Correlation Between Danish Aerospace and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Danish Aerospace 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 Danish Aerospace and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Danish Aerospace and Dow Jones Industrial, you can compare the effects of market volatilities on Danish Aerospace 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 Danish Aerospace with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Danish Aerospace and Dow Jones.
Diversification Opportunities for Danish Aerospace and Dow Jones
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Danish and Dow is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Danish Aerospace 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 Danish Aerospace 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 Danish Aerospace 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 Danish Aerospace i.e., Danish Aerospace and Dow Jones go up and down completely randomly.
Pair Corralation between Danish Aerospace and Dow Jones
Assuming the 90 days trading horizon Danish Aerospace is expected to generate 6.8 times more return on investment than Dow Jones. However, Danish Aerospace is 6.8 times more volatile than Dow Jones Industrial. It trades about 0.02 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.08 per unit of risk. If you would invest 397.00 in Danish Aerospace on September 14, 2024 and sell it today you would lose (77.00) from holding Danish Aerospace or give up 19.4% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 99.6% |
| Values | Daily Returns |
Danish Aerospace vs. Dow Jones Industrial
Performance |
| Timeline |
Danish Aerospace and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Danish Aerospace
Pair trading matchups for Danish Aerospace
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Danish Aerospace and Dow Jones
The main advantage of trading using opposite Danish Aerospace and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Danish Aerospace 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.| Danish Aerospace vs. BioPorto | Danish Aerospace vs. cBrain AS | Danish Aerospace vs. Orphazyme AS | Danish Aerospace vs. North Media AS |
| Dow Jones vs. Hurco Companies | Dow Jones vs. Tyson Foods | Dow Jones vs. MYR Group | Dow Jones vs. Cannae Holdings |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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