Description

Synopsys, Inc. provides electronic design automation software products used to design and test integrated circuits. It offers Fusion Design Platform, a digital design implementation solution; Verification Continuum Platform that provides virtual prototyping, static and formal verification, simulation, emulation, field-programmable gate array (FPGA)-based prototyping, and debug solutions; and FPGA design products that are programmed to perform specific functions. The company also offers intellectual property (IP) solutions for USB, PCI Express, DDR, Ethernet, SATA, MIPI, HDMI, and Bluetooth low energy applications; analog IP, including data converters and audio codecs; and system-on-chip infrastructure IP, datapath and building block IP, and verification IP products, as well as mathematical and floating point components, and ARM AMBA interconnect fabric and peripherals. In addition, it provides logic libraries and embedded memories; configurable processor cores and application-specific instruction-set processor tools for embedded applications; IP subsystems for audio, sensor, and data fusion functionality; and security IP solutions. Further, the company offers Platform Architect tools for SoC architecture analysis and optimization; virtual prototyping solutions; and HAPS FPGA-based prototyping systems, as well as a series of tools used in the design of optical systems and photonic devices. Additionally, it provides security testing, managed services, programs and professional services, and training that enable its customers to detect and remediate security vulnerabilities, and defects in the software development lifecycle; manufacturing solutions; and professional and other services. The company was founded in 1986 and is headquartered in Mountain View, 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.'

Which means for our asset as example:
  • The total return, or performance over 5 years of Synopsys is 291.8%, which is greater, thus better compared to the benchmark SPY (94.2%) in the same period.
  • Looking at total return, or performance in of 89% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (27.9%).

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 (14.2%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 31.5% of Synopsys is larger, thus better.
  • Compared with SPY (8.6%) in the period of the last 3 years, the annual return (CAGR) of 23.7% is greater, thus better.

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:
  • Looking at the 30 days standard deviation of 35.4% in the last 5 years of Synopsys, we see it is relatively higher, thus worse in comparison to the benchmark SPY (20.9%)
  • Looking at 30 days standard deviation in of 34.3% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (17.3%).

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.'

Applying this definition to our asset in some examples:
  • The downside deviation over 5 years of Synopsys is 23.7%, which is larger, thus worse compared to the benchmark SPY (15%) in the same period.
  • Looking at downside deviation in of 22.4% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (12.1%).

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:
  • The risk / return profile (Sharpe) over 5 years of Synopsys is 0.82, which is greater, thus better compared to the benchmark SPY (0.56) in the same period.
  • During the last 3 years, the Sharpe Ratio is 0.62, which is greater, thus better than the value of 0.35 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:
  • The ratio of annual return and downside deviation over 5 years of Synopsys is 1.22, which is higher, thus better compared to the benchmark SPY (0.78) in the same period.
  • During the last 3 years, the ratio of annual return and downside deviation is 0.95, which is higher, thus better than the value of 0.5 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.'

Which means for our asset as example:
  • The Ulcer Ratio over 5 years of Synopsys is 11 , which is higher, thus worse compared to the benchmark SPY (9.32 ) in the same period.
  • During the last 3 years, the Ulcer Ratio is 12 , 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum DrawDown of -34.3 days of Synopsys is lower, thus worse.
  • During the last 3 years, the maximum reduction from previous high is -30.6 days, which is smaller, thus worse than the value of -24.5 days from the benchmark.

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:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 190 days of Synopsys is lower, thus better.
  • During the last 3 years, the maximum days under water is 190 days, which is lower, thus better than the value of 488 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.'

Using this definition on our asset we see for example:
  • Looking at the average days under water of 45 days in the last 5 years of Synopsys, we see it is relatively lower, thus better in comparison to the benchmark SPY (123 days)
  • Looking at average days under water in of 53 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (180 days).

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 Synopsys are hypothetical and do not account for slippage, fees or taxes.