Description

Citrix Systems, Inc. provides workspace, networking, and professional services worldwide. The company offers workspace services, including Citrix Virtual Apps and Desktops; Citrix Content Collaboration, a cloud-based file sharing and storage solution, which provides enterprise-class data services on various corporate and personal mobile devices for businesses; Citrix Endpoint Management for mobility and device management capabilities; and Workspace Intelligence that customizes and streamlines user workflows, as well as microapp creation with low-code tooling, automates tasks and functions. It also provides networking products comprising Citrix ADC, an application delivery controller and load balancing solution for web, traditional and cloud-native applications; and Citrix SD-WAN, a WAN Edge solution that delivers flexible, automated, secure connectivity and performance for the workspace, as well as Citrix Analytics for security, performance, and operations. In addition, the company offers customer services, hardware maintenance, consulting, and product training and certification services. The company serves health care, financial services, technology, manufacturing, consumer, and government agencies. It markets and licenses its products through resellers, distributors, systems integrators, independent software vendors, original equipment manufacturers, and service providers. The company was formerly known as Citrus Systems, Inc. and changed its name to Citrix Systems, Inc. in March 2009. Citrix Systems, Inc. was founded in 1989 and is headquartered in Fort Lauderdale, Florida.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (88%) in the period of the last 5 years, the total return of 41.1% of Citrix Systems is smaller, thus worse.
  • Compared with SPY (74.8%) in the period of the last 3 years, the total return, or performance of 11.5% 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:
  • The annual return (CAGR) over 5 years of Citrix Systems is 7.1%, which is lower, thus worse compared to the benchmark SPY (13.5%) in the same period.
  • During the last 3 years, the annual performance (CAGR) is 3.7%, which is smaller, thus worse than the value of 20.6% 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:
  • Compared with the benchmark SPY (17.1%) in the period of the last 5 years, the historical 30 days volatility of 27.4% of Citrix Systems is greater, thus worse.
  • During the last 3 years, the volatility is 32.5%, which is higher, 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside risk of 19.1% of Citrix Systems is higher, thus worse.
  • During the last 3 years, the downside risk is 22.6%, which is greater, thus worse than the value of 10.2% from the benchmark.

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Using this definition on our asset we see for example:
  • The Sharpe Ratio over 5 years of Citrix Systems is 0.17, which is smaller, thus worse compared to the benchmark SPY (0.65) in the same period.
  • Looking at Sharpe Ratio in of 0.04 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.19).

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.94) in the period of the last 5 years, the excess return divided by the downside deviation of 0.24 of Citrix Systems is lower, thus worse.
  • Compared with SPY (1.78) in the period of the last 3 years, the excess return divided by the downside deviation of 0.05 is lower, thus worse.

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (8.42 ) in the period of the last 5 years, the Ulcer Ratio of 23 of Citrix Systems is larger, thus worse.
  • Compared with SPY (3.42 ) in the period of the last 3 years, the Downside risk index of 28 is higher, thus worse.

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

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 DrawDown of -52.4 days of Citrix Systems is lower, thus worse.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum reduction from previous high of -52.4 days is lower, thus worse.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 554 days of Citrix Systems is larger, thus worse.
  • During the last 3 years, the maximum days under water is 554 days, which is higher, thus worse than the value of 87 days from the benchmark.

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.'

Which means for our asset as example:
  • Looking at the average days below previous high of 173 days in the last 5 years of Citrix Systems, we see it is relatively higher, thus worse in comparison to the benchmark SPY (119 days)
  • During the last 3 years, the average days below previous high is 219 days, which is greater, thus worse than the value of 19 days from the benchmark.

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 Citrix Systems are hypothetical and do not account for slippage, fees or taxes.