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.'

• The total return over 5 years of Linear Technology is 124.1%, which is higher, thus better compared to the benchmark SPY (91.2%) in the same period.
• During the last 3 years, the total return is 47%, which is higher, thus better than the value of 30.8% 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.'

• The annual return (CAGR) over 5 years of Linear Technology is 17.5%, which is higher, thus better compared to the benchmark SPY (13.9%) in the same period.
• During the last 3 years, the annual return (CAGR) is 13.7%, which is higher, thus better than the value of 9.4% from the benchmark.

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.'

• The 30 days standard deviation over 5 years of Linear Technology is 23.8%, which is larger, thus worse compared to the benchmark SPY (21%) in the same period.
• Looking at 30 days standard deviation in of 26.8% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (17.5%).

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. 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 volatility over 5 years of Linear Technology is 13.8%, which is smaller, thus better compared to the benchmark SPY (15%) in the same period.
• During the last 3 years, the downside risk is 14.8%, which is larger, thus worse than the value of 12.3% 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.'

• Looking at the Sharpe Ratio of 0.63 in the last 5 years of Linear Technology, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.54)
• During the last 3 years, the ratio of return and volatility (Sharpe) is 0.42, which is higher, thus better than the value of 0.4 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 excess return divided by the downside deviation over 5 years of Linear Technology is 1.09, which is higher, thus better compared to the benchmark SPY (0.76) in the same period.
• Looking at ratio of annual return and downside deviation in of 0.75 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.56).

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

• 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 (9.33 )
• During the last 3 years, the Ulcer Ratio is 9.25 , which is larger, thus worse than the value of 8.89 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.'

• 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 (-33.7 days)
• Compared with SPY (-22.4 days) in the period of the last 3 years, the maximum DrawDown of -23.5 days is smaller, 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'

• 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)
• Looking at maximum days below previous high in of 343 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (375 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.'

• Compared with the benchmark SPY (122 days) in the period of the last 5 years, the average days under water of 89 days of Linear Technology is lower, thus better.
• Compared with SPY (114 days) in the period of the last 3 years, the average time in days below previous high water mark of 123 days is larger, thus worse.