Correlation Between CarMax and Cintas

Can any of the company-specific risk be diversified away by investing in both CarMax and Cintas at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining CarMax and Cintas into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between CarMax Inc and Cintas, you can compare the effects of market volatilities on CarMax and Cintas and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in CarMax with a short position of Cintas. Check out your portfolio center. Please also check ongoing floating volatility patterns of CarMax and Cintas.

Diversification Opportunities for CarMax and Cintas

0.02

Correlation Coefficient

CarMax  Cintas

Significant diversification

The 3 months correlation between CarMax and Cintas is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding CarMax Inc and Cintas in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cintas and CarMax is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on CarMax Inc are associated (or correlated) with Cintas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cintas has no effect on the direction of CarMax i.e., CarMax and Cintas go up and down completely randomly.

Pair Corralation between CarMax and Cintas

Considering the 90-day investment horizon CarMax is expected to generate 4.56 times less return on investment than Cintas. In addition to that, CarMax is 1.97 times more volatile than Cintas. It trades about 0.02 of its total potential returns per unit of risk. Cintas is currently generating about 0.16 per unit of volatility. If you would invest  11,919  in Cintas on August 31, 2024 and sell it today you would earn a total of  10,660  from holding Cintas or generate 89.44% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

CarMax Inc  vs.  Cintas

CarMax Inc

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in CarMax Inc are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of fairly strong primary indicators, CarMax is not utilizing all of its potentials. The recent stock price disturbance, may contribute to short-term losses for the investors.

Cintas

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Cintas are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unfluctuating basic indicators, Cintas unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with CarMax and Cintas

The main advantage of trading using opposite CarMax and Cintas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CarMax position performs unexpectedly, Cintas can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Cintas will offset losses from the drop in Cintas' long position.

The idea behind CarMax Inc and Cintas pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.