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.'

• Looking at the total return of 124.1% in the last 5 years of Linear Technology, we see it is relatively higher, thus better in comparison to the benchmark SPY (91.1%)
• Compared with SPY (84%) in the period of the last 3 years, the total return, or increase in value 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 higher, thus better in comparison to the benchmark SPY (13.9%)
• Compared with SPY (22.7%) 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.'

• Looking at the historical 30 days 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%)
• During the last 3 years, the volatility is 26.8%, which is larger, thus worse than the value of 15.1% from the benchmark.

DownVol:

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

• Compared with the benchmark SPY (11.7%) in the period of the last 5 years, the downside risk of 13.8% of Linear Technology is larger, thus worse.
• 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 (0.67) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.63 of Linear Technology is smaller, thus worse.
• Looking at ratio of return and volatility (Sharpe) in of 0.42 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.33).

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 larger, thus better compared to the benchmark SPY (0.97) in the same period.
• During the last 3 years, the ratio of annual return and downside deviation is 0.75, which is lower, thus worse than the value of 2 from the benchmark.

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 smaller, thus better in comparison to the benchmark SPY (8.45 )
• Looking at Downside risk index 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:

'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.'

• Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum reduction from previous high of -23.5 days of Linear Technology is larger, thus better.
• During the last 3 years, the maximum DrawDown is -23.5 days, which is lower, thus worse than the value of -18.8 days from the benchmark.

MaxDuration:

'The Maximum 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. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

• 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 lower, 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 larger, 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 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 (20 days) in the period of the last 3 years, the average days below previous high of 123 days is greater, thus worse.