Correlation Between Constellation Brands and Finnair Oyj
Can any of the company-specific risk be diversified away by investing in both Constellation Brands and Finnair Oyj 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 Finnair Oyj 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 Finnair Oyj, you can compare the effects of market volatilities on Constellation Brands and Finnair Oyj 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 Finnair Oyj. Check out your portfolio center. Please also check ongoing floating volatility patterns of Constellation Brands and Finnair Oyj.
Diversification Opportunities for Constellation Brands and Finnair Oyj
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Constellation and Finnair is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Constellation Brands Class and Finnair Oyj in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Finnair Oyj 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 Finnair Oyj. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Finnair Oyj has no effect on the direction of Constellation Brands i.e., Constellation Brands and Finnair Oyj go up and down completely randomly.
Pair Corralation between Constellation Brands and Finnair Oyj
Considering the 90-day investment horizon Constellation Brands Class is expected to generate 0.68 times more return on investment than Finnair Oyj. However, Constellation Brands Class is 1.48 times less risky than Finnair Oyj. It trades about -0.05 of its potential returns per unit of risk. Finnair Oyj is currently generating about -0.07 per unit of risk. If you would invest 25,065 in Constellation Brands Class on September 12, 2024 and sell it today you would lose (1,078) from holding Constellation Brands Class or give up 4.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Constellation Brands Class vs. Finnair Oyj
Performance |
Timeline |
Constellation Brands |
Finnair Oyj |
Constellation Brands and Finnair Oyj Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Constellation Brands and Finnair Oyj
The main advantage of trading using opposite Constellation Brands and Finnair Oyj positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Constellation Brands position performs unexpectedly, Finnair Oyj 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 Finnair Oyj will offset losses from the drop in Finnair Oyj's long position.Constellation Brands vs. Brown Forman | Constellation Brands vs. Duckhorn Portfolio | Constellation Brands vs. MGP Ingredients | Constellation Brands vs. Brown Forman |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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