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:
  • Compared with the benchmark SPY (93.2%) in the period of the last 5 years, the total return of 41.1% of Citrix Systems is lower, thus worse.
  • Looking at total return, or increase in value in of 11.5% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (80.1%).

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 compounded annual growth rate (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 (14.1%)
  • During the last 3 years, the annual return (CAGR) is 3.7%, which is lower, thus worse than the value of 21.8% from the benchmark.

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Which means for our asset as example:
  • Compared with the benchmark SPY (17%) in the period of the last 5 years, the volatility of 27.4% of Citrix Systems is larger, thus worse.
  • Looking at 30 days standard deviation in of 32.5% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (15.1%).

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (11.7%) in the period of the last 5 years, the downside deviation of 19.1% of Citrix Systems is higher, thus worse.
  • During the last 3 years, the downside volatility is 22.6%, which is higher, thus worse than the value of 10.1% from the benchmark.

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 Citrix Systems is 0.17, which is lower, thus worse compared to the benchmark SPY (0.68) in the same period.
  • During the last 3 years, the Sharpe Ratio is 0.04, which is lower, thus worse than the value of 1.28 from the benchmark.

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:
  • Looking at the excess return divided by the downside deviation of 0.24 in the last 5 years of Citrix Systems, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.99)
  • Compared with SPY (1.91) in the period of the last 3 years, the excess return divided by the downside deviation of 0.05 is smaller, 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 Ratio over 5 years of Citrix Systems is 23 , which is higher, thus worse compared to the benchmark SPY (8.42 ) in the same period.
  • Compared with SPY (3.4 ) in the period of the last 3 years, the Ulcer Index of 28 is greater, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum reduction from previous high of -52.4 days of Citrix Systems is lower, thus worse.
  • During the last 3 years, the maximum reduction from previous high is -52.4 days, which is lower, 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:
  • Looking at the maximum time in days below previous high water mark of 554 days in the last 5 years of Citrix Systems, we see it is relatively larger, thus worse in comparison to the benchmark SPY (488 days)
  • During the last 3 years, the maximum days below previous high is 554 days, which is greater, 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.'

Using this definition on our asset we see for example:
  • The average days below previous high 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.
  • Compared with SPY (19 days) in the period of the last 3 years, the average days under water of 219 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 Citrix Systems are hypothetical and do not account for slippage, fees or taxes.