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:

'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.'

Which means for our asset as example:
  • Looking at the total return, or increase in value of 96% in the last 5 years of Linear Technology, we see it is relatively larger, thus better in comparison to the benchmark SPY (81.9%)
  • Compared with SPY (46.1%) in the period of the last 3 years, the total return, or performance of 36% is smaller, thus worse.

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Which means for our asset as example:
  • Compared with the benchmark SPY (12.7%) in the period of the last 5 years, the annual return (CAGR) of 14.4% of Linear Technology is higher, thus better.
  • Looking at compounded annual growth rate (CAGR) in of 10.8% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (13.5%).

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.'

Applying this definition to our asset in some examples:
  • The historical 30 days volatility over 5 years of Linear Technology is 23.9%, which is higher, thus worse compared to the benchmark SPY (19.8%) in the same period.
  • During the last 3 years, the volatility is 26.8%, which is higher, thus worse than the value of 23% from the benchmark.

DownVol:

'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.'

Using this definition on our asset we see for example:
  • The downside deviation over 5 years of Linear Technology is 13.9%, which is lower, thus better compared to the benchmark SPY (14.5%) in the same period.
  • Looking at downside deviation in of 14.9% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (16.8%).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.52) in the period of the last 5 years, the Sharpe Ratio of 0.5 of Linear Technology is smaller, thus worse.
  • During the last 3 years, the risk / return profile (Sharpe) is 0.31, which is smaller, thus worse than the value of 0.48 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.'

Using this definition on our asset we see for example:
  • The downside risk / excess return profile over 5 years of Linear Technology is 0.86, which is larger, thus better compared to the benchmark SPY (0.7) in the same period.
  • Compared with SPY (0.65) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.56 is lower, 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 Downside risk index of 9.19 in the last 5 years of Linear Technology, we see it is relatively greater, thus worse in comparison to the benchmark SPY (6.08 )
  • Compared with SPY (6.77 ) in the period of the last 3 years, the Ulcer Ratio of 11 is greater, thus worse.

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.'

Using this definition on our asset we see for example:
  • Looking at the maximum reduction from previous high of -25.8 days in the last 5 years of Linear Technology, we see it is relatively larger, thus better in comparison to the benchmark SPY (-33.7 days)
  • During the last 3 years, the maximum reduction from previous high is -25.8 days, which is greater, thus better than the value of -33.7 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.'

Using this definition on our asset we see for example:
  • The maximum days under water over 5 years of Linear Technology is 583 days, which is larger, thus worse compared to the benchmark SPY (139 days) in the same period.
  • During the last 3 years, the maximum days under water is 583 days, which is higher, thus worse than the value of 119 days from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (35 days) in the period of the last 5 years, the average days below previous high of 168 days of Linear Technology is higher, thus worse.
  • Compared with SPY (27 days) in the period of the last 3 years, the average time in days below previous high water mark of 237 days is greater, 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, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.