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)

What do these metrics mean? [Read More] [Hide]

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 (110.1%) in the period of the last 5 years, the total return of 109.4% of Analog Devices is lower, thus worse.
  • Looking at total return, or performance in of 73.7% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (86.3%).

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 annual performance (CAGR) of 16% in the last 5 years of Analog Devices, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (16.1%)
  • Looking at annual return (CAGR) in of 20.3% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (23.1%).

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:
  • Compared with the benchmark SPY (17.2%) in the period of the last 5 years, the volatility of 32.5% of Analog Devices is larger, thus worse.
  • Compared with SPY (16.1%) in the period of the last 3 years, the historical 30 days volatility of 33.4% is greater, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside risk of 21.8% of Analog Devices is higher, thus worse.
  • During the last 3 years, the downside risk is 21.6%, which is larger, thus worse than the value of 10.5% 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.'

Which means for our asset as example:
  • The ratio of return and volatility (Sharpe) over 5 years of Analog Devices is 0.42, which is lower, thus worse compared to the benchmark SPY (0.79) in the same period.
  • During the last 3 years, the ratio of return and volatility (Sharpe) is 0.53, which is smaller, thus worse than the value of 1.28 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.'

Which means for our asset as example:
  • The excess return divided by the downside deviation over 5 years of Analog Devices is 0.62, which is lower, thus worse compared to the benchmark SPY (1.15) in the same period.
  • Compared with SPY (1.96) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.82 is lower, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (8.42 ) in the period of the last 5 years, the Downside risk index of 10 of Analog Devices is higher, thus worse.
  • Compared with SPY (3.62 ) in the period of the last 3 years, the Ulcer Ratio of 8.67 is larger, 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum drop from peak to valley 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 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) in days.'

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.
  • During the last 3 years, the maximum time in days below previous high water mark is 148 days, which is larger, thus worse than the value of 87 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.'

Applying this definition to our asset in some examples:
  • Looking at the average time in days below previous high water mark of 65 days in the last 5 years of Analog Devices, we see it is relatively lower, thus better in comparison to the benchmark SPY (120 days)
  • During the last 3 years, the average days under water is 38 days, which is greater, thus worse than the value of 21 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 and do not account for slippage, fees or taxes.