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)

What do these metrics mean? [Read More] [Hide]

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:
  • The total return, or performance over 5 years of KLA is 452.5%, which is larger, thus better compared to the benchmark SPY (82.3%) in the same period.
  • During the last 3 years, the total return is 264.9%, which is higher, thus better than the value of 69.4% 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (12.8%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 40.9% of KLA is greater, thus better.
  • Compared with SPY (19.3%) in the period of the last 3 years, the annual return (CAGR) of 54.2% 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.'

Using this definition on our asset we see for example:
  • Looking at the historical 30 days volatility of 46.1% in the last 5 years of KLA, we see it is relatively greater, thus worse in comparison to the benchmark SPY (17.2%)
  • Compared with SPY (15.3%) in the period of the last 3 years, the volatility of 48.2% is larger, thus worse.

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:
  • The downside risk over 5 years of KLA is 31.6%, which is greater, thus worse compared to the benchmark SPY (11.8%) in the same period.
  • Compared with SPY (10.3%) in the period of the last 3 years, the downside deviation of 33.4% is larger, thus worse.

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:
  • The ratio of return and volatility (Sharpe) over 5 years of KLA is 0.83, which is larger, thus better compared to the benchmark SPY (0.6) in the same period.
  • During the last 3 years, the Sharpe Ratio is 1.07, which is lower, thus worse than the value of 1.09 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.87) in the period of the last 5 years, the excess return divided by the downside deviation of 1.22 of KLA is higher, thus better.
  • During the last 3 years, the ratio of annual return and downside deviation is 1.55, which is lower, thus worse than the value of 1.62 from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • The Ulcer Index over 5 years of KLA is 15 , which is higher, thus worse compared to the benchmark SPY (8.45 ) in the same period.
  • Compared with SPY (3.53 ) in the period of the last 3 years, the Ulcer Ratio of 13 is larger, 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.'

Applying this definition to our asset in some examples:
  • Looking at the maximum reduction from previous high of -43.6 days in the last 5 years of KLA, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-24.5 days)
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum drop from peak to valley of -43.6 days is lower, thus worse.

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 time in days below previous high water mark of 341 days in the last 5 years of KLA, we see it is relatively lower, thus better in comparison to the benchmark SPY (488 days)
  • During the last 3 years, the maximum days below previous high is 233 days, which is higher, thus worse than the value of 87 days from the benchmark.

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 (119 days) in the period of the last 5 years, the average days under water of 82 days of KLA is lower, thus better.
  • During the last 3 years, the average days below previous high is 50 days, which is higher, thus worse than the value of 21 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 KLA are hypothetical and do not account for slippage, fees or taxes.