Correlation Between Rush Street and Northern Bond
Can any of the company-specific risk be diversified away by investing in both Rush Street and Northern Bond 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 Rush Street and Northern Bond into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Rush Street Interactive and Northern Bond Index, you can compare the effects of market volatilities on Rush Street and Northern Bond 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 Rush Street with a short position of Northern Bond. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rush Street and Northern Bond.
Diversification Opportunities for Rush Street and Northern Bond
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Rush and Northern is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Rush Street Interactive and Northern Bond Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northern Bond Index and Rush Street 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 Rush Street Interactive are associated (or correlated) with Northern Bond. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Northern Bond Index has no effect on the direction of Rush Street i.e., Rush Street and Northern Bond go up and down completely randomly.
Pair Corralation between Rush Street and Northern Bond
Considering the 90-day investment horizon Rush Street Interactive is expected to generate 10.34 times more return on investment than Northern Bond. However, Rush Street is 10.34 times more volatile than Northern Bond Index. It trades about 0.18 of its potential returns per unit of risk. Northern Bond Index is currently generating about -0.26 per unit of risk. If you would invest 1,060 in Rush Street Interactive on August 25, 2024 and sell it today you would earn a total of 272.00 from holding Rush Street Interactive or generate 25.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Rush Street Interactive vs. Northern Bond Index
Performance |
Timeline |
Rush Street Interactive |
Northern Bond Index |
Rush Street and Northern Bond Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Rush Street and Northern Bond
The main advantage of trading using opposite Rush Street and Northern Bond positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rush Street position performs unexpectedly, Northern Bond 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 Northern Bond will offset losses from the drop in Northern Bond's long position.Rush Street vs. Genius Sports | Rush Street vs. Gan | Rush Street vs. Ballys Corp | Rush Street vs. Hims Hers Health |
Northern Bond vs. Ab All Market | Northern Bond vs. Doubleline Emerging Markets | Northern Bond vs. Western Asset Diversified | Northern Bond vs. Sp Midcap Index |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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