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 over 5 years of Xilinx is 250%, which is higher, thus better compared to the benchmark SPY (107.8%) in the same period.
  • Looking at total return, or increase in value in of 68.3% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (34.1%).

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.'

Which means for our asset as example:
  • Looking at the compounded annual growth rate (CAGR) of 28.5% in the last 5 years of Xilinx, we see it is relatively larger, thus better in comparison to the benchmark SPY (15.8%)
  • Looking at compounded annual growth rate (CAGR) in of 18.9% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (10.3%).

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (18%) in the period of the last 5 years, the 30 days standard deviation of 40% of Xilinx is greater, thus worse.
  • During the last 3 years, the volatility is 43.9%, which is greater, thus worse than the value of 18.8% 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 26.5% in the last 5 years of Xilinx, we see it is relatively higher, thus worse in comparison to the benchmark SPY (12.5%)
  • During the last 3 years, the downside risk is 30.2%, which is larger, thus worse than the value of 13% from the benchmark.

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Applying this definition to our asset in some examples:
  • Looking at the risk / return profile (Sharpe) of 0.65 in the last 5 years of Xilinx, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.74)
  • Looking at ratio of return and volatility (Sharpe) in of 0.37 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.41).

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 (1.06) in the period of the last 5 years, the excess return divided by the downside deviation of 0.98 of Xilinx is lower, thus worse.
  • Compared with SPY (0.6) in the period of the last 3 years, the downside risk / excess return profile of 0.54 is smaller, thus worse.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (8.45 ) in the period of the last 5 years, the Downside risk index of 18 of Xilinx is greater, thus worse.
  • Compared with SPY (5.73 ) in the period of the last 3 years, the Ulcer Ratio of 22 is larger, thus worse.

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Applying this definition to our asset in some examples:
  • Looking at the maximum DrawDown of -49.9 days in the last 5 years of Xilinx, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-24.5 days)
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum drop from peak to valley of -49.9 days is lower, thus worse.

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'

Applying this definition to our asset in some examples:
  • The maximum time in days below previous high water mark over 5 years of Xilinx is 403 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • During the last 3 years, the maximum days below previous high is 403 days, which is higher, thus worse than the value of 199 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 time in days below previous high water mark over 5 years of Xilinx is 95 days, which is lower, thus better compared to the benchmark SPY (118 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 45 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 and do not account for slippage, fees or taxes.