Correlation Between Pfizer and Eli Lilly
Can any of the company-specific risk be diversified away by investing in both Pfizer and Eli Lilly 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 Pfizer and Eli Lilly into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pfizer Inc and Eli Lilly and, you can compare the effects of market volatilities on Pfizer and Eli Lilly 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 Pfizer with a short position of Eli Lilly. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pfizer and Eli Lilly.
Diversification Opportunities for Pfizer and Eli Lilly
Very poor diversification
The 3 months correlation between Pfizer and Eli is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Pfizer Inc and Eli Lilly and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eli Lilly and Pfizer 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 Pfizer Inc are associated (or correlated) with Eli Lilly. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eli Lilly has no effect on the direction of Pfizer i.e., Pfizer and Eli Lilly go up and down completely randomly.
Pair Corralation between Pfizer and Eli Lilly
Assuming the 90 days trading horizon Pfizer is expected to generate 2.74 times less return on investment than Eli Lilly. But when comparing it to its historical volatility, Pfizer Inc is 1.64 times less risky than Eli Lilly. It trades about 0.08 of its potential returns per unit of risk. Eli Lilly and is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 72,010 in Eli Lilly and on September 23, 2024 and sell it today you would earn a total of 4,410 from holding Eli Lilly and or generate 6.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Pfizer Inc vs. Eli Lilly and
Performance |
Timeline |
Pfizer Inc |
Eli Lilly |
Pfizer and Eli Lilly Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pfizer and Eli Lilly
The main advantage of trading using opposite Pfizer and Eli Lilly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pfizer position performs unexpectedly, Eli Lilly 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 Eli Lilly will offset losses from the drop in Eli Lilly's long position.The idea behind Pfizer Inc and Eli Lilly and 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.Eli Lilly vs. Treasury Wine Estates | Eli Lilly vs. Shin Etsu Chemical Co | Eli Lilly vs. Strategic Education | Eli Lilly vs. TIANDE CHEMICAL |
Check out your portfolio center.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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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