Description

Applied Materials, Inc. provides manufacturing equipment, services, and software to the semiconductor, display, and related industries. It operates through three segments: Semiconductor Systems, Applied Global Services, and Display and Adjacent Markets. The Semiconductor Systems segment develops, manufactures, and sells various manufacturing equipment that is used to fabricate semiconductor chips or integrated circuits. This segment also offers various technologies, including epitaxy, ion implantation, oxidation and nitridation, rapid thermal processing, physical vapor deposition, chemical vapor deposition, chemical mechanical planarization, electrochemical deposition, atomic layer deposition, etching, and selective removal, as well as metrology and inspection tools. The Applied Global Services segment provides integrated solutions to optimize equipment and fab performance and productivity comprising spares, upgrades, services, remanufactured earlier generation equipment, and factory automation software for semiconductor, display, and other products. The Display and Adjacent Markets segment offers products for manufacturing liquid crystal displays; organic light-emitting diodes; and other display technologies for TVs, monitors, laptops, personal computers, electronic tablets, smart phones, and other consumer-oriented devices, as well as equipment for flexible substrates. The company serves manufacturers of semiconductor wafers and chips, liquid crystal and organic light-emitting diode displays, and other electronic devices. It operates in the United States, China, Korea, Taiwan, Japan, Southeast Asia, and Europe. Applied Materials, Inc. was founded in 1967 and is headquartered in Santa Clara, 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.'

Applying this definition to our asset in some examples:
  • Looking at the total return, or performance of 215% in the last 5 years of Applied Materials, we see it is relatively higher, thus better in comparison to the benchmark SPY (81.7%)
  • Compared with SPY (89.3%) in the period of the last 3 years, the total return, or performance of 209.1% is greater, thus better.

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.'

Applying this definition to our asset in some examples:
  • Looking at the annual return (CAGR) of 25.9% in the last 5 years of Applied Materials, we see it is relatively greater, thus better in comparison to the benchmark SPY (12.8%)
  • Compared with SPY (23.9%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 46% is larger, 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (17.1%) in the period of the last 5 years, the 30 days standard deviation of 47.4% of Applied Materials is larger, thus worse.
  • Looking at 30 days standard deviation in of 49.5% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (15.2%).

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 (11.8%) in the period of the last 5 years, the downside volatility of 32.3% of Applied Materials is larger, thus worse.
  • During the last 3 years, the downside risk is 33.6%, which is greater, thus worse than the value of 10.1% 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:
  • Looking at the Sharpe Ratio of 0.49 in the last 5 years of Applied Materials, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.6)
  • Looking at risk / return profile (Sharpe) in of 0.88 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.4).

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.'

Using this definition on our asset we see for example:
  • Looking at the downside risk / excess return profile of 0.72 in the last 5 years of Applied Materials, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.87)
  • Compared with SPY (2.11) in the period of the last 3 years, the ratio of annual return and downside deviation of 1.3 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.'

Applying this definition to our asset in some examples:
  • Looking at the Ulcer Index of 26 in the last 5 years of Applied Materials, we see it is relatively greater, thus worse in comparison to the benchmark SPY (8.45 )
  • Compared with SPY (3.2 ) in the period of the last 3 years, the Ulcer Index of 23 is higher, 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:
  • Looking at the maximum DrawDown of -55.1 days in the last 5 years of Applied Materials, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-24.5 days)
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum reduction from previous high of -49.9 days is smaller, thus worse.

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.'

Applying this definition to our asset in some examples:
  • The maximum time in days below previous high water mark over 5 years of Applied Materials is 487 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 348 days, which is greater, 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.'

Using this definition on our asset we see for example:
  • Looking at the average days below previous high of 158 days in the last 5 years of Applied Materials, we see it is relatively greater, thus worse in comparison to the benchmark SPY (118 days)
  • Looking at average days below previous high in of 99 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (17 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 Applied Materials are hypothetical and do not account for slippage, fees or taxes.