Correlation Between Dow Jones and Inverse Government
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Inverse Government 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 Inverse Government 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 Inverse Government Long, you can compare the effects of market volatilities on Dow Jones and Inverse Government 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 Inverse Government. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Inverse Government.
Diversification Opportunities for Dow Jones and Inverse Government
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dow and Inverse is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Inverse Government Long in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inverse Government Long 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 Inverse Government. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inverse Government Long has no effect on the direction of Dow Jones i.e., Dow Jones and Inverse Government go up and down completely randomly.
Pair Corralation between Dow Jones and Inverse Government
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.7 times more return on investment than Inverse Government. However, Dow Jones Industrial is 1.42 times less risky than Inverse Government. It trades about 0.09 of its potential returns per unit of risk. Inverse Government Long is currently generating about 0.04 per unit of risk. If you would invest 3,284,974 in Dow Jones Industrial on September 10, 2024 and sell it today you would earn a total of 1,179,278 from holding Dow Jones Industrial or generate 35.9% 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. Inverse Government Long
Performance |
Timeline |
Dow Jones and Inverse Government Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Inverse Government Long
Pair trading matchups for Inverse Government
Pair Trading with Dow Jones and Inverse Government
The main advantage of trading using opposite Dow Jones and Inverse Government positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Inverse Government 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 Inverse Government will offset losses from the drop in Inverse Government's long position.Dow Jones vs. SEI Investments | Dow Jones vs. Morgan Stanley | Dow Jones vs. CDW Corp | Dow Jones vs. Independence Realty Trust |
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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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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