Correlation Between Allianz SE and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Allianz SE 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 Allianz SE and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Allianz SE VNA and Dow Jones Industrial, you can compare the effects of market volatilities on Allianz SE 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 Allianz SE with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Allianz SE and Dow Jones.
Diversification Opportunities for Allianz SE and Dow Jones
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Allianz and Dow is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Allianz SE VNA 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 Allianz SE 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 Allianz SE VNA 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 Allianz SE i.e., Allianz SE and Dow Jones go up and down completely randomly.
Pair Corralation between Allianz SE and Dow Jones
Assuming the 90 days trading horizon Allianz SE VNA is expected to under-perform the Dow Jones. In addition to that, Allianz SE is 1.02 times more volatile than Dow Jones Industrial. It trades about 0.0 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.03 per unit of volatility. If you would invest 4,220,822 in Dow Jones Industrial on September 24, 2024 and sell it today you would earn a total of 63,204 from holding Dow Jones Industrial or generate 1.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.46% |
Values | Daily Returns |
Allianz SE VNA vs. Dow Jones Industrial
Performance |
Timeline |
Allianz SE and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Allianz SE VNA
Pair trading matchups for Allianz SE
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Allianz SE and Dow Jones
The main advantage of trading using opposite Allianz SE and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Allianz SE 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.Allianz SE vs. Berkshire Hathaway | Allianz SE vs. AXA SA | Allianz SE vs. AXA SA | Allianz SE vs. Assicurazioni Generali SpA |
Dow Jones vs. Teleflex Incorporated | Dow Jones vs. Sonida Senior Living | Dow Jones vs. Avadel Pharmaceuticals PLC | Dow Jones vs. Cardinal Health |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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