Description

Linear Technology Corporation (Linear Technology) is designing, manufacturing and marketing a range of analog integrated circuits for companies globally. The Company's products provide a bridge between its analog world and the digital electronics in communications, networking, industrial, automotive, computer, medical, instrumentation, consumer, and military and aerospace systems. Linear Technology produces power management, data conversion, signal conditioning, radio frequency (RF) and interface integrated circuits (ICs), Module subsystems, and wireless sensor network products.

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

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.'

Which means for our asset as example:
  • Looking at the total return, or increase in value 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 (84.4%)
  • Compared with SPY (79.6%) in the period of the last 3 years, the total return, or increase in value of 47% is lower, 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.'

Using this definition on our asset we see for example:
  • 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 return (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 (21.6%).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (17.1%) in the period of the last 5 years, the volatility of 23.8% of Linear Technology is greater, thus worse.
  • During the last 3 years, the volatility is 26.8%, which is higher, thus worse than the value of 15.2% from the benchmark.

DownVol:

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

Applying this definition to our asset in some examples:
  • Looking at the downside deviation of 13.8% in the last 5 years of Linear Technology, we see it is relatively larger, thus worse in comparison to the benchmark SPY (11.8%)
  • During the last 3 years, the downside deviation is 14.8%, which is greater, thus worse than the value of 10.1% from the benchmark.

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.'

Using this definition on our asset we see for example:
  • 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 greater, thus better.
  • During the last 3 years, the risk / return profile (Sharpe) is 0.42, which is smaller, thus worse than the value of 1.26 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • The downside risk / excess return profile over 5 years of Linear Technology is 1.09, which is higher, thus better compared to the benchmark SPY (0.9) in the same period.
  • Compared with SPY (1.89) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.75 is smaller, thus worse.

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.'

Applying this definition to our asset in some examples:
  • 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 (8.45 )
  • Compared with SPY (3.5 ) in the period of the last 3 years, the Ulcer Ratio of 9.25 is higher, thus worse.

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.'

Using this definition on our asset we see for example:
  • 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 greater, thus better.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum reduction from previous high 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) in days.'

Which means for our asset as example:
  • Looking at the maximum days under water 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)
  • Compared with SPY (87 days) in the period of the last 3 years, the maximum days below previous high of 343 days is higher, thus worse.

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.'

Applying this definition to our asset in some examples:
  • 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 smaller, thus better in comparison to the benchmark SPY (119 days)
  • Looking at average days below previous high in of 123 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (20 days).

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of Linear Technology are hypothetical and do not account for slippage, fees or taxes.