Correlation Between Dow Jones and Soluna Holdings
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Soluna Holdings 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 Soluna Holdings 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 Soluna Holdings Preferred, you can compare the effects of market volatilities on Dow Jones and Soluna Holdings 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 Soluna Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Soluna Holdings.
Diversification Opportunities for Dow Jones and Soluna Holdings
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dow and Soluna is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Soluna Holdings Preferred in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Soluna Holdings Preferred 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 Soluna Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Soluna Holdings Preferred has no effect on the direction of Dow Jones i.e., Dow Jones and Soluna Holdings go up and down completely randomly.
Pair Corralation between Dow Jones and Soluna Holdings
Assuming the 90 days trading horizon Dow Jones is expected to generate 10.83 times less return on investment than Soluna Holdings. But when comparing it to its historical volatility, Dow Jones Industrial is 11.73 times less risky than Soluna Holdings. It trades about 0.12 of its potential returns per unit of risk. Soluna Holdings Preferred is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 166.00 in Soluna Holdings Preferred on August 31, 2024 and sell it today you would earn a total of 1,108 from holding Soluna Holdings Preferred or generate 667.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. Soluna Holdings Preferred
Performance |
Timeline |
Dow Jones and Soluna Holdings Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Soluna Holdings Preferred
Pair trading matchups for Soluna Holdings
Pair Trading with Dow Jones and Soluna Holdings
The main advantage of trading using opposite Dow Jones and Soluna Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Soluna Holdings 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 Soluna Holdings will offset losses from the drop in Soluna Holdings' long position.Dow Jones vs. Aerofoam Metals | Dow Jones vs. ACG Metals Limited | Dow Jones vs. China Clean Energy | Dow Jones vs. Fast Retailing Co |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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