Description

Analog Devices, Inc. designs, manufactures, and markets integrated circuits (ICs), algorithms, software, and subsystems that leverage analog, mixed-signal, and digital signal processing technologies. The company offers data converter products, which translate real-world analog signals into digital data, as well as translates digital data into analog signals; high-performance amplifiers to condition analog signals; and radio frequency and microwave ICs to support cellular infrastructure. It also provides power management and reference products for power management and conversion applications in the automotive, communications, industrial, and high-end consumer markets; and microelectromechanical systems technology solutions, including accelerometers used to sense acceleration, gyroscopes to sense rotation, and inertial measurement units to sense multiple degrees of freedom. In addition, the company offers isolators for various applications, such as universal serial bus isolation in patient monitors; and smart metering and satellite applications, as well as digital signal processing products for high-speed numeric calculations. The company serves clients in industrial, automotive, consumer, and communications markets through a direct sales force, third-party distributors, and independent sales representatives in the United States, the rest of North and South America, Europe, Japan, China, and the rest of Asia, as well as through its Website. It has a strategic collaboration with Pinpoint Science Inc. to advance the development and manufacture of novel nanosensor diagnostics. Analog Devices, Inc. was founded in 1965 and is headquartered in Norwood, Massachusetts.

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.'

Applying this definition to our asset in some examples:
  • Looking at the total return of 112.8% in the last 5 years of Analog Devices, we see it is relatively larger, thus better in comparison to the benchmark SPY (96.7%)
  • Compared with SPY (83.7%) in the period of the last 3 years, the total return, or increase in value of 75.9% is lower, 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:
  • Looking at the compounded annual growth rate (CAGR) of 16.4% in the last 5 years of Analog Devices, we see it is relatively greater, thus better in comparison to the benchmark SPY (14.6%)
  • Compared with SPY (22.6%) in the period of the last 3 years, the annual return (CAGR) of 20.9% is smaller, thus worse.

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.'

Which means for our asset as example:
  • The volatility over 5 years of Analog Devices is 32.6%, which is greater, thus worse compared to the benchmark SPY (17.1%) in the same period.
  • During the last 3 years, the volatility is 32.8%, which is larger, thus worse than the value of 15.4% from the benchmark.

DownVol:

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

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside deviation of 21.8% of Analog Devices is higher, thus worse.
  • Compared with SPY (10.2%) in the period of the last 3 years, the downside risk of 21.5% is higher, 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.'

Applying this definition to our asset in some examples:
  • The Sharpe Ratio over 5 years of Analog Devices is 0.43, which is lower, thus worse compared to the benchmark SPY (0.7) in the same period.
  • Looking at risk / return profile (Sharpe) in of 0.56 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.31).

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:
  • Compared with the benchmark SPY (1.02) in the period of the last 5 years, the downside risk / excess return profile of 0.64 of Analog Devices is lower, thus worse.
  • Compared with SPY (1.97) in the period of the last 3 years, the excess return divided by the downside deviation of 0.86 is lower, thus worse.

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.'

Applying this definition to our asset in some examples:
  • The Downside risk index over 5 years of Analog Devices is 10 , which is larger, thus worse compared to the benchmark SPY (8.42 ) in the same period.
  • Compared with SPY (3.52 ) in the period of the last 3 years, the Downside risk index of 8.72 is greater, thus worse.

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -32.2 days of Analog Devices is lower, thus worse.
  • Looking at maximum drop from peak to valley in of -32.2 days in the period of the last 3 years, we see it is relatively smaller, 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:
  • The maximum days under water over 5 years of Analog Devices is 309 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • Looking at maximum days under water in of 148 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:
  • Compared with the benchmark SPY (120 days) in the period of the last 5 years, the average time in days below previous high water mark of 66 days of Analog Devices is smaller, thus better.
  • Looking at average time in days below previous high water mark in of 39 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (21 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 Analog Devices are hypothetical and do not account for slippage, fees or taxes.