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)

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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:
  • Looking at the total return of 31.8% in the last 5 years of Check Point Software, we see it is relatively lower, thus worse in comparison to the benchmark SPY (102.7%)
  • Compared with SPY (38.1%) in the period of the last 3 years, the total return of 42.4% is higher, thus better.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Using this definition on our asset we see for example:
  • Looking at the annual return (CAGR) of 5.7% in the last 5 years of Check Point Software, we see it is relatively lower, thus worse in comparison to the benchmark SPY (15.2%)
  • Looking at compounded annual growth rate (CAGR) in of 12.5% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (11.4%).

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.'

Using this definition on our asset we see for example:
  • Looking at the historical 30 days volatility of 25.5% in the last 5 years of Check Point Software, we see it is relatively greater, thus worse in comparison to the benchmark SPY (20.9%)
  • During the last 3 years, the volatility is 22.4%, which is larger, thus worse than the value of 17.3% 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.'

Applying this definition to our asset in some examples:
  • The downside risk over 5 years of Check Point Software is 17.9%, which is higher, thus worse compared to the benchmark SPY (15%) in the same period.
  • Looking at downside volatility in of 15.5% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (12%).

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.'

Using this definition on our asset we see for example:
  • The Sharpe Ratio over 5 years of Check Point Software is 0.12, which is lower, thus worse compared to the benchmark SPY (0.61) in the same period.
  • During the last 3 years, the risk / return profile (Sharpe) is 0.45, which is smaller, thus worse than the value of 0.51 from the benchmark.

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:
  • Compared with the benchmark SPY (0.85) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.18 of Check Point Software is lower, thus worse.
  • Compared with SPY (0.74) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.65 is smaller, thus worse.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (9.32 ) in the period of the last 5 years, the Ulcer Ratio of 14 of Check Point Software is larger, thus worse.
  • Looking at Ulcer Ratio in of 12 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (10 ).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum DrawDown of -37.6 days of Check Point Software is smaller, thus worse.
  • During the last 3 years, the maximum DrawDown is -26.6 days, which is smaller, thus worse than the value of -24.5 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:
  • Looking at the maximum time in days below previous high water mark of 451 days in the last 5 years of Check Point Software, we see it is relatively smaller, thus better in comparison to the benchmark SPY (488 days)
  • Looking at maximum time in days below previous high water mark in of 451 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (488 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 192 days in the last 5 years of Check Point Software, we see it is relatively greater, thus worse in comparison to the benchmark SPY (124 days)
  • Looking at average days under water in of 157 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (181 days).

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, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.