Correlation Between Constellation Brands and Cadeler AS
Can any of the company-specific risk be diversified away by investing in both Constellation Brands and Cadeler AS 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 Constellation Brands and Cadeler AS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Constellation Brands Class and Cadeler AS, you can compare the effects of market volatilities on Constellation Brands and Cadeler AS 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 Constellation Brands with a short position of Cadeler AS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Constellation Brands and Cadeler AS.
Diversification Opportunities for Constellation Brands and Cadeler AS
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Constellation and Cadeler is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Constellation Brands Class and Cadeler AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cadeler AS and Constellation Brands 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 Constellation Brands Class are associated (or correlated) with Cadeler AS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cadeler AS has no effect on the direction of Constellation Brands i.e., Constellation Brands and Cadeler AS go up and down completely randomly.
Pair Corralation between Constellation Brands and Cadeler AS
Considering the 90-day investment horizon Constellation Brands Class is expected to under-perform the Cadeler AS. But the stock apears to be less risky and, when comparing its historical volatility, Constellation Brands Class is 1.5 times less risky than Cadeler AS. The stock trades about -0.47 of its potential returns per unit of risk. The Cadeler AS is currently generating about -0.19 of returns per unit of risk over similar time horizon. If you would invest 2,373 in Cadeler AS on October 12, 2024 and sell it today you would lose (127.00) from holding Cadeler AS or give up 5.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Constellation Brands Class vs. Cadeler AS
Performance |
Timeline |
Constellation Brands |
Cadeler AS |
Constellation Brands and Cadeler AS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Constellation Brands and Cadeler AS
The main advantage of trading using opposite Constellation Brands and Cadeler AS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Constellation Brands position performs unexpectedly, Cadeler AS 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 Cadeler AS will offset losses from the drop in Cadeler AS's long position.Constellation Brands vs. Brown Forman | Constellation Brands vs. MGP Ingredients | Constellation Brands vs. Brown Forman | Constellation Brands vs. Diageo PLC ADR |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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