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:
  • Compared with the benchmark SPY (94.2%) in the period of the last 5 years, the total return, or increase in value of 59.4% of Check Point Software is lower, thus worse.
  • During the last 3 years, the total return is 43.9%, which is greater, thus better than the value of 27.9% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (14.2%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 9.8% of Check Point Software is lower, thus worse.
  • Compared with SPY (8.6%) in the period of the last 3 years, the annual return (CAGR) of 12.9% is greater, thus better.

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:
  • Compared with the benchmark SPY (20.9%) in the period of the last 5 years, the volatility of 25.5% of Check Point Software is larger, thus worse.
  • Compared with SPY (17.3%) in the period of the last 3 years, the volatility of 22.8% is higher, thus worse.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Using this definition on our asset we see for example:
  • Looking at the downside deviation of 17.6% in the last 5 years of Check Point Software, we see it is relatively greater, thus worse in comparison to the benchmark SPY (15%)
  • Looking at downside risk in of 15.8% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (12.1%).

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:
  • Compared with the benchmark SPY (0.56) in the period of the last 5 years, the Sharpe Ratio of 0.29 of Check Point Software is lower, thus worse.
  • Looking at risk / return profile (Sharpe) in of 0.46 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.35).

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 0.41, which is lower, thus worse compared to the benchmark SPY (0.78) in the same period.
  • Compared with SPY (0.5) in the period of the last 3 years, the excess return divided by the downside deviation of 0.66 is greater, thus better.

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.'

Which means for our asset as example:
  • The Downside risk index over 5 years of Check Point Software is 12 , which is greater, thus worse compared to the benchmark SPY (9.32 ) in the same period.
  • Compared with SPY (10 ) in the period of the last 3 years, the Ulcer Ratio of 12 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.'

Which means for our asset as example:
  • Looking at the maximum DrawDown of -31.2 days in the last 5 years of Check Point Software, we see it is relatively greater, thus better in comparison to the benchmark SPY (-33.7 days)
  • During the last 3 years, the maximum drop from peak to valley is -26.6 days, which is lower, thus worse than the value of -24.5 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.'

Using this definition on our asset we see for example:
  • 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.
  • Compared with SPY (488 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 451 days is lower, thus better.

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 133 days in the last 5 years of Check Point Software, we see it is relatively greater, thus worse in comparison to the benchmark SPY (123 days)
  • Compared with SPY (180 days) in the period of the last 3 years, the average days under water of 159 days is lower, thus better.

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.