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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (88.1%) in the period of the last 5 years, the total return, or performance of 430.2% of Lam Research is higher, thus better.
  • During the last 3 years, the total return is 55%, which is higher, thus better than the value of 26.1% from the benchmark.

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 return (CAGR) of 39.7% in the last 5 years of Lam Research, we see it is relatively greater, thus better in comparison to the benchmark SPY (13.5%)
  • During the last 3 years, the annual return (CAGR) is 15.8%, which is larger, thus better than the value of 8.1% from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Looking at the volatility of 47.3% in the last 5 years of Lam Research, we see it is relatively higher, thus worse in comparison to the benchmark SPY (20.9%)
  • During the last 3 years, the 30 days standard deviation is 42.2%, which is greater, thus worse than the value of 17.3% 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.'

Using this definition on our asset we see for example:
  • Looking at the downside volatility of 31.7% in the last 5 years of Lam Research, we see it is relatively larger, thus worse in comparison to the benchmark SPY (15%)
  • Compared with SPY (12.1%) in the period of the last 3 years, the downside volatility of 28.6% is greater, thus worse.

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.52) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.79 of Lam Research is greater, thus better.
  • During the last 3 years, the Sharpe Ratio is 0.31, which is lower, thus worse than the value of 0.32 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.'

Using this definition on our asset we see for example:
  • Looking at the ratio of annual return and downside deviation of 1.17 in the last 5 years of Lam Research, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.73)
  • Looking at downside risk / excess return profile in of 0.46 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.46).

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.'

Which means for our asset as example:
  • Looking at the Ulcer Ratio of 20 in the last 5 years of Lam Research, we see it is relatively higher, thus worse in comparison to the benchmark SPY (9.33 )
  • During the last 3 years, the Ulcer Index is 24 , which is higher, thus worse than the value of 10 from the benchmark.

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:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum drop from peak to valley of -56.4 days of Lam Research is smaller, thus worse.
  • Looking at maximum reduction from previous high in of -56.4 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-24.5 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:
  • Looking at the maximum time in days below previous high water mark of 383 days in the last 5 years of Lam Research, we see it is relatively lower, thus better in comparison to the benchmark SPY (488 days)
  • Looking at maximum days under water in of 383 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (488 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:
  • Compared with the benchmark SPY (123 days) in the period of the last 5 years, the average days below previous high of 88 days of Lam Research is lower, thus better.
  • During the last 3 years, the average time in days below previous high water mark is 118 days, which is lower, thus better than the value of 179 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 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.