Correlation Between Dow Jones and Multi Manager
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Multi Manager 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 Multi Manager 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 Multi Manager Growth Strategies, you can compare the effects of market volatilities on Dow Jones and Multi Manager 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 Multi Manager. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Multi Manager.
Diversification Opportunities for Dow Jones and Multi Manager
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dow and Multi is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Multi Manager Growth Strategie in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Multi Manager Growth 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 Multi Manager. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Multi Manager Growth has no effect on the direction of Dow Jones i.e., Dow Jones and Multi Manager go up and down completely randomly.
Pair Corralation between Dow Jones and Multi Manager
Assuming the 90 days trading horizon Dow Jones is expected to generate 1.83 times less return on investment than Multi Manager. But when comparing it to its historical volatility, Dow Jones Industrial is 1.63 times less risky than Multi Manager. It trades about 0.07 of its potential returns per unit of risk. Multi Manager Growth Strategies is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 1,359 in Multi Manager Growth Strategies on October 12, 2024 and sell it today you would earn a total of 715.00 from holding Multi Manager Growth Strategies or generate 52.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 99.8% |
Values | Daily Returns |
Dow Jones Industrial vs. Multi Manager Growth Strategie
Performance |
Timeline |
Dow Jones and Multi Manager Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Multi Manager Growth Strategies
Pair trading matchups for Multi Manager
Pair Trading with Dow Jones and Multi Manager
The main advantage of trading using opposite Dow Jones and Multi Manager positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Multi Manager 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 Multi Manager will offset losses from the drop in Multi Manager's long position.Dow Jones vs. Lululemon Athletica | Dow Jones vs. Vistra Energy Corp | Dow Jones vs. The Gap, | Dow Jones vs. Pool Corporation |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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