Correlation Between Ford and Eli Lilly
Can any of the company-specific risk be diversified away by investing in both Ford 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 Ford and Eli Lilly into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Eli Lilly and, you can compare the effects of market volatilities on Ford 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 Ford with a short position of Eli Lilly. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Eli Lilly.
Diversification Opportunities for Ford and Eli Lilly
Very good diversification
The 3 months correlation between Ford and Eli is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Eli Lilly and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eli Lilly and Ford 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 Ford Motor 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 Ford i.e., Ford and Eli Lilly go up and down completely randomly.
Pair Corralation between Ford and Eli Lilly
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Eli Lilly. In addition to that, Ford is 1.02 times more volatile than Eli Lilly and. It trades about 0.0 of its total potential returns per unit of risk. Eli Lilly and is currently generating about 0.03 per unit of volatility. If you would invest 1,512,435 in Eli Lilly and on September 2, 2024 and sell it today you would earn a total of 105,615 from holding Eli Lilly and or generate 6.98% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 99.21% |
| Values | Daily Returns |
Ford Motor vs. Eli Lilly and
Performance |
| Timeline |
| Ford Motor |
| Eli Lilly |
Ford and Eli Lilly Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and Eli Lilly
The main advantage of trading using opposite Ford and Eli Lilly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford 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 Ford Motor 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. Roche Holding AG | Eli Lilly vs. Amgen Inc | Eli Lilly vs. Gilead Sciences | Eli Lilly vs. Biogen 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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