Correlation Between Q2M Managementberatu and Eli Lilly
Can any of the company-specific risk be diversified away by investing in both Q2M Managementberatu 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 Q2M Managementberatu and Eli Lilly into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Q2M Managementberatung AG and Eli Lilly and, you can compare the effects of market volatilities on Q2M Managementberatu 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 Q2M Managementberatu with a short position of Eli Lilly. Check out your portfolio center. Please also check ongoing floating volatility patterns of Q2M Managementberatu and Eli Lilly.
Diversification Opportunities for Q2M Managementberatu and Eli Lilly
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Q2M and Eli is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Q2M Managementberatung AG and Eli Lilly and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eli Lilly and Q2M Managementberatu 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 Q2M Managementberatung AG 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 Q2M Managementberatu i.e., Q2M Managementberatu and Eli Lilly go up and down completely randomly.
Pair Corralation between Q2M Managementberatu and Eli Lilly
Assuming the 90 days trading horizon Q2M Managementberatung AG is expected to under-perform the Eli Lilly. But the stock apears to be less risky and, when comparing its historical volatility, Q2M Managementberatung AG is 3.47 times less risky than Eli Lilly. The stock trades about -0.21 of its potential returns per unit of risk. The Eli Lilly and is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 72,795 in Eli Lilly and on December 19, 2024 and sell it today you would earn a total of 2,665 from holding Eli Lilly and or generate 3.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
Q2M Managementberatung AG vs. Eli Lilly and
Performance |
Timeline |
Q2M Managementberatung |
Eli Lilly |
Q2M Managementberatu and Eli Lilly Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Q2M Managementberatu and Eli Lilly
The main advantage of trading using opposite Q2M Managementberatu and Eli Lilly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Q2M Managementberatu 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.Q2M Managementberatu vs. Cairo Communication SpA | Q2M Managementberatu vs. AEGEAN AIRLINES | Q2M Managementberatu vs. SBA Communications Corp | Q2M Managementberatu vs. Gol Intelligent Airlines |
Eli Lilly vs. Cellnex Telecom SA | Eli Lilly vs. Ubisoft Entertainment SA | Eli Lilly vs. Chengdu PUTIAN Telecommunications | Eli Lilly vs. INTERSHOP Communications Aktiengesellschaft |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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