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:

'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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (81.9%) in the period of the last 5 years, the total return of 114.4% of Analog Devices is higher, thus better.
  • During the last 3 years, the total return is 59.2%, which is higher, thus better than the value of 46.1% 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:
  • Looking at the compounded annual growth rate (CAGR) of 16.5% in the last 5 years of Analog Devices, we see it is relatively larger, thus better in comparison to the benchmark SPY (12.7%)
  • Compared with SPY (13.5%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 16.8% is higher, 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:
  • The volatility over 5 years of Analog Devices is 33.7%, which is larger, thus worse compared to the benchmark SPY (19.8%) in the same period.
  • During the last 3 years, the historical 30 days volatility is 38%, which is larger, thus worse than the value of 23% from the benchmark.

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:
  • Compared with the benchmark SPY (14.5%) in the period of the last 5 years, the downside deviation of 23.6% of Analog Devices is higher, thus worse.
  • During the last 3 years, the downside risk is 26.4%, which is greater, thus worse than the value of 16.8% 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.'

Using this definition on our asset we see for example:
  • The Sharpe Ratio over 5 years of Analog Devices is 0.41, which is smaller, thus worse compared to the benchmark SPY (0.52) in the same period.
  • During the last 3 years, the risk / return profile (Sharpe) is 0.38, which is lower, thus worse than the value of 0.48 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.'

Using this definition on our asset we see for example:
  • The excess return divided by the downside deviation over 5 years of Analog Devices is 0.59, which is lower, thus worse compared to the benchmark SPY (0.7) in the same period.
  • Looking at downside risk / excess return profile in of 0.54 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.65).

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:
  • The Ulcer Ratio over 5 years of Analog Devices is 8.88 , which is higher, thus worse compared to the benchmark SPY (6.08 ) in the same period.
  • During the last 3 years, the Ulcer Index is 9.36 , which is greater, thus worse than the value of 6.77 from the benchmark.

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.'

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 drop from peak to valley of -33.6 days of Analog Devices is higher, thus better.
  • Looking at maximum DrawDown in of -33.6 days in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (-33.7 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'

Applying this definition to our asset in some examples:
  • Looking at the maximum days under water of 163 days in the last 5 years of Analog Devices, we see it is relatively higher, thus worse in comparison to the benchmark SPY (139 days)
  • During the last 3 years, the maximum days under water is 143 days, which is larger, thus worse than the value of 119 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 time in days below previous high water mark of 43 days in the last 5 years of Analog Devices, we see it is relatively greater, thus worse in comparison to the benchmark SPY (35 days)
  • During the last 3 years, the average days below previous high is 39 days, which is larger, thus worse than the value of 27 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 Analog Devices 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.