Description

KLA Corporation designs, manufactures, and markets process control and yield management solutions for the semiconductor and related nanoelectronics industries worldwide. The company offers chip and wafer manufacturing products, including defect inspection and review systems, metrology solutions, in situ process monitoring products, computational lithography software, and data analytics systems for chip manufacturers to manage yield throughout the semiconductor fabrication process. It also provides reticle manufacturing products, such as reticle inspection, metrology, and data analytics systems for mask shops; and packaging manufacturing products comprising packaging process control on wafer, automated optical inspection, data analytics, and packaging process control after singulation. In addition, the company offers compound semiconductor, power device, light emitting diode, and microelectromechanical system manufacturing products; data storage media/head manufacturing products; general purpose/lab applications; and previous-generation KLA systems. Further, it provides wafer processing solutions; printed circuit boards, and display and inspection components; products for the deposition of thin film coating of materials on crystalline silicon photovoltaic wafers; and other services. The company offers its products and services for use by various bare wafer, integrated circuit, reticle, and hard disk drive manufacturers. The company was formerly known as KLA-Tencor Corporation and changed its name to KLA Corporation in July 2019. KLA Corporation was founded in 1975 and is headquartered in Milpitas, 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (125.9%) in the period of the last 5 years, the total return, or increase in value of 434.1% of KLA is greater, thus better.
  • Compared with SPY (44.4%) in the period of the last 3 years, the total return of 184.2% is higher, 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:
  • The compounded annual growth rate (CAGR) over 5 years of KLA is 39.8%, which is higher, thus better compared to the benchmark SPY (17.7%) in the same period.
  • During the last 3 years, the compounded annual growth rate (CAGR) is 41.6%, which is higher, thus better than the value of 13% 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:
  • Compared with the benchmark SPY (18.7%) in the period of the last 5 years, the volatility of 37.5% of KLA is greater, thus worse.
  • During the last 3 years, the volatility is 44.5%, which is higher, thus worse than the value of 22.8% from the benchmark.

DownVol:

'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:
  • Looking at the downside volatility of 25.4% in the last 5 years of KLA, we see it is relatively larger, thus worse in comparison to the benchmark SPY (13.6%)
  • During the last 3 years, the downside volatility is 29.7%, which is higher, thus worse than the value of 16.7% from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.81) in the period of the last 5 years, the Sharpe Ratio of 1 of KLA is larger, thus better.
  • Looking at risk / return profile (Sharpe) in of 0.88 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.46).

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.'

Applying this definition to our asset in some examples:
  • Looking at the ratio of annual return and downside deviation of 1.47 in the last 5 years of KLA, we see it is relatively greater, thus better in comparison to the benchmark SPY (1.12)
  • During the last 3 years, the ratio of annual return and downside deviation is 1.32, which is larger, thus better than the value of 0.63 from the benchmark.

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:
  • Compared with the benchmark SPY (5.59 ) in the period of the last 5 years, the Ulcer Ratio of 9.76 of KLA is greater, thus worse.
  • Looking at Ulcer Index in of 12 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (7.14 ).

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

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 -37.2 days of KLA is lower, thus worse.
  • Looking at maximum DrawDown in of -37.2 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 Maximum 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. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Applying this definition to our asset in some examples:
  • Looking at the maximum days under water of 253 days in the last 5 years of KLA, we see it is relatively larger, thus worse in comparison to the benchmark SPY (139 days)
  • Compared with SPY (139 days) in the period of the last 3 years, the maximum days under water of 253 days is greater, thus worse.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (33 days) in the period of the last 5 years, the average time in days below previous high water mark of 47 days of KLA is larger, thus worse.
  • Compared with SPY (45 days) in the period of the last 3 years, the average time in days below previous high water mark of 62 days is greater, thus worse.

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 KLA 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.