'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.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (74.4%) in the period of the last 5 years, the total return of 170.2% of O'Reilly Automotive is larger, thus better.
- Looking at total return in of 43.9% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (47.2%).

'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 O'Reilly Automotive is 22%, which is higher, thus better compared to the benchmark SPY (11.8%) in the same period.
- Looking at annual return (CAGR) in of 12.9% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (13.8%).

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Which means for our asset as example:- The volatility over 5 years of O'Reilly Automotive is 25.4%, which is higher, thus worse compared to the benchmark SPY (13.6%) in the same period.
- Compared with SPY (12.9%) in the period of the last 3 years, the historical 30 days volatility of 27.7% is greater, thus worse.

'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.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (14.9%) in the period of the last 5 years, the downside deviation of 26.9% of O'Reilly Automotive is higher, thus worse.
- Compared with SPY (14.6%) in the period of the last 3 years, the downside deviation of 29.7% is higher, thus worse.

'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:- Looking at the Sharpe Ratio of 0.77 in the last 5 years of O'Reilly Automotive, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.68)
- Looking at risk / return profile (Sharpe) in of 0.38 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.88).

'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:- The excess return divided by the downside deviation over 5 years of O'Reilly Automotive is 0.72, which is higher, thus better compared to the benchmark SPY (0.62) in the same period.
- Looking at ratio of annual return and downside deviation in of 0.35 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.77).

'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.'

Which means for our asset as example:- The Downside risk index over 5 years of O'Reilly Automotive is 11 , which is greater, thus worse compared to the benchmark SPY (3.99 ) in the same period.
- Looking at Ulcer Ratio in of 13 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (4.1 ).

'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.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (-19.3 days) in the period of the last 5 years, the maximum DrawDown of -40.5 days of O'Reilly Automotive is smaller, thus worse.
- During the last 3 years, the maximum reduction from previous high is -39.5 days, which is lower, thus worse than the value of -19.3 days from the benchmark.

'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.'

Applying this definition to our asset in some examples:- Looking at the maximum days under water of 495 days in the last 5 years of O'Reilly Automotive, we see it is relatively larger, thus worse in comparison to the benchmark SPY (187 days)
- During the last 3 years, the maximum time in days below previous high water mark is 375 days, which is greater, thus worse than the value of 139 days from the benchmark.

'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:- Looking at the average days below previous high of 125 days in the last 5 years of O'Reilly Automotive, we see it is relatively greater, thus worse in comparison to the benchmark SPY (41 days)
- During the last 3 years, the average time in days below previous high water mark is 116 days, which is higher, thus worse than the value of 36 days from the benchmark.

Historical returns have been extended using synthetic data.
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- "Year" returns in the table above are not equal to the sum of monthly returns due to compounding.
- Performance results of O'Reilly Automotive 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.