.