Description

KLA Corporation - Common Stock

Statistics (YTD)

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

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 increase in value over 5 years of KLA is 351.7%, which is higher, thus better compared to the benchmark SPY (91.2%) in the same period.
  • Compared with SPY (41.5%) in the period of the last 3 years, the total return of 99.2% is higher, 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 compounded annual growth rate (CAGR) of 35.2% in the last 5 years of KLA, we see it is relatively higher, thus better in comparison to the benchmark SPY (13.8%)
  • Looking at annual performance (CAGR) in of 25.9% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (12.3%).

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 historical 30 days volatility over 5 years of KLA is 37.8%, which is greater, thus worse compared to the benchmark SPY (18.8%) in the same period.
  • Looking at volatility in of 44.1% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (22.4%).

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Which means for our asset as example:
  • Looking at the downside deviation of 25.2% in the last 5 years of KLA, we see it is relatively greater, thus worse in comparison to the benchmark SPY (13.7%)
  • Compared with SPY (16.5%) in the period of the last 3 years, the downside volatility of 29.9% is higher, 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.'

Which means for our asset as example:
  • The risk / return profile (Sharpe) over 5 years of KLA is 0.87, which is larger, thus better compared to the benchmark SPY (0.6) in the same period.
  • During the last 3 years, the ratio of return and volatility (Sharpe) is 0.53, which is greater, thus better than the value of 0.44 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • The ratio of annual return and downside deviation over 5 years of KLA is 1.3, which is higher, thus better compared to the benchmark SPY (0.83) in the same period.
  • Compared with SPY (0.59) in the period of the last 3 years, the excess return divided by the downside deviation of 0.78 is greater, 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.'

Applying this definition to our asset in some examples:
  • The Ulcer Index over 5 years of KLA is 9.75 , which is higher, thus worse compared to the benchmark SPY (5.79 ) in the same period.
  • Looking at Ulcer Ratio in of 11 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (7.09 ).

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 drop from peak to valley 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)
  • 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.'

Using this definition on our asset we see for example:
  • Looking at the maximum time in days below previous high water mark of 253 days in the last 5 years of KLA, we see it is relatively higher, 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 below previous high of 253 days is larger, 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:
  • The average days below previous high over 5 years of KLA is 47 days, which is greater, thus worse compared to the benchmark SPY (37 days) in the same period.
  • Compared with SPY (45 days) in the period of the last 3 years, the average time in days below previous high water mark of 61 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, 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.