Correlation Between 1 800 and 49456BAU5

Can any of the company-specific risk be diversified away by investing in both 1 800 and 49456BAU5 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 49456BAU5 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 KMI 175 15 NOV 26, you can compare the effects of market volatilities on 1 800 and 49456BAU5 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 49456BAU5. Check out your portfolio center. Please also check ongoing floating volatility patterns of 1 800 and 49456BAU5.

Diversification Opportunities for 1 800 and 49456BAU5

0.26

Correlation Coefficient

1 800  49456BAU5

Modest diversification

The 3 months correlation between FLWS and 49456BAU5 is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding 1 800 FLOWERSCOM and KMI 175 15 NOV 26 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KMI 175 15 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 49456BAU5. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KMI 175 15 has no effect on the direction of 1 800 i.e., 1 800 and 49456BAU5 go up and down completely randomly.

Pair Corralation between 1 800 and 49456BAU5

Given the investment horizon of 90 days 1 800 FLOWERSCOM is expected to under-perform the 49456BAU5. In addition to that, 1 800 is 2.91 times more volatile than KMI 175 15 NOV 26. It trades about -0.12 of its total potential returns per unit of risk. KMI 175 15 NOV 26 is currently generating about 0.01 per unit of volatility. If you would invest  9,466  in KMI 175 15 NOV 26 on December 24, 2024 and sell it today you would lose (1.00) from holding KMI 175 15 NOV 26 or give up 0.01% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	96.67%
Values	Daily Returns

1 800 FLOWERSCOM  vs.  KMI 175 15 NOV 26

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.

KMI 175 15

Risk-Adjusted Performance

Very Weak

Over the last 90 days KMI 175 15 NOV 26 has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, 49456BAU5 is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with 1 800 and 49456BAU5

The main advantage of trading using opposite 1 800 and 49456BAU5 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 1 800 position performs unexpectedly, 49456BAU5 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 49456BAU5 will offset losses from the drop in 49456BAU5's long position.

The idea behind 1 800 FLOWERSCOM and KMI 175 15 NOV 26 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.