Correlation Between Rush Street and Curtiss Wright
Can any of the company-specific risk be diversified away by investing in both Rush Street and Curtiss Wright 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 Curtiss Wright 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 Curtiss Wright, you can compare the effects of market volatilities on Rush Street and Curtiss Wright 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 Curtiss Wright. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rush Street and Curtiss Wright.
Diversification Opportunities for Rush Street and Curtiss Wright
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Rush and Curtiss is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Rush Street Interactive and Curtiss Wright in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Curtiss Wright 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 Curtiss Wright. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Curtiss Wright has no effect on the direction of Rush Street i.e., Rush Street and Curtiss Wright go up and down completely randomly.
Pair Corralation between Rush Street and Curtiss Wright
Considering the 90-day investment horizon Rush Street Interactive is expected to generate 2.74 times more return on investment than Curtiss Wright. However, Rush Street is 2.74 times more volatile than Curtiss Wright. It trades about 0.09 of its potential returns per unit of risk. Curtiss Wright is currently generating about 0.12 per unit of risk. If you would invest 358.00 in Rush Street Interactive on August 27, 2024 and sell it today you would earn a total of 974.00 from holding Rush Street Interactive or generate 272.07% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Rush Street Interactive vs. Curtiss Wright
Performance |
| Timeline |
| Rush Street Interactive |
| Curtiss Wright |
Rush Street and Curtiss Wright Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Rush Street and Curtiss Wright
The main advantage of trading using opposite Rush Street and Curtiss Wright positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rush Street position performs unexpectedly, Curtiss Wright 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 Curtiss Wright will offset losses from the drop in Curtiss Wright's long position.| Rush Street vs. Genius Sports | Rush Street vs. Gan | Rush Street vs. Ballys Corp | Rush Street vs. Hims Hers Health |
| Curtiss Wright vs. Mercury Systems | Curtiss Wright vs. AAR Corp | Curtiss Wright vs. Ducommun Incorporated | Curtiss Wright vs. Moog Inc |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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