Description of Citrix Systems

Citrix Systems, Inc. - Common Stock

Statistics of Citrix Systems (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.'

Using this definition on our asset we see for example:
  • Looking at the total return, or increase in value of 159.9% in the last 5 years of Citrix Systems, we see it is relatively greater, thus better in comparison to the benchmark SPY (68.2%)
  • During the last 3 years, the total return, or performance is 110.3%, which is higher, thus better than the value of 47.7% from the benchmark.

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

Using this definition on our asset we see for example:
  • Looking at the annual performance (CAGR) of 21.1% in the last 5 years of Citrix Systems, we see it is relatively larger, thus better in comparison to the benchmark SPY (11%)
  • During the last 3 years, the annual performance (CAGR) is 28.1%, which is larger, thus better than the value of 13.9% 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:
  • Compared with the benchmark SPY (13.2%) in the period of the last 5 years, the historical 30 days volatility of 26.3% of Citrix Systems is larger, thus worse.
  • During the last 3 years, the volatility is 24.4%, which is greater, thus worse than the value of 12.4% from the benchmark.

DownVol:

'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:
  • Looking at the downside volatility of 25.6% in the last 5 years of Citrix Systems, we see it is relatively higher, thus worse in comparison to the benchmark SPY (14.6%)
  • During the last 3 years, the downside risk is 22%, which is greater, thus worse than the value of 14% 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.'

Applying this definition to our asset in some examples:
  • The ratio of return and volatility (Sharpe) over 5 years of Citrix Systems is 0.7, which is larger, thus better compared to the benchmark SPY (0.64) in the same period.
  • Looking at ratio of return and volatility (Sharpe) in of 1.05 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.92).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.58) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.72 of Citrix Systems is higher, thus better.
  • During the last 3 years, the downside risk / excess return profile is 1.17, which is larger, thus better than the value of 0.81 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.'

Using this definition on our asset we see for example:
  • The Ulcer Ratio over 5 years of Citrix Systems is 7.89 , which is higher, thus better compared to the benchmark SPY (3.95 ) in the same period.
  • During the last 3 years, the Downside risk index is 5.71 , which is greater, thus better than the value of 4 from the benchmark.

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:
  • The maximum DrawDown over 5 years of Citrix Systems is -26 days, which is lower, thus worse compared to the benchmark SPY (-19.3 days) in the same period.
  • Compared with SPY (-19.3 days) in the period of the last 3 years, the maximum drop from peak to valley of -14.8 days is greater, 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'

Which means for our asset as example:
  • Compared with the benchmark SPY (187 days) in the period of the last 5 years, the maximum days below previous high of 190 days of Citrix Systems is larger, thus worse.
  • Compared with SPY (131 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 142 days is greater, thus worse.

AveDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. 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 time in days below previous high water mark of 51 days in the last 5 years of Citrix Systems, we see it is relatively greater, thus worse in comparison to the benchmark SPY (39 days)
  • During the last 3 years, the average time in days below previous high water mark is 40 days, which is greater, thus worse than the value of 33 days from the benchmark.

Performance of Citrix Systems (YTD)

Historical returns have been extended using synthetic data.

Allocations of Citrix Systems
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Allocations

Returns of Citrix Systems (%)

  • "Year" returns in the table above are not equal to 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.