'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:- The total return, or increase in value over 5 years of Linear Technology is 96%, which is larger, thus better compared to the benchmark SPY (67.9%) in the same period.
- During the last 3 years, the total return is 36%, which is smaller, thus worse than the value of 44.5% from the benchmark.

'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.'

Applying this definition to our asset in some examples:- The annual performance (CAGR) over 5 years of Linear Technology is 14.4%, which is larger, thus better compared to the benchmark SPY (10.9%) in the same period.
- Compared with SPY (13.1%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 10.8% is lower, thus worse.

'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 (21.4%) in the period of the last 5 years, the 30 days standard deviation of 23.9% of Linear Technology is larger, thus worse.
- During the last 3 years, the volatility is 26.8%, which is higher, thus worse than the value of 18.7% from the benchmark.

'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:- The downside deviation over 5 years of Linear Technology is 13.9%, which is smaller, thus better compared to the benchmark SPY (15.4%) in the same period.
- Looking at downside volatility in of 14.9% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (13.3%).

'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.'

Applying this definition to our asset in some examples:- Looking at the ratio of return and volatility (Sharpe) of 0.5 in the last 5 years of Linear Technology, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.39)
- Looking at Sharpe Ratio in of 0.31 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.56).

'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.'

Using this definition on our asset we see for example:- Looking at the excess return divided by the downside deviation of 0.86 in the last 5 years of Linear Technology, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.55)
- Compared with SPY (0.79) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.56 is smaller, thus worse.

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Which means for our asset as example:- The Downside risk index over 5 years of Linear Technology is 9.19 , which is lower, thus better compared to the benchmark SPY (9.47 ) in the same period.
- Compared with SPY (10 ) in the period of the last 3 years, the Downside risk index of 11 is larger, thus worse.

'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.'

Which means for our asset as example:- The maximum drop from peak to valley over 5 years of Linear Technology is -25.8 days, which is higher, thus better compared to the benchmark SPY (-33.7 days) in the same period.
- Looking at maximum reduction from previous high in of -25.8 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-24.5 days).

'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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Which means for our asset as example:- The maximum days below previous high over 5 years of Linear Technology is 583 days, which is larger, thus worse compared to the benchmark SPY (354 days) in the same period.
- Compared with SPY (354 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 583 days is greater, thus worse.

'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.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (79 days) in the period of the last 5 years, the average time in days below previous high water mark of 168 days of Linear Technology is higher, thus worse.
- Looking at average days below previous high in of 237 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (102 days).

Historical returns have been extended using synthetic data.
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- 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.