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:

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Which means for our asset as example:
  • Compared with the benchmark SPY (93.5%) in the period of the last 5 years, the total return, or increase in value of 94% of Synopsys is higher, thus better.
  • Compared with SPY (86.9%) in the period of the last 3 years, the total return, or performance of 8.3% is smaller, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (14.2%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 14.2% of Synopsys is larger, thus better.
  • Looking at annual performance (CAGR) in of 2.7% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (23.3%).

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:
  • Looking at the volatility of 40.7% in the last 5 years of Synopsys, we see it is relatively greater, thus worse in comparison to the benchmark SPY (17%)
  • During the last 3 years, the historical 30 days volatility is 43.4%, which is larger, thus worse than the value of 15.1% from the benchmark.

DownVol:

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

Which means for our asset as example:
  • Looking at the downside deviation of 29.7% in the last 5 years of Synopsys, we see it is relatively higher, thus worse in comparison to the benchmark SPY (11.7%)
  • Compared with SPY (10.1%) in the period of the last 3 years, the downside risk of 33.4% is larger, thus worse.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.69) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.29 of Synopsys is smaller, thus worse.
  • During the last 3 years, the risk / return profile (Sharpe) is 0, which is lower, thus worse than the value of 1.38 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.'

Which means for our asset as example:
  • The excess return divided by the downside deviation over 5 years of Synopsys is 0.39, which is lower, thus worse compared to the benchmark SPY (1) in the same period.
  • Looking at ratio of annual return and downside deviation in of 0.01 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (2.07).

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Using this definition on our asset we see for example:
  • The Ulcer Ratio over 5 years of Synopsys is 17 , which is higher, thus worse compared to the benchmark SPY (8.45 ) in the same period.
  • During the last 3 years, the Ulcer Index is 19 , which is greater, thus worse than the value of 3.5 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 reduction from previous high over 5 years of Synopsys is -41 days, which is smaller, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • Looking at maximum DrawDown in of -41 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-18.8 days).

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'

Using this definition on our asset we see for example:
  • Looking at the maximum days under water of 265 days in the last 5 years of Synopsys, we see it is relatively lower, thus better in comparison to the benchmark SPY (488 days)
  • Looking at maximum days under water in of 265 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (87 days).

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.'

Applying this definition to our asset in some examples:
  • Looking at the average days below previous high of 80 days in the last 5 years of Synopsys, we see it is relatively smaller, thus better in comparison to the benchmark SPY (120 days)
  • Looking at average days under water in of 85 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (20 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.