Correlation Between Dow Jones and Eli Lilly
Can any of the company-specific risk be diversified away by investing in both Dow Jones 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 Dow Jones and Eli Lilly into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Eli Lilly and, you can compare the effects of market volatilities on Dow Jones 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 Dow Jones with a short position of Eli Lilly. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Eli Lilly.
Diversification Opportunities for Dow Jones and Eli Lilly
Very good diversification
The 3 months correlation between Dow and Eli is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Eli Lilly and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eli Lilly and Dow Jones 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 Dow Jones Industrial 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 Dow Jones i.e., Dow Jones and Eli Lilly go up and down completely randomly.
Pair Corralation between Dow Jones and Eli Lilly
Assuming the 90 days trading horizon Dow Jones is expected to generate 3.38 times less return on investment than Eli Lilly. But when comparing it to its historical volatility, Dow Jones Industrial is 2.96 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 0.09 of returns per unit of risk over similar time horizon. If you would invest 33,813 in Eli Lilly and on September 24, 2024 and sell it today you would earn a total of 42,677 from holding Eli Lilly and or generate 126.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.22% |
Values | Daily Returns |
Dow Jones Industrial vs. Eli Lilly and
Performance |
Timeline |
Dow Jones and Eli Lilly Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Eli Lilly and
Pair trading matchups for Eli Lilly
Pair Trading with Dow Jones and Eli Lilly
The main advantage of trading using opposite Dow Jones and Eli Lilly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones 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.Dow Jones vs. Teleflex Incorporated | Dow Jones vs. Sonida Senior Living | Dow Jones vs. Avadel Pharmaceuticals PLC | Dow Jones vs. Cardinal Health |
Eli Lilly vs. CITIC Telecom International | Eli Lilly vs. Singapore Telecommunications Limited | Eli Lilly vs. Spirent Communications plc | Eli Lilly vs. DiamondRock Hospitality |
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 Transaction History module to view history of all your transactions and understand their impact on performance.
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