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.'

• Compared with the benchmark SPY (102.5%) in the period of the last 5 years, the total return, or increase in value of 124.1% of Linear Technology is larger, thus better.
• During the last 3 years, the total return is 47%, which is smaller, thus worse than the value of 74.7% from the benchmark.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

• Looking at the annual performance (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 (15.2%)
• Compared with SPY (20.6%) in the period of the last 3 years, the annual return (CAGR) of 13.7% is lower, thus worse.

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

• The volatility over 5 years of Linear Technology is 23.8%, which is greater, thus worse compared to the benchmark SPY (17.1%) in the same period.
• Compared with SPY (15.6%) in the period of the last 3 years, the historical 30 days volatility of 26.8% 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.'

• The downside volatility over 5 years of Linear Technology is 13.8%, which is higher, thus worse compared to the benchmark SPY (11.8%) in the same period.
• Compared with SPY (10.4%) in the period of the last 3 years, the downside risk of 14.8% is higher, 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.'

• The ratio of return and volatility (Sharpe) over 5 years of Linear Technology is 0.63, which is smaller, thus worse compared to the benchmark SPY (0.74) in the same period.
• Compared with SPY (1.16) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.42 is smaller, thus worse.

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 ratio of annual return and downside deviation of 1.09 in the last 5 years of Linear Technology, we see it is relatively higher, thus better in comparison to the benchmark SPY (1.08)
• During the last 3 years, the excess return divided by the downside deviation is 0.75, which is smaller, thus worse than the value of 1.73 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.'

• Looking at the Ulcer Index 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 Index is 9.25 , which is higher, thus worse than the value of 3.63 from the benchmark.

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

• Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum drop from peak to valley of -23.5 days of Linear Technology is greater, thus better.
• During the last 3 years, the maximum DrawDown is -23.5 days, which is smaller, thus worse than the value of -18.8 days from the benchmark.

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) in days.'

• Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days below previous high of 343 days of Linear Technology is smaller, thus better.
• During the last 3 years, the maximum days below previous high is 343 days, which is larger, 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.'

• Looking at the average days below previous high 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 time in days below previous high water mark of 123 days is greater, thus worse.