Correlation Between SEB SA and Innate Pharma
Can any of the company-specific risk be diversified away by investing in both SEB SA and Innate Pharma 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 SEB SA and Innate Pharma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SEB SA and Innate Pharma, you can compare the effects of market volatilities on SEB SA and Innate Pharma 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 SEB SA with a short position of Innate Pharma. Check out your portfolio center. Please also check ongoing floating volatility patterns of SEB SA and Innate Pharma.
Diversification Opportunities for SEB SA and Innate Pharma
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between SEB and Innate is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding SEB SA and Innate Pharma in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Innate Pharma and SEB SA 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 SEB SA are associated (or correlated) with Innate Pharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Innate Pharma has no effect on the direction of SEB SA i.e., SEB SA and Innate Pharma go up and down completely randomly.
Pair Corralation between SEB SA and Innate Pharma
Assuming the 90 days horizon SEB SA is expected to generate 0.81 times more return on investment than Innate Pharma. However, SEB SA is 1.23 times less risky than Innate Pharma. It trades about -0.08 of its potential returns per unit of risk. Innate Pharma is currently generating about -0.18 per unit of risk. If you would invest 11,078 in SEB SA on August 29, 2024 and sell it today you would lose (2,058) from holding SEB SA or give up 18.58% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SEB SA vs. Innate Pharma
Performance |
Timeline |
SEB SA |
Innate Pharma |
SEB SA and Innate Pharma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SEB SA and Innate Pharma
The main advantage of trading using opposite SEB SA and Innate Pharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SEB SA position performs unexpectedly, Innate Pharma 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 Innate Pharma will offset losses from the drop in Innate Pharma's long position.The idea behind SEB SA and Innate Pharma 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.Innate Pharma vs. Genfit | Innate Pharma vs. Nanobiotix SA | Innate Pharma vs. Cellectis | Innate Pharma vs. AB Science SA |
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.
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