Linear Technology (LLTC)

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.'

• Looking at the total return, or increase in value of 124.1% in the last 5 years of Linear Technology, we see it is relatively greater, thus better in comparison to the benchmark SPY (92.8%)
• During the last 3 years, the total return is 47%, which is lower, thus worse than the value of 88.1% from the benchmark.

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

• Looking at the compounded annual growth rate (CAGR) of 17.5% in the last 5 years of Linear Technology, we see it is relatively higher, thus better in comparison to the benchmark SPY (14.1%)
• Looking at compounded annual growth rate (CAGR) in of 13.7% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (23.6%).

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

• The volatility over 5 years of Linear Technology is 23.8%, which is greater, thus worse compared to the benchmark SPY (17%) in the same period.
• Compared with SPY (15.1%) in the period of the last 3 years, the historical 30 days volatility of 26.8% is higher, 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.'

• The downside risk over 5 years of Linear Technology is 13.8%, which is higher, thus worse compared to the benchmark SPY (11.7%) in the same period.
• During the last 3 years, the downside risk is 14.8%, which is greater, 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.'

• Compared with the benchmark SPY (0.68) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.63 of Linear Technology is smaller, thus worse.
• Looking at risk / return profile (Sharpe) in of 0.42 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.4).

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.'

• Looking at the excess return divided by the downside deviation of 1.09 in the last 5 years of Linear Technology, we see it is relatively greater, thus better in comparison to the benchmark SPY (0.99)
• Compared with SPY (2.1) in the period of the last 3 years, the downside risk / excess return profile of 0.75 is smaller, thus worse.

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.'

• Looking at the Downside risk index of 7.81 in the last 5 years of Linear Technology, we see it is relatively smaller, thus better in comparison to the benchmark SPY (8.45 )
• During the last 3 years, the Ulcer Index is 9.25 , which is higher, thus worse than the value of 3.5 from the benchmark.

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

• The maximum DrawDown over 5 years of Linear Technology is -23.5 days, which is greater, thus better compared to the benchmark SPY (-24.5 days) in the same period.
• Looking at maximum DrawDown in of -23.5 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). 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'

• Looking at the maximum time in days below previous high water mark of 343 days in the last 5 years of Linear Technology, we see it is relatively lower, thus better in comparison to the benchmark SPY (488 days)
• During the last 3 years, the maximum days under water is 343 days, which is greater, 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.'

• Compared with the benchmark SPY (120 days) in the period of the last 5 years, the average time in days below previous high water mark of 89 days of Linear Technology is lower, thus better.
• Looking at average time in days below previous high water mark in of 123 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (20 days).