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.'

Applying this definition to our asset in some examples:
  • Looking at the total return, or increase in value of 467% in the last 5 years of KLA, we see it is relatively greater, thus better in comparison to the benchmark SPY (82.2%)
  • During the last 3 years, the total return, or performance is 394.8%, which is higher, thus better than the value of 78.3% 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (12.8%) in the period of the last 5 years, the annual return (CAGR) of 41.6% of KLA is larger, thus better.
  • During the last 3 years, the annual return (CAGR) is 70.8%, which is larger, thus better than the value of 21.3% from the benchmark.

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:
  • Looking at the volatility of 42.7% in the last 5 years of KLA, we see it is relatively greater, thus worse in comparison to the benchmark SPY (17.1%)
  • Looking at 30 days standard deviation in of 42.9% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (15.2%).

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.'

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 29.2% of KLA is larger, thus worse.
  • Compared with SPY (10.1%) in the period of the last 3 years, the downside volatility of 29.3% is larger, 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:
  • The ratio of return and volatility (Sharpe) over 5 years of KLA is 0.92, which is greater, thus better compared to the benchmark SPY (0.6) in the same period.
  • Looking at Sharpe Ratio in of 1.59 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (1.24).

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.'

Using this definition on our asset we see for example:
  • Looking at the excess return divided by the downside deviation of 1.34 in the last 5 years of KLA, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.87)
  • Compared with SPY (1.86) in the period of the last 3 years, the downside risk / excess return profile of 2.33 is larger, thus better.

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Which means for our asset as example:
  • The Downside risk index over 5 years of KLA is 14 , which is higher, thus worse compared to the benchmark SPY (8.45 ) in the same period.
  • Compared with SPY (3.5 ) in the period of the last 3 years, the Ulcer Ratio of 12 is greater, 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.'

Using this definition on our asset we see for 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 -40.3 days of KLA is lower, thus worse.
  • Looking at maximum reduction from previous high in of -34.9 days in the period of the last 3 years, we see it is relatively smaller, 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:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 341 days of KLA is lower, thus better.
  • Compared with SPY (87 days) in the period of the last 3 years, the maximum days below previous high of 233 days is greater, thus worse.

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:
  • Looking at the average days below previous high of 82 days in the last 5 years of KLA, we see it is relatively lower, thus better in comparison to the benchmark SPY (119 days)
  • Compared with SPY (20 days) in the period of the last 3 years, the average days under water of 50 days is greater, thus worse.

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 KLA are hypothetical and do not account for slippage, fees or taxes.