Correlation Between Rush Street and Investor
Can any of the company-specific risk be diversified away by investing in both Rush Street and Investor 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 Investor 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 Investor AB ser, you can compare the effects of market volatilities on Rush Street and Investor 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 Investor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rush Street and Investor.
Diversification Opportunities for Rush Street and Investor
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Rush and Investor is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Rush Street Interactive and Investor AB ser in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Investor AB ser 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 Investor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Investor AB ser has no effect on the direction of Rush Street i.e., Rush Street and Investor go up and down completely randomly.
Pair Corralation between Rush Street and Investor
Considering the 90-day investment horizon Rush Street Interactive is expected to generate 1.57 times more return on investment than Investor. However, Rush Street is 1.57 times more volatile than Investor AB ser. It trades about 0.24 of its potential returns per unit of risk. Investor AB ser is currently generating about -0.06 per unit of risk. If you would invest 937.00 in Rush Street Interactive on August 30, 2024 and sell it today you would earn a total of 484.00 from holding Rush Street Interactive or generate 51.65% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Rush Street Interactive vs. Investor AB ser
Performance |
| Timeline |
| Rush Street Interactive |
| Investor AB ser |
Rush Street and Investor Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Rush Street and Investor
The main advantage of trading using opposite Rush Street and Investor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rush Street position performs unexpectedly, Investor 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 Investor will offset losses from the drop in Investor's long position.| Rush Street vs. Genius Sports | Rush Street vs. Gan | Rush Street vs. Ballys Corp | Rush Street vs. Hims Hers Health |
| Investor vs. Guggenheim Strategic Opportunities | Investor vs. Pimco Dynamic Income | Investor vs. Rivernorth Opportunities | Investor vs. Cornerstone Strategic Value |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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