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, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Which means for our asset as example:
  • Looking at the total return, or performance of 509.5% in the last 5 years of KLA, we see it is relatively greater, thus better in comparison to the benchmark SPY (92.8%)
  • Compared with SPY (88.1%) in the period of the last 3 years, the total return, or performance of 334.9% 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.'

Applying this definition to our asset in some examples:
  • Looking at the annual return (CAGR) of 43.8% in the last 5 years of KLA, we see it is relatively higher, thus better in comparison to the benchmark SPY (14.1%)
  • Compared with SPY (23.6%) in the period of the last 3 years, the annual performance (CAGR) of 63.8% is higher, thus better.

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.'

Which means for our asset as example:
  • The volatility over 5 years of KLA is 43%, which is higher, thus worse compared to the benchmark SPY (17%) in the same period.
  • Looking at historical 30 days volatility in of 43.1% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (15.1%).

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.'

Which means for our asset as example:
  • Looking at the downside risk of 29.2% in the last 5 years of KLA, we see it is relatively larger, thus worse in comparison to the benchmark SPY (11.7%)
  • During the last 3 years, the downside risk is 29.6%, which is larger, thus worse than the value of 10.1% from the benchmark.

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.68) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.96 of KLA is greater, thus better.
  • Looking at risk / return profile (Sharpe) in of 1.42 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (1.4).

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.99) in the period of the last 5 years, the ratio of annual return and downside deviation of 1.41 of KLA is greater, thus better.
  • During the last 3 years, the excess return divided by the downside deviation is 2.07, which is smaller, thus worse than the value of 2.1 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (8.45 ) in the period of the last 5 years, the Ulcer Ratio of 14 of KLA is higher, thus worse.
  • Compared with SPY (3.5 ) in the period of the last 3 years, the Downside risk index of 12 is greater, thus worse.

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.'

Applying this definition to our asset in some examples:
  • The maximum DrawDown over 5 years of KLA is -40.8 days, which is lower, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum DrawDown of -35.3 days is lower, 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). 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:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 341 days of KLA is lower, thus better.
  • Looking at maximum time in days below previous high water mark in of 233 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (87 days).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (120 days) in the period of the last 5 years, the average days under water of 83 days of KLA is smaller, thus better.
  • Compared with SPY (20 days) in the period of the last 3 years, the average days under water of 52 days is higher, 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.