Correlation Between 1 800 and Group 1

Can any of the company-specific risk be diversified away by investing in both 1 800 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 1 800 and Group 1 into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between 1 800 FLOWERSCOM and Group 1 Automotive, you can compare the effects of market volatilities on 1 800 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 1 800 with a short position of Group 1. Check out your portfolio center. Please also check ongoing floating volatility patterns of 1 800 and Group 1.

Diversification Opportunities for 1 800 and Group 1

0.49

Correlation Coefficient

1 800  Group 1

Very weak diversification

The 3 months correlation between FLWS and Group is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding 1 800 FLOWERSCOM 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 1 800 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 1 800 FLOWERSCOM 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 1 800 i.e., 1 800 and Group 1 go up and down completely randomly.

Pair Corralation between 1 800 and Group 1

Given the investment horizon of 90 days 1 800 FLOWERSCOM is expected to under-perform the Group 1. In addition to that, 1 800 is 1.83 times more volatile than Group 1 Automotive. It trades about -0.1 of its total potential returns per unit of risk. Group 1 Automotive is currently generating about -0.03 per unit of volatility. If you would invest  41,056  in Group 1 Automotive on December 18, 2024 and sell it today you would lose (1,838) from holding Group 1 Automotive or give up 4.48% of portfolio value over 90 days.

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

1 800 FLOWERSCOM  vs.  Group 1 Automotive

1 800 FLOWERSCOM

Risk-Adjusted Performance

Very Weak

Over the last 90 days 1 800 FLOWERSCOM has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in April 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Group 1 Automotive

Risk-Adjusted Performance

Very Weak

Over the last 90 days Group 1 Automotive has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong basic indicators, Group 1 is not utilizing all of its potentials. The current stock price confusion, may contribute to short-horizon losses for the traders.

Pair Trading with 1 800 and Group 1

The main advantage of trading using opposite 1 800 and Group 1 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 1 800 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 1 800 FLOWERSCOM 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.