Correlation Between Domini Impact and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Domini Impact 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 Domini Impact and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Domini Impact Bond and Dow Jones Industrial, you can compare the effects of market volatilities on Domini Impact 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 Domini Impact with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Domini Impact and Dow Jones.
Diversification Opportunities for Domini Impact and Dow Jones
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Domini and Dow is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Domini Impact Bond 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 Domini Impact 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 Domini Impact Bond 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 Domini Impact i.e., Domini Impact and Dow Jones go up and down completely randomly.
Pair Corralation between Domini Impact and Dow Jones
Assuming the 90 days horizon Domini Impact Bond is expected to under-perform the Dow Jones. But the mutual fund apears to be less risky and, when comparing its historical volatility, Domini Impact Bond is 3.15 times less risky than Dow Jones. The mutual fund trades about -0.1 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 4,237,436 in Dow Jones Industrial on August 25, 2024 and sell it today you would earn a total of 192,215 from holding Dow Jones Industrial or generate 4.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Domini Impact Bond vs. Dow Jones Industrial
Performance |
Timeline |
Domini Impact and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Domini Impact Bond
Pair trading matchups for Domini Impact
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Domini Impact and Dow Jones
The main advantage of trading using opposite Domini Impact and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Domini Impact 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.Domini Impact vs. Domini Impact Equity | Domini Impact vs. Pax High Yield | Domini Impact vs. Domini Impact International | Domini Impact vs. Parnassus Fixed Income |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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