Correlation Between Federal National and Eli Lilly
Can any of the company-specific risk be diversified away by investing in both Federal National 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 Federal National and Eli Lilly into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federal National Mortgage and Eli Lilly and, you can compare the effects of market volatilities on Federal National 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 Federal National with a short position of Eli Lilly. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federal National and Eli Lilly.
Diversification Opportunities for Federal National and Eli Lilly
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Federal and Eli is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Federal National Mortgage and Eli Lilly and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eli Lilly and Federal National 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 Federal National Mortgage 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 Federal National i.e., Federal National and Eli Lilly go up and down completely randomly.
Pair Corralation between Federal National and Eli Lilly
Assuming the 90 days horizon Federal National Mortgage is expected to generate 1.65 times more return on investment than Eli Lilly. However, Federal National is 1.65 times more volatile than Eli Lilly and. It trades about 0.08 of its potential returns per unit of risk. Eli Lilly and is currently generating about 0.06 per unit of risk. If you would invest 3,400,000 in Federal National Mortgage on December 28, 2024 and sell it today you would earn a total of 500,000 from holding Federal National Mortgage or generate 14.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Federal National Mortgage vs. Eli Lilly and
Performance |
Timeline |
Federal National Mortgage |
Eli Lilly |
Federal National and Eli Lilly Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federal National and Eli Lilly
The main advantage of trading using opposite Federal National and Eli Lilly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federal National 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.Federal National vs. Federal Home Loan | Federal National vs. Federal Home Loan | Federal National vs. Federal Home Loan | Federal National vs. Federal Home Loan |
Eli Lilly vs. Johnson Johnson | Eli Lilly vs. Bristol Myers Squibb | Eli Lilly vs. AbbVie Inc | Eli Lilly vs. Pfizer Inc |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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