Correlation Between Macys and Group 1

Can any of the company-specific risk be diversified away by investing in both Macys and Group 1 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 Macys and Group 1 into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Macys Inc and Group 1 Automotive, you can compare the effects of market volatilities on Macys and Group 1 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 Macys with a short position of Group 1. Check out your portfolio center. Please also check ongoing floating volatility patterns of Macys and Group 1.

Diversification Opportunities for Macys and Group 1

0.56

Correlation Coefficient

Macys  Group 1

Very weak diversification

The 3 months correlation between Macys and Group is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Macys Inc and Group 1 Automotive in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Group 1 Automotive and Macys 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 Macys Inc are associated (or correlated) with Group 1. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Group 1 Automotive has no effect on the direction of Macys i.e., Macys and Group 1 go up and down completely randomly.

Pair Corralation between Macys and Group 1

Taking into account the 90-day investment horizon Macys is expected to generate 18.66 times less return on investment than Group 1. In addition to that, Macys is 1.46 times more volatile than Group 1 Automotive. It trades about 0.0 of its total potential returns per unit of risk. Group 1 Automotive is currently generating about 0.1 per unit of volatility. If you would invest  17,729  in Group 1 Automotive on September 26, 2024 and sell it today you would earn a total of  24,889  from holding Group 1 Automotive or generate 140.39% return on investment over 90 days.

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

Macys Inc  vs.  Group 1 Automotive

Macys Inc

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Macys Inc are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of very unsteady primary indicators, Macys displayed solid returns over the last few months and may actually be approaching a breakup point.

Group 1 Automotive

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Group 1 Automotive are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite fairly unfluctuating basic indicators, Group 1 may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Pair Trading with Macys and Group 1

The main advantage of trading using opposite Macys and Group 1 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Macys position performs unexpectedly, Group 1 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 Group 1 will offset losses from the drop in Group 1's long position.

The idea behind Macys Inc and Group 1 Automotive 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.