Correlation Between AutoZone and Eli Lilly
Can any of the company-specific risk be diversified away by investing in both AutoZone 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 AutoZone and Eli Lilly into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AutoZone and Eli Lilly and, you can compare the effects of market volatilities on AutoZone 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 AutoZone with a short position of Eli Lilly. Check out your portfolio center. Please also check ongoing floating volatility patterns of AutoZone and Eli Lilly.
Diversification Opportunities for AutoZone and Eli Lilly
Very good diversification
The 3 months correlation between AutoZone and Eli is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding AutoZone and Eli Lilly and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eli Lilly and AutoZone 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 AutoZone 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 AutoZone i.e., AutoZone and Eli Lilly go up and down completely randomly.
Pair Corralation between AutoZone and Eli Lilly
Assuming the 90 days horizon AutoZone is expected to generate 1.59 times less return on investment than Eli Lilly. But when comparing it to its historical volatility, AutoZone is 2.81 times less risky than Eli Lilly. It trades about 0.28 of its potential returns per unit of risk. Eli Lilly and is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 71,010 in Eli Lilly and on September 24, 2024 and sell it today you would earn a total of 5,480 from holding Eli Lilly and or generate 7.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
AutoZone vs. Eli Lilly and
Performance |
Timeline |
AutoZone |
Eli Lilly |
AutoZone and Eli Lilly Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AutoZone and Eli Lilly
The main advantage of trading using opposite AutoZone and Eli Lilly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AutoZone 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.AutoZone vs. ScanSource | AutoZone vs. PLANT VEDA FOODS | AutoZone vs. Ebro Foods SA | AutoZone vs. Boiron SA |
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Other Complementary Tools
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |