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:

'Total return is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

Applying this definition to our asset in some examples:
  • The total return, or performance over 5 years of KLA is 372.8%, which is greater, thus better compared to the benchmark SPY (122.7%) in the same period.
  • Compared with SPY (65.3%) in the period of the last 3 years, the total return, or performance of 216.1% is greater, 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:
  • Compared with the benchmark SPY (17.4%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 36.5% of KLA is greater, thus better.
  • Looking at annual return (CAGR) in of 46.8% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (18.2%).

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:
  • The volatility over 5 years of KLA is 40%, which is higher, thus worse compared to the benchmark SPY (18.7%) in the same period.
  • Looking at historical 30 days volatility in of 46.3% in the period of the last 3 years, we see it is relatively greater, 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 risk of 27.2% of KLA is higher, thus worse.
  • During the last 3 years, the downside deviation is 30.8%, which is higher, thus worse than the value of 16.3% from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.8) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.85 of KLA is greater, thus better.
  • Looking at ratio of return and volatility (Sharpe) in of 0.96 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.7).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (1.1) in the period of the last 5 years, the downside risk / excess return profile of 1.25 of KLA is higher, thus better.
  • Compared with SPY (0.96) in the period of the last 3 years, the downside risk / excess return profile of 1.44 is larger, thus better.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (5.58 ) in the period of the last 5 years, the Ulcer Index of 10 of KLA is higher, 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 (6.83 ).

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:
  • Looking at the maximum reduction from previous high of -37.2 days in the last 5 years of KLA, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-33.7 days)
  • Compared with SPY (-33.7 days) in the period of the last 3 years, the maximum drop from peak to valley of -37.2 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.'

Using this definition on our asset we see for example:
  • The maximum time in days below previous high water mark over 5 years of KLA is 253 days, which is larger, thus worse compared to the benchmark SPY (139 days) in the same period.
  • During the last 3 years, the maximum time in days below previous high water mark is 129 days, which is lower, thus better than the value of 139 days from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • The average days under water over 5 years of KLA is 48 days, which is greater, thus worse compared to the benchmark SPY (33 days) in the same period.
  • Compared with SPY (35 days) in the period of the last 3 years, the average days under water of 32 days is smaller, thus better.

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.