Correlation Between Vicat SA and Lisi SA
Can any of the company-specific risk be diversified away by investing in both Vicat SA and Lisi SA 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 Vicat SA and Lisi SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vicat SA and Lisi SA, you can compare the effects of market volatilities on Vicat SA and Lisi SA 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 Vicat SA with a short position of Lisi SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vicat SA and Lisi SA.
Diversification Opportunities for Vicat SA and Lisi SA
Very good diversification
The 3 months correlation between Vicat and Lisi is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Vicat SA and Lisi SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lisi SA and Vicat 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 Vicat SA are associated (or correlated) with Lisi SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lisi SA has no effect on the direction of Vicat SA i.e., Vicat SA and Lisi SA go up and down completely randomly.
Pair Corralation between Vicat SA and Lisi SA
Assuming the 90 days trading horizon Vicat SA is expected to generate 2.34 times less return on investment than Lisi SA. But when comparing it to its historical volatility, Vicat SA is 1.45 times less risky than Lisi SA. It trades about 0.07 of its potential returns per unit of risk. Lisi SA is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 2,105 in Lisi SA on September 27, 2024 and sell it today you would earn a total of 55.00 from holding Lisi SA or generate 2.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Vicat SA vs. Lisi SA
Performance |
Timeline |
Vicat SA |
Lisi SA |
Vicat SA and Lisi SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vicat SA and Lisi SA
The main advantage of trading using opposite Vicat SA and Lisi SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vicat SA position performs unexpectedly, Lisi SA 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 Lisi SA will offset losses from the drop in Lisi SA's long position.The idea behind Vicat SA and Lisi SA 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.Lisi SA vs. Safran SA | Lisi SA vs. Dassault Systemes SE | Lisi SA vs. Dassault Aviation SA | Lisi SA vs. Vinci 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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