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, or increase in value over 5 years of Linear Technology is 124.1%, which is lower, thus worse compared to the benchmark SPY (143%) in the same period.
• Compared with SPY (39%) in the period of the last 3 years, the total return, or increase in value of 47% is greater, thus better.

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

• Compared with the benchmark SPY (19.5%) in the period of the last 5 years, the annual performance (CAGR) of 17.5% of Linear Technology is lower, thus worse.
• During the last 3 years, the annual performance (CAGR) is 13.7%, which is larger, thus better than the value of 11.7% from the benchmark.

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 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 (19.6%)
• Compared with SPY (17.1%) in the period of the last 3 years, the historical 30 days volatility of 26.8% is larger, 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 deviation over 5 years of Linear Technology is 13.8%, which is larger, thus worse compared to the benchmark SPY (13.5%) in the same period.
• Looking at downside deviation in of 14.8% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (12%).

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

• Compared with the benchmark SPY (0.87) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.63 of Linear Technology is lower, thus worse.
• During the last 3 years, the ratio of return and volatility (Sharpe) is 0.42, which is lower, thus worse than the value of 0.54 from the benchmark.

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 (1.26) in the period of the last 5 years, the ratio of annual return and downside deviation of 1.09 of Linear Technology is smaller, thus worse.
• 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 (0.77).

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.'

• Compared with the benchmark SPY (8.32 ) in the period of the last 5 years, the Ulcer Ratio of 7.81 of Linear Technology is lower, thus better.
• Looking at Ulcer Index in of 9.25 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (8.6 ).

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.'

• 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 larger, thus better in comparison to the benchmark SPY (-24.5 days)
• During the last 3 years, the maximum reduction from previous high is -23.5 days, which is smaller, thus worse than the value of -22.1 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.'

• The maximum days under water over 5 years of Linear Technology is 343 days, which is smaller, thus better compared to the benchmark SPY (488 days) in the same period.
• Looking at maximum days under water in of 343 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (325 days).

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.'

• Compared with the benchmark SPY (118 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 (90 days) in the period of the last 3 years, the average days below previous high of 123 days is greater, thus worse.