Description

Xilinx, Inc. designs and develops programmable devices and associated technologies worldwide. The company offers integrated circuits (ICs) in the form of programmable logic devices (PLDs), such as programmable system on chips, and three dimensional ICs; adaptive compute acceleration platform; software design tools to program the PLDs; software development environments and embedded platforms; targeted reference designs; printed circuit boards; and intellectual property (IP) core licenses covering Ethernet, memory controllers, Interlaken, and peripheral component interconnect express interfaces, as well as domain-specific IP in the areas of embedded, digital signal processing and connectivity, and market-specific IP cores. It also offers development boards; development kits, including hardware, design tools, IP, and reference designs that are designed to streamline and accelerate the development of domain-specific and market-specific applications; and configuration products comprising one-time programmable and in-system programmable storage devices to configure field programmable gate arrays. In addition, it provides design, customer training, field engineering, and technical support services. The company offers its products to electronic equipment manufacturers in sub- markets, such as data center, wireless, wireline, aerospace and defense, test and measurement, industrial, scientific and medical, automotive, audio, video and broadcast, and consumer. It sells its products through a network of independent distributors; and through direct sales to original equipment manufacturers and electronic manufacturing service providers, as well as independent sales representatives. Xilinx, Inc. was founded in 1984 and is headquartered in San Jose, California.

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.'

Using this definition on our asset we see for example:
  • The total return, or performance over 5 years of Xilinx is 250%, which is larger, thus better compared to the benchmark SPY (75.6%) in the same period.
  • Looking at total return, or performance in of 68.3% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (40%).

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.'

Using this definition on our asset we see for example:
  • Looking at the annual return (CAGR) of 28.5% in the last 5 years of Xilinx, we see it is relatively higher, thus better in comparison to the benchmark SPY (11.9%)
  • Looking at annual performance (CAGR) in of 18.9% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (11.9%).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (20.3%) in the period of the last 5 years, the historical 30 days volatility of 40% of Xilinx is higher, thus worse.
  • Compared with SPY (23.6%) in the period of the last 3 years, the historical 30 days volatility of 43.9% is larger, thus worse.

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:
  • Looking at the downside risk of 26.5% in the last 5 years of Xilinx, we see it is relatively greater, thus worse in comparison to the benchmark SPY (14.9%)
  • During the last 3 years, the downside deviation is 30.2%, which is larger, thus worse than the value of 17.3% 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 0.65 in the last 5 years of Xilinx, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.46)
  • During the last 3 years, the Sharpe Ratio is 0.37, which is lower, thus worse than the value of 0.4 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Looking at the downside risk / excess return profile of 0.98 in the last 5 years of Xilinx, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.63)
  • Looking at ratio of annual return and downside deviation in of 0.54 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.54).

Ulcer:

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (6.62 ) in the period of the last 5 years, the Ulcer Ratio of 18 of Xilinx is greater, thus worse.
  • Looking at Ulcer Index in of 22 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (7.55 ).

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 reduction from previous high of -49.9 days of Xilinx is smaller, thus worse.
  • During the last 3 years, the maximum drop from peak to valley is -49.9 days, which is lower, thus worse than the value of -33.7 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) in days.'

Applying this definition to our asset in some examples:
  • Looking at the maximum days under water of 403 days in the last 5 years of Xilinx, we see it is relatively larger, thus worse in comparison to the benchmark SPY (139 days)
  • During the last 3 years, the maximum days below previous high is 403 days, which is larger, thus worse than the value of 120 days from the benchmark.

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:
  • The average time in days below previous high water mark over 5 years of Xilinx is 95 days, which is higher, thus worse compared to the benchmark SPY (37 days) in the same period.
  • During the last 3 years, the average days under water is 138 days, which is higher, thus worse than the value of 31 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 Xilinx 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.