Correlation Between Emerald Insights and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Emerald Insights 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 Emerald Insights and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Emerald Insights Fund and Dow Jones Industrial, you can compare the effects of market volatilities on Emerald Insights 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 Emerald Insights with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Emerald Insights and Dow Jones.
Diversification Opportunities for Emerald Insights and Dow Jones
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Emerald and Dow is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Emerald Insights Fund 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 Emerald Insights 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 Emerald Insights Fund 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 Emerald Insights i.e., Emerald Insights and Dow Jones go up and down completely randomly.
Pair Corralation between Emerald Insights and Dow Jones
Assuming the 90 days horizon Emerald Insights Fund is expected to generate 1.6 times more return on investment than Dow Jones. However, Emerald Insights is 1.6 times more volatile than Dow Jones Industrial. It trades about 0.09 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.07 per unit of risk. If you would invest 1,855 in Emerald Insights Fund on October 9, 2024 and sell it today you would earn a total of 342.00 from holding Emerald Insights Fund or generate 18.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.4% |
Values | Daily Returns |
Emerald Insights Fund vs. Dow Jones Industrial
Performance |
Timeline |
Emerald Insights and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Emerald Insights Fund
Pair trading matchups for Emerald Insights
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Emerald Insights and Dow Jones
The main advantage of trading using opposite Emerald Insights and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Emerald Insights 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.Emerald Insights vs. Leader Short Term Bond | Emerald Insights vs. Touchstone Ultra Short | Emerald Insights vs. Angel Oak Ultrashort | Emerald Insights vs. Rbc Short Duration |
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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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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