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:
  • Compared with the benchmark SPY (62.6%) in the period of the last 5 years, the total return, or increase in value of 250% of Xilinx is larger, thus better.
  • During the last 3 years, the total return, or increase in value is 68.3%, which is greater, thus better than the value of 32.1% from the benchmark.

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Which means for our asset as example:
  • Compared with the benchmark SPY (10.2%) in the period of the last 5 years, the annual performance (CAGR) of 28.5% of Xilinx is larger, thus better.
  • During the last 3 years, the annual return (CAGR) is 18.9%, which is larger, thus better than the value of 9.7% 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:
  • The volatility over 5 years of Xilinx is 40%, which is greater, thus worse compared to the benchmark SPY (21.5%) in the same period.
  • Compared with SPY (24.8%) in the period of the last 3 years, the historical 30 days volatility of 43.9% is higher, thus worse.

DownVol:

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

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 higher, thus worse in comparison to the benchmark SPY (15.6%)
  • Looking at downside volatility in of 30.2% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (17.9%).

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:
  • Compared with the benchmark SPY (0.36) in the period of the last 5 years, the Sharpe Ratio of 0.65 of Xilinx is higher, thus better.
  • During the last 3 years, the risk / return profile (Sharpe) is 0.37, which is greater, thus better than the value of 0.29 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.5) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.98 of Xilinx is larger, thus better.
  • During the last 3 years, the downside risk / excess return profile is 0.54, which is higher, thus better than the value of 0.4 from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (8.52 ) in the period of the last 5 years, the Downside risk index of 18 of Xilinx is higher, thus worse.
  • During the last 3 years, the Ulcer Index is 22 , which is greater, thus worse than the value of 10 from the benchmark.

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:
  • The maximum drop from peak to valley over 5 years of Xilinx is -49.9 days, which is smaller, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
  • Compared with SPY (-33.7 days) in the period of the last 3 years, the maximum DrawDown of -49.9 days is smaller, thus worse.

MaxDuration:

'The Maximum 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. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Which means for our asset as example:
  • Looking at the maximum days below previous high of 403 days in the last 5 years of Xilinx, we see it is relatively higher, thus worse in comparison to the benchmark SPY (235 days)
  • Compared with SPY (235 days) in the period of the last 3 years, the maximum days under water of 403 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.'

Applying this definition to our asset in some examples:
  • The average days below previous high over 5 years of Xilinx is 95 days, which is higher, thus worse compared to the benchmark SPY (55 days) in the same period.
  • During the last 3 years, the average time in days below previous high water mark is 138 days, which is larger, thus worse than the value of 59 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.