Linear Technology (LLTC)

TotalReturn:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

• Compared with the benchmark SPY (100.4%) in the period of the last 5 years, the total return, or increase in value of 124.1% of Linear Technology is higher, thus better.
• Compared with SPY (87.6%) in the period of the last 3 years, the total return of 47% is lower, thus worse.

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.'

• The compounded annual growth rate (CAGR) over 5 years of Linear Technology is 17.5%, which is larger, thus better compared to the benchmark SPY (15%) in the same period.
• Looking at annual performance (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 (23.5%).

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.'

• Looking at the historical 30 days volatility of 23.8% in the last 5 years of Linear Technology, we see it is relatively larger, thus worse in comparison to the benchmark SPY (17.1%)
• Looking at historical 30 days volatility in of 26.8% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (15.4%).

DownVol:

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

• Looking at the downside deviation of 13.8% in the last 5 years of Linear Technology, we see it is relatively higher, thus worse in comparison to the benchmark SPY (11.8%)
• Compared with SPY (10.2%) in the period of the last 3 years, the downside deviation of 14.8% is larger, thus worse.

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

• Looking at the Sharpe Ratio of 0.63 in the last 5 years of Linear Technology, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.73)
• During the last 3 years, the risk / return profile (Sharpe) is 0.42, which is lower, thus worse than the value of 1.36 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.'

• The downside risk / excess return profile over 5 years of Linear Technology is 1.09, which is larger, thus better compared to the benchmark SPY (1.06) in the same period.
• Looking at excess return divided by the downside deviation in of 0.75 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (2.05).

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 Ulcer Ratio of 7.81 in the last 5 years of Linear Technology, we see it is relatively lower, thus better in comparison to the benchmark SPY (8.42 )
• During the last 3 years, the Ulcer Ratio is 9.25 , which is higher, thus worse than the value of 3.51 from the benchmark.

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.'

• Looking at the maximum reduction from previous high of -23.5 days in the last 5 years of Linear Technology, we see it is relatively greater, thus better in comparison to the benchmark SPY (-24.5 days)
• Looking at maximum reduction from previous high in of -23.5 days in the period of the last 3 years, we see it is relatively lower, 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'

• 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 343 days of Linear Technology is smaller, thus better.
• During the last 3 years, the maximum time in days below previous high water mark is 343 days, which is greater, thus worse than the value of 87 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.'

• Looking at the average time in days below previous high water mark of 89 days in the last 5 years of Linear Technology, we see it is relatively lower, thus better in comparison to the benchmark SPY (120 days)
• Compared with SPY (21 days) in the period of the last 3 years, the average days below previous high of 123 days is greater, thus worse.