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 153.4% in the last 5 years of Citrix Systems, we see it is relatively higher, thus better in comparison to the benchmark SPY (120.7%)
  • Compared with SPY (44%) in the period of the last 3 years, the total return of 50.8% is higher, thus better.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (17.2%) in the period of the last 5 years, the annual performance (CAGR) of 20.4% of Citrix Systems is larger, thus better.
  • During the last 3 years, the annual return (CAGR) is 14.7%, which is larger, thus better than the value of 12.9% from the benchmark.

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.'

Which means for our asset as example:
  • Looking at the historical 30 days volatility of 25.9% in the last 5 years of Citrix Systems, we see it is relatively greater, thus worse in comparison to the benchmark SPY (18.8%)
  • Compared with SPY (22.8%) in the period of the last 3 years, the 30 days standard deviation of 27.4% is higher, thus worse.

DownVol:

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

Which means for our asset as example:
  • Compared with the benchmark SPY (13.6%) in the period of the last 5 years, the downside deviation of 17.7% of Citrix Systems is greater, thus worse.
  • During the last 3 years, the downside deviation is 18.9%, which is greater, thus worse than the value of 16.7% from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Looking at the ratio of return and volatility (Sharpe) of 0.69 in the last 5 years of Citrix Systems, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.78)
  • Looking at risk / return profile (Sharpe) in of 0.44 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.46).

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:
  • Looking at the excess return divided by the downside deviation of 1.01 in the last 5 years of Citrix Systems, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (1.08)
  • During the last 3 years, the excess return divided by the downside deviation is 0.64, which is higher, thus better than the value of 0.62 from the benchmark.

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 Downside risk index of 9.79 in the last 5 years of Citrix Systems, we see it is relatively greater, thus worse in comparison to the benchmark SPY (5.59 )
  • Looking at Downside risk index in of 12 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (7.15 ).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum DrawDown of -32.3 days of Citrix Systems is higher, thus better.
  • Compared with SPY (-33.7 days) in the period of the last 3 years, the maximum reduction from previous high of -32.3 days is higher, thus better.

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'

Using this definition on our asset we see for example:
  • The maximum days below previous high over 5 years of Citrix Systems is 307 days, which is greater, thus worse compared to the benchmark SPY (139 days) in the same period.
  • Compared with SPY (139 days) in the period of the last 3 years, the maximum days under water of 307 days is higher, 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.'

Using this definition on our asset we see for example:
  • The average time in days below previous high water mark over 5 years of Citrix Systems is 65 days, which is higher, thus worse compared to the benchmark SPY (33 days) in the same period.
  • During the last 3 years, the average time in days below previous high water mark is 83 days, which is higher, thus worse than the value of 45 days from the benchmark.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations
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Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of Citrix Systems are hypothetical, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.