Correlation Between Us Government and Falling Dollar
Can any of the company-specific risk be diversified away by investing in both Us Government and Falling Dollar 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 Us Government and Falling Dollar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Us Government Securities and Falling Dollar Profund, you can compare the effects of market volatilities on Us Government and Falling Dollar 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 Us Government with a short position of Falling Dollar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Us Government and Falling Dollar.
Diversification Opportunities for Us Government and Falling Dollar
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between RGVEX and Falling is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Us Government Securities and Falling Dollar Profund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Falling Dollar Profund and Us Government 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 Us Government Securities are associated (or correlated) with Falling Dollar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Falling Dollar Profund has no effect on the direction of Us Government i.e., Us Government and Falling Dollar go up and down completely randomly.
Pair Corralation between Us Government and Falling Dollar
Assuming the 90 days horizon Us Government Securities is expected to generate 0.65 times more return on investment than Falling Dollar. However, Us Government Securities is 1.53 times less risky than Falling Dollar. It trades about 0.16 of its potential returns per unit of risk. Falling Dollar Profund is currently generating about -0.13 per unit of risk. If you would invest 1,194 in Us Government Securities on May 5, 2025 and sell it today you would earn a total of 13.00 from holding Us Government Securities or generate 1.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Us Government Securities vs. Falling Dollar Profund
Performance |
Timeline |
Us Government Securities |
Falling Dollar Profund |
Us Government and Falling Dollar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Us Government and Falling Dollar
The main advantage of trading using opposite Us Government and Falling Dollar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Us Government position performs unexpectedly, Falling Dollar 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 Falling Dollar will offset losses from the drop in Falling Dollar's long position.Us Government vs. Franklin Natural Resources | Us Government vs. Calvert Global Energy | Us Government vs. Blackrock All Cap Energy | Us Government vs. Adams Natural Resources |
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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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