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 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.'

Applying this definition to our asset in some examples:
  • Looking at the total return, or increase in value of 45.4% in the last 5 years of Check Point Software, we see it is relatively lower, thus worse in comparison to the benchmark SPY (97.2%)
  • Compared with SPY (80.6%) in the period of the last 3 years, the total return of 43.8% 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.'

Using this definition on our asset we see for example:
  • Looking at the compounded annual growth rate (CAGR) of 7.8% in the last 5 years of Check Point Software, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (14.6%)
  • During the last 3 years, the compounded annual growth rate (CAGR) is 12.9%, which is lower, thus worse than the value of 21.8% 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:
  • Compared with the benchmark SPY (17.1%) in the period of the last 5 years, the volatility of 25.1% of Check Point Software is higher, thus worse.
  • During the last 3 years, the volatility is 25.1%, which is greater, thus worse than the value of 15.2% from the benchmark.

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:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside risk of 18.6% of Check Point Software is higher, thus worse.
  • Looking at downside risk in of 18.9% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (10.2%).

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Which means for our asset as example:
  • Looking at the risk / return profile (Sharpe) of 0.21 in the last 5 years of Check Point Software, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.71)
  • Compared with SPY (1.27) in the period of the last 3 years, the Sharpe Ratio of 0.42 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (1.03) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.29 of Check Point Software is lower, thus worse.
  • Compared with SPY (1.9) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.55 is smaller, thus worse.

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.'

Which means for our asset as example:
  • Looking at the Ulcer Ratio of 12 in the last 5 years of Check Point Software, we see it is relatively greater, 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 Ratio of 8.8 is larger, 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum drop from peak to valley of -26.6 days of Check Point Software is lower, thus worse.
  • Looking at maximum reduction from previous high in of -22.6 days in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (-18.8 days).

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 below previous high of 451 days of Check Point Software is lower, thus better.
  • Compared with SPY (87 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 154 days is greater, thus worse.

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.'

Applying this definition to our asset in some examples:
  • The average days below previous high over 5 years of Check Point Software is 132 days, which is higher, thus worse compared to the benchmark SPY (120 days) in the same period.
  • Compared with SPY (21 days) in the period of the last 3 years, the average days below previous high of 38 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.