Correlation Between Bilendi and CAC Next
Can any of the company-specific risk be diversified away by investing in both Bilendi and CAC Next 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 Bilendi and CAC Next into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bilendi and CAC Next 20, you can compare the effects of market volatilities on Bilendi and CAC Next 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 Bilendi with a short position of CAC Next. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bilendi and CAC Next.
Diversification Opportunities for Bilendi and CAC Next
Very weak diversification
The 3 months correlation between Bilendi and CAC is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Bilendi and CAC Next 20 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CAC Next 20 and Bilendi 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 Bilendi are associated (or correlated) with CAC Next. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CAC Next 20 has no effect on the direction of Bilendi i.e., Bilendi and CAC Next go up and down completely randomly.
Pair Corralation between Bilendi and CAC Next
Assuming the 90 days trading horizon Bilendi is expected to generate 5.13 times more return on investment than CAC Next. However, Bilendi is 5.13 times more volatile than CAC Next 20. It trades about 0.33 of its potential returns per unit of risk. CAC Next 20 is currently generating about -0.07 per unit of risk. If you would invest 1,320 in Bilendi on September 26, 2024 and sell it today you would earn a total of 385.00 from holding Bilendi or generate 29.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bilendi vs. CAC Next 20
Performance |
Timeline |
Bilendi and CAC Next Volatility Contrast
Predicted Return Density |
Returns |
Bilendi
Pair trading matchups for Bilendi
CAC Next 20
Pair trading matchups for CAC Next
Pair Trading with Bilendi and CAC Next
The main advantage of trading using opposite Bilendi and CAC Next positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bilendi position performs unexpectedly, CAC Next 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 CAC Next will offset losses from the drop in CAC Next's long position.The idea behind Bilendi and CAC Next 20 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.CAC Next vs. Broadpeak SA | CAC Next vs. Credit Agricole SA | CAC Next vs. Bilendi | CAC Next vs. Jacquet Metal Service |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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