Correlation Between Dow Jones and Jpmorgan Hedged
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Jpmorgan Hedged 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 Jpmorgan Hedged 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 Jpmorgan Hedged Equity, you can compare the effects of market volatilities on Dow Jones and Jpmorgan Hedged 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 Jpmorgan Hedged. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Jpmorgan Hedged.
Diversification Opportunities for Dow Jones and Jpmorgan Hedged
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dow and Jpmorgan is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Jpmorgan Hedged Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jpmorgan Hedged Equity 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 Jpmorgan Hedged. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jpmorgan Hedged Equity has no effect on the direction of Dow Jones i.e., Dow Jones and Jpmorgan Hedged go up and down completely randomly.
Pair Corralation between Dow Jones and Jpmorgan Hedged
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 1.69 times more return on investment than Jpmorgan Hedged. However, Dow Jones is 1.69 times more volatile than Jpmorgan Hedged Equity. It trades about 0.09 of its potential returns per unit of risk. Jpmorgan Hedged Equity is currently generating about 0.13 per unit of risk. If you would invest 3,838,609 in Dow Jones Industrial on September 24, 2024 and sell it today you would earn a total of 445,417 from holding Dow Jones Industrial or generate 11.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. Jpmorgan Hedged Equity
Performance |
Timeline |
Dow Jones and Jpmorgan Hedged Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Jpmorgan Hedged Equity
Pair trading matchups for Jpmorgan Hedged
Pair Trading with Dow Jones and Jpmorgan Hedged
The main advantage of trading using opposite Dow Jones and Jpmorgan Hedged positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Jpmorgan Hedged 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 Jpmorgan Hedged will offset losses from the drop in Jpmorgan Hedged's long position.Dow Jones vs. Teleflex Incorporated | Dow Jones vs. Sonida Senior Living | Dow Jones vs. Avadel Pharmaceuticals PLC | Dow Jones vs. Cardinal Health |
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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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