Correlation Between Dow Jones and Northern Data
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Northern Data 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 Dow Jones and Northern Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Northern Data AG, you can compare the effects of market volatilities on Dow Jones and Northern Data 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 Dow Jones with a short position of Northern Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Northern Data.
Diversification Opportunities for Dow Jones and Northern Data
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Dow and Northern is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Northern Data AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northern Data AG and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Northern Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Northern Data AG has no effect on the direction of Dow Jones i.e., Dow Jones and Northern Data go up and down completely randomly.
Pair Corralation between Dow Jones and Northern Data
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Northern Data. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 6.56 times less risky than Northern Data. The index trades about -0.24 of its potential returns per unit of risk. The Northern Data AG is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 4,170 in Northern Data AG on October 10, 2024 and sell it today you would earn a total of 780.00 from holding Northern Data AG or generate 18.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 81.82% |
Values | Daily Returns |
Dow Jones Industrial vs. Northern Data AG
Performance |
Timeline |
Dow Jones and Northern Data Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Northern Data AG
Pair trading matchups for Northern Data
Pair Trading with Dow Jones and Northern Data
The main advantage of trading using opposite Dow Jones and Northern Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Northern Data 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 Northern Data will offset losses from the drop in Northern Data's long position.Dow Jones vs. Thai Beverage PCL | Dow Jones vs. ServiceNow | Dow Jones vs. Loud Beverage Group | Dow Jones vs. Suntory Beverage Food |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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