Description

O'Reilly Automotive, Inc., together with its subsidiaries, engages in the retail of automotive aftermarket parts, tools, supplies, equipment, and accessories in the United States. The company provides new and remanufactured automotive hard parts and maintenance items, such as alternators, batteries, brake system components, belts, chassis parts, driveline parts, engine parts, fuel pumps, hoses, starters, temperature control, water pumps, antifreeze, lighting products, appearance products, engine additives, filters, fluids, and oil and wiper blades; and accessories, such as floor mats, seat covers, and truck accessories. Its stores offer auto body paint and related materials, automotive tools, and professional service provider service equipment. The company's stores also offer enhanced services and programs comprising used oil, oil filter, and battery recycling; battery, wiper, and bulb replacement; battery diagnostic testing; electrical and module testing; check engine light code extraction; loaner tool program; drum and rotor resurfacing; custom hydraulic hoses; professional paint shop mixing and related materials; and machine shops. Its stores provide do-it-yourself and professional service provider customers a selection of products for domestic and imported automobiles, vans, and trucks. As of December 31, 2019, the company operated 5,439 stores. O'Reilly Automotive, Inc. was founded in 1957 and is headquartered in Springfield, Missouri.

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:
  • The total return, or increase in value over 5 years of O'Reilly Automotive is 246.9%, which is greater, thus better compared to the benchmark SPY (100.3%) in the same period.
  • Looking at total return, or increase in value in of 86.3% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (77.1%).

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.'

Applying this definition to our asset in some examples:
  • Looking at the compounded annual growth rate (CAGR) of 28.3% in the last 5 years of O'Reilly Automotive, we see it is relatively higher, thus better in comparison to the benchmark SPY (15%)
  • Looking at compounded annual growth rate (CAGR) in of 23.2% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (21.1%).

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.'

Which means for our asset as example:
  • The 30 days standard deviation over 5 years of O'Reilly Automotive is 22%, which is greater, thus worse compared to the benchmark SPY (17%) in the same period.
  • Compared with SPY (15.2%) in the period of the last 3 years, the historical 30 days volatility of 20% is higher, thus worse.

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.'

Applying this definition to our asset in some examples:
  • Looking at the downside deviation of 15.4% in the last 5 years of O'Reilly Automotive, we see it is relatively larger, thus worse in comparison to the benchmark SPY (11.7%)
  • Looking at downside volatility in of 13.6% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (10.2%).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.73) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 1.17 of O'Reilly Automotive is larger, thus better.
  • Compared with SPY (1.23) in the period of the last 3 years, the Sharpe Ratio of 1.03 is lower, thus worse.

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 downside risk / excess return profile of 1.67 in the last 5 years of O'Reilly Automotive, we see it is relatively larger, thus better in comparison to the benchmark SPY (1.06)
  • Looking at downside risk / excess return profile in of 1.52 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.83).

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Which means for our asset as example:
  • Looking at the Ulcer Index of 6.34 in the last 5 years of O'Reilly Automotive, we see it is relatively lower, thus better in comparison to the benchmark SPY (8.42 )
  • Compared with SPY (3.51 ) in the period of the last 3 years, the Ulcer Index of 6.15 is larger, thus worse.

MaxDD:

'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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum drop from peak to valley of -23 days of O'Reilly Automotive is larger, thus better.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum drop from peak to valley of -18.1 days is higher, thus better.

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). 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 under water over 5 years of O'Reilly Automotive is 136 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • Looking at maximum days below previous high in of 136 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (87 days).

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:
  • The average time in days below previous high water mark over 5 years of O'Reilly Automotive is 34 days, which is lower, thus better compared to the benchmark SPY (120 days) in the same period.
  • Looking at average time in days below previous high water mark in of 36 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (21 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 O'Reilly Automotive are hypothetical and do not account for slippage, fees or taxes.