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:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

Applying this definition to our asset in some examples:
  • Looking at the total return, or performance of 41.1% in the last 5 years of Citrix Systems, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (88.7%)
  • During the last 3 years, the total return is 11.5%, which is smaller, thus worse than the value of 77.2% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the annual return (CAGR) of 7.1% in the last 5 years of Citrix Systems, we see it is relatively lower, thus worse in comparison to the benchmark SPY (13.6%)
  • Looking at annual return (CAGR) in of 3.7% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (21.2%).

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:
  • Looking at the historical 30 days volatility of 27.4% in the last 5 years of Citrix Systems, we see it is relatively greater, thus worse in comparison to the benchmark SPY (17.1%)
  • During the last 3 years, the 30 days standard deviation is 32.5%, which is greater, thus worse than the value of 15.1% 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 larger, thus worse.
  • Looking at downside deviation in of 22.6% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (10.1%).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.65) in the period of the last 5 years, the Sharpe Ratio of 0.17 of Citrix Systems is lower, thus worse.
  • Compared with SPY (1.23) in the period of the last 3 years, the Sharpe Ratio of 0.04 is lower, thus worse.

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.'

Using this definition on our asset we see for example:
  • The excess return divided by the downside deviation over 5 years of Citrix Systems is 0.24, which is lower, thus worse compared to the benchmark SPY (0.94) in the same period.
  • Compared with SPY (1.84) 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:
  • The Ulcer Index over 5 years of Citrix Systems is 23 , which is greater, thus worse compared to the benchmark SPY (8.42 ) in the same period.
  • During the last 3 years, the Downside risk index is 28 , which is greater, thus worse than the value of 3.4 from the benchmark.

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:
  • The maximum reduction from previous high over 5 years of Citrix Systems is -52.4 days, which is smaller, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • During the last 3 years, the maximum drop from peak to valley is -52.4 days, which is smaller, 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'

Which means for our asset as example:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 554 days of Citrix Systems is larger, thus worse.
  • Looking at maximum days below previous high in of 554 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (87 days).

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:
  • The average time in days below previous high water mark over 5 years of Citrix Systems is 173 days, which is higher, thus worse compared to the benchmark SPY (119 days) in the same period.
  • Looking at average days under water in of 219 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (19 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 Citrix Systems are hypothetical and do not account for slippage, fees or taxes.