Correlation Between Dow Jones and Ultrashort Dow
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Ultrashort Dow 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 Ultrashort Dow 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 Ultrashort Dow 30, you can compare the effects of market volatilities on Dow Jones and Ultrashort Dow 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 Ultrashort Dow. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Ultrashort Dow.
Diversification Opportunities for Dow Jones and Ultrashort Dow
-0.89 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Dow and Ultrashort is -0.89. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Ultrashort Dow 30 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ultrashort Dow 30 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 Ultrashort Dow. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ultrashort Dow 30 has no effect on the direction of Dow Jones i.e., Dow Jones and Ultrashort Dow go up and down completely randomly.
Pair Corralation between Dow Jones and Ultrashort Dow
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Ultrashort Dow. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 2.0 times less risky than Ultrashort Dow. The index trades about -0.25 of its potential returns per unit of risk. The Ultrashort Dow 30 is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 962.00 in Ultrashort Dow 30 on December 5, 2024 and sell it today you would earn a total of 87.00 from holding Ultrashort Dow 30 or generate 9.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. Ultrashort Dow 30
Performance |
Timeline |
Dow Jones and Ultrashort Dow Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Ultrashort Dow 30
Pair trading matchups for Ultrashort Dow
Pair Trading with Dow Jones and Ultrashort Dow
The main advantage of trading using opposite Dow Jones and Ultrashort Dow positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Ultrashort Dow 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 Ultrashort Dow will offset losses from the drop in Ultrashort Dow's long position.Dow Jones vs. Ecovyst | Dow Jones vs. ioneer Ltd American | Dow Jones vs. Eastman Chemical | Dow Jones vs. Zijin Mining Group |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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