Correlation Between Carlsberg and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Carlsberg and Dow Jones 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 Carlsberg and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Carlsberg AS and Dow Jones Industrial, you can compare the effects of market volatilities on Carlsberg and Dow Jones 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 Carlsberg with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carlsberg and Dow Jones.
Diversification Opportunities for Carlsberg and Dow Jones
Pay attention - limited upside
The 3 months correlation between Carlsberg and Dow is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding Carlsberg AS and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Carlsberg 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 Carlsberg AS are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Carlsberg i.e., Carlsberg and Dow Jones go up and down completely randomly.
Pair Corralation between Carlsberg and Dow Jones
Assuming the 90 days trading horizon Carlsberg AS is expected to under-perform the Dow Jones. In addition to that, Carlsberg is 2.15 times more volatile than Dow Jones Industrial. It trades about -0.16 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.37 per unit of volatility. If you would invest 4,176,346 in Dow Jones Industrial on September 1, 2024 and sell it today you would earn a total of 314,719 from holding Dow Jones Industrial or generate 7.54% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
Carlsberg AS vs. Dow Jones Industrial
Performance |
| Timeline |
Carlsberg and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Carlsberg AS
Pair trading matchups for Carlsberg
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Carlsberg and Dow Jones
The main advantage of trading using opposite Carlsberg and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carlsberg position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| Carlsberg vs. AP Mller | Carlsberg vs. ROCKWOOL International AS | Carlsberg vs. Royal Unibrew AS | Carlsberg vs. Tryg AS |
| Dow Jones vs. Catalyst Pharmaceuticals | Dow Jones vs. Sphere Entertainment Co | Dow Jones vs. National CineMedia | Dow Jones vs. Mink Therapeutics |
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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