Correlation Between Eli Lilly and NeoGenomics

Can any of the company-specific risk be diversified away by investing in both Eli Lilly and NeoGenomics 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 NeoGenomics 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 NeoGenomics, you can compare the effects of market volatilities on Eli Lilly and NeoGenomics 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 NeoGenomics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eli Lilly and NeoGenomics.

Diversification Opportunities for Eli Lilly and NeoGenomics

-0.65

Correlation Coefficient

Eli Lilly  NeoGenomics

Excellent diversification

The 3 months correlation between Eli and NeoGenomics is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Eli Lilly and and NeoGenomics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NeoGenomics 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 NeoGenomics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NeoGenomics has no effect on the direction of Eli Lilly i.e., Eli Lilly and NeoGenomics go up and down completely randomly.

Pair Corralation between Eli Lilly and NeoGenomics

Considering the 90-day investment horizon Eli Lilly and is expected to generate 0.52 times more return on investment than NeoGenomics. However, Eli Lilly and is 1.91 times less risky than NeoGenomics. It trades about 0.07 of its potential returns per unit of risk. NeoGenomics is currently generating about -0.01 per unit of risk. If you would invest  58,959  in Eli Lilly and on December 2, 2024 and sell it today you would earn a total of  33,104  from holding Eli Lilly and or generate 56.15% return on investment over 90 days.

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

Eli Lilly and  vs.  NeoGenomics

Eli Lilly

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Eli Lilly and are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of fairly sluggish essential indicators, Eli Lilly showed solid returns over the last few months and may actually be approaching a breakup point.

NeoGenomics

Risk-Adjusted Performance

Very Weak

Over the last 90 days NeoGenomics has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's technical and fundamental indicators remain very healthy which may send shares a bit higher in April 2025. The recent disarray may also be a sign of long period up-swing for the firm investors.

Pair Trading with Eli Lilly and NeoGenomics

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

The idea behind Eli Lilly and and NeoGenomics 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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.