Correlation Between Eli Lilly and Alfa Financial

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

By analyzing existing cross correlation between Eli Lilly and and Alfa Financial Software, you can compare the effects of market volatilities on Eli Lilly and Alfa Financial 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 Eli Lilly with a short position of Alfa Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eli Lilly and Alfa Financial.

Diversification Opportunities for Eli Lilly and Alfa Financial

0.1

Correlation Coefficient

Eli Lilly  Alfa Financial

Average diversification

The 3 months correlation between Eli and Alfa is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Eli Lilly and and Alfa Financial Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alfa Financial Software and Eli Lilly 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 Eli Lilly and are associated (or correlated) with Alfa Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alfa Financial Software has no effect on the direction of Eli Lilly i.e., Eli Lilly and Alfa Financial go up and down completely randomly.

Pair Corralation between Eli Lilly and Alfa Financial

If you would invest  0.00  in Eli Lilly and on October 25, 2024 and sell it today you would earn a total of  0.00  from holding Eli Lilly and or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	5.56%
Values	Daily Returns

Eli Lilly and  vs.  Alfa Financial Software

Eli Lilly

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Eli Lilly and has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Stock's basic indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.

Alfa Financial Software

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Alfa Financial Software has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Alfa Financial is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with Eli Lilly and Alfa Financial

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

The idea behind Eli Lilly and and Alfa Financial Software 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.