Linear Technology (LLTC)

TotalReturn:

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

• Compared with the benchmark SPY (85%) 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 (84.2%) in the period of the last 3 years, the total return of 47% is smaller, thus worse.

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 return (CAGR) of 17.5% in the last 5 years of Linear Technology, we see it is relatively larger, thus better in comparison to the benchmark SPY (13.1%)
• Looking at annual performance (CAGR) in of 13.7% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (22.7%).

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.'

• Looking at the volatility of 23.8% in the last 5 years of Linear Technology, we see it is relatively higher, thus worse in comparison to the benchmark SPY (17.1%)
• Compared with SPY (15.2%) in the period of the last 3 years, the volatility of 26.8% is higher, thus worse.

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 risk 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 (10.1%) in the period of the last 3 years, the downside volatility of 14.8% is greater, 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.'

• Compared with the benchmark SPY (0.62) in the period of the last 5 years, the Sharpe Ratio of 0.63 of Linear Technology is higher, thus better.
• Compared with SPY (1.34) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.42 is lower, thus worse.

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

• Compared with the benchmark SPY (0.9) in the period of the last 5 years, the downside risk / excess return profile of 1.09 of Linear Technology is higher, thus better.
• 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 (2.01).

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.'

• The Ulcer Ratio over 5 years of Linear Technology is 7.81 , which is smaller, thus better compared to the benchmark SPY (8.45 ) in the same period.
• Looking at Ulcer Ratio in of 9.25 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (3.5 ).

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 reduction from previous high over 5 years of Linear Technology is -23.5 days, which is higher, thus better compared to the benchmark SPY (-24.5 days) in the same period.
• 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). 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 days under water of 343 days of Linear Technology is smaller, thus better.
• Looking at maximum days below previous high in of 343 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (87 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.'

• 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 (119 days)
• Looking at average days under water in of 123 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (20 days).