Description

Lam Research Corporation designs, manufactures, markets, refurbishes, and services semiconductor processing equipment used in the fabrication of integrated circuits in the United States, China, Europe, Japan, Korea, Taiwan, and the southeast Asia. The company offers ALTUS systems to deposit conformal films for tungsten metallization applications; SABRE electrochemical deposition products for copper damascene manufacturing; SOLA ultraviolet thermal processing products for film treatments; and VECTOR plasma-enhanced CVD ALD products. It also provides SPEED gapfill high-density plasma chemical vapor deposition (HDP-CVD) products; and Striker single-wafer atomic layer deposition (ALD) products that provide multiple dielectric film solutions. In addition, the company offers Flex for dielectric etch applications; Kiyo for conductor etch applications; Syndion for through-silicon via etch applications; and Versys metal products for metal etch processes. Further, it provides Coronus bevel clean products to enhance die yield; Da Vinci, DV-Prime, EOS, and SP to address a range of wafer cleaning applications; and Metryx mass metrology systems for high precision in-line mass measurement in semiconductor wafer manufacturing. Lam Research Corporation was founded in 1980 and is headquartered in Fremont, California.

Statistics (YTD)

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

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.'

Using this definition on our asset we see for example:
  • The total return over 5 years of Lam Research is 524.1%, which is larger, thus better compared to the benchmark SPY (129.1%) in the same period.
  • Compared with SPY (71.3%) in the period of the last 3 years, the total return, or increase in value of 316.9% is larger, thus better.

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

Which means for our asset as example:
  • Looking at the annual performance (CAGR) of 44.3% in the last 5 years of Lam Research, we see it is relatively larger, thus better in comparison to the benchmark SPY (18.1%)
  • Compared with SPY (19.7%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 61% is larger, thus better.

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Which means for our asset as example:
  • The 30 days standard deviation over 5 years of Lam Research is 43.5%, which is larger, thus worse compared to the benchmark SPY (18.7%) in the same period.
  • Looking at volatility in of 49.4% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (22.5%).

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 (13.6%) in the period of the last 5 years, the downside deviation of 29.1% of Lam Research is larger, thus worse.
  • Compared with SPY (16.3%) in the period of the last 3 years, the downside risk of 32.6% is higher, thus worse.

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Applying this definition to our asset in some examples:
  • Looking at the risk / return profile (Sharpe) of 0.96 in the last 5 years of Lam Research, we see it is relatively greater, thus better in comparison to the benchmark SPY (0.83)
  • Looking at ratio of return and volatility (Sharpe) in of 1.18 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.76).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (1.15) in the period of the last 5 years, the downside risk / excess return profile of 1.43 of Lam Research is greater, thus better.
  • During the last 3 years, the ratio of annual return and downside deviation is 1.79, which is higher, thus better than the value of 1.05 from the benchmark.

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:
  • Compared with the benchmark SPY (5.59 ) in the period of the last 5 years, the Ulcer Ratio of 15 of Lam Research is larger, thus worse.
  • Looking at Ulcer Index in of 11 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (6.38 ).

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Which means for our asset as example:
  • The maximum reduction from previous high over 5 years of Lam Research is -45 days, which is lower, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
  • Looking at maximum drop from peak to valley in of -45 days in the period of the last 3 years, we see it is relatively lower, thus worse 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'

Which means for our asset as example:
  • Looking at the maximum days below previous high of 373 days in the last 5 years of Lam Research, we see it is relatively greater, thus worse in comparison to the benchmark SPY (139 days)
  • Looking at maximum time in days below previous high water mark in of 133 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (119 days).

AveDuration:

'The Average Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. 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.'

Which means for our asset as example:
  • The average time in days below previous high water mark over 5 years of Lam Research is 83 days, which is higher, thus worse compared to the benchmark SPY (32 days) in the same period.
  • During the last 3 years, the average time in days below previous high water mark is 31 days, which is higher, thus worse than the value of 25 days from the benchmark.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations
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Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of Lam Research 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.