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)

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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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (99%) in the period of the last 5 years, the total return, or performance 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 78.3% from the benchmark.

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.'

Using this definition on our asset we see for example:
  • The annual return (CAGR) over 5 years of Linear Technology is 17.5%, which is higher, thus better compared to the benchmark SPY (14.8%) in the same period.
  • Looking at annual performance (CAGR) in of 13.7% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (21.4%).

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Which means for our asset as example:
  • Compared with the benchmark SPY (17.1%) in the period of the last 5 years, the historical 30 days volatility of 23.8% of Linear Technology is higher, thus worse.
  • Compared with SPY (15.2%) in the period of the last 3 years, the historical 30 days volatility of 26.8% is larger, thus worse.

DownVol:

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

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (11.7%) in the period of the last 5 years, the downside deviation of 13.8% of Linear Technology is higher, thus worse.
  • Compared with SPY (10.2%) in the period of the last 3 years, the downside deviation 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.'

Which means for our asset as example:
  • Looking at the ratio of return and volatility (Sharpe) of 0.63 in the last 5 years of Linear Technology, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.72)
  • During the last 3 years, the Sharpe Ratio is 0.42, which is lower, thus worse than the value of 1.24 from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the excess return divided by the downside deviation of 1.09 in the last 5 years of Linear Technology, we see it is relatively larger, thus better in comparison to the benchmark SPY (1.05)
  • Looking at downside risk / excess return profile in of 0.75 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.86).

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:
  • The Ulcer Ratio over 5 years of Linear Technology is 7.81 , which is lower, thus better compared to the benchmark SPY (8.42 ) in the same period.
  • During the last 3 years, the Ulcer Ratio is 9.25 , which is larger, thus worse than the value of 3.52 from the benchmark.

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:
  • The maximum drop from peak to valley over 5 years of Linear Technology is -23.5 days, which is greater, 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 lower, 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.'

Which means for our asset as example:
  • Looking at the maximum time in days below previous high water mark of 343 days in the last 5 years of Linear Technology, we see it is relatively smaller, 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 under water 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (120 days) in the period of the last 5 years, the average time in days below previous high water mark of 89 days of Linear Technology is lower, thus better.
  • Compared with SPY (21 days) in the period of the last 3 years, the average days below previous high of 123 days is higher, thus worse.

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.