Correlation Between Rush Street and Astec Industries
Can any of the company-specific risk be diversified away by investing in both Rush Street and Astec Industries 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 Astec Industries 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 Astec Industries, you can compare the effects of market volatilities on Rush Street and Astec Industries 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 Astec Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rush Street and Astec Industries.
Diversification Opportunities for Rush Street and Astec Industries
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Rush and Astec is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Rush Street Interactive and Astec Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Astec Industries 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 Astec Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Astec Industries has no effect on the direction of Rush Street i.e., Rush Street and Astec Industries go up and down completely randomly.
Pair Corralation between Rush Street and Astec Industries
Considering the 90-day investment horizon Rush Street Interactive is expected to generate 1.08 times more return on investment than Astec Industries. However, Rush Street is 1.08 times more volatile than Astec Industries. It trades about 0.37 of its potential returns per unit of risk. Astec Industries is currently generating about 0.29 per unit of risk. If you would invest 1,040 in Rush Street Interactive on August 28, 2024 and sell it today you would earn a total of 340.00 from holding Rush Street Interactive or generate 32.69% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Rush Street Interactive vs. Astec Industries
Performance |
| Timeline |
| Rush Street Interactive |
| Astec Industries |
Rush Street and Astec Industries Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Rush Street and Astec Industries
The main advantage of trading using opposite Rush Street and Astec Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rush Street position performs unexpectedly, Astec Industries 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 Astec Industries will offset losses from the drop in Astec Industries' long position.| Rush Street vs. Genius Sports | Rush Street vs. Gan | Rush Street vs. Ballys Corp | Rush Street vs. Hims Hers Health |
| Astec Industries vs. Hyster Yale Materials Handling | Astec Industries vs. Manitex International | Astec Industries vs. Shyft Group | Astec Industries vs. Rev Group |
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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