Correlation Between Rush Street and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Rush Street and Loomis Sayles 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 Loomis Sayles 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 Loomis Sayles Growth, you can compare the effects of market volatilities on Rush Street and Loomis Sayles 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 Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rush Street and Loomis Sayles.
Diversification Opportunities for Rush Street and Loomis Sayles
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Rush and Loomis is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Rush Street Interactive and Loomis Sayles Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Growth 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 Loomis Sayles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loomis Sayles Growth has no effect on the direction of Rush Street i.e., Rush Street and Loomis Sayles go up and down completely randomly.
Pair Corralation between Rush Street and Loomis Sayles
Considering the 90-day investment horizon Rush Street Interactive is expected to generate 3.37 times more return on investment than Loomis Sayles. However, Rush Street is 3.37 times more volatile than Loomis Sayles Growth. It trades about 0.13 of its potential returns per unit of risk. Loomis Sayles Growth is currently generating about 0.09 per unit of risk. If you would invest 305.00 in Rush Street Interactive on August 31, 2024 and sell it today you would earn a total of 1,137 from holding Rush Street Interactive or generate 372.79% 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. Loomis Sayles Growth
Performance |
| Timeline |
| Rush Street Interactive |
| Loomis Sayles Growth |
Rush Street and Loomis Sayles Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Rush Street and Loomis Sayles
The main advantage of trading using opposite Rush Street and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rush Street position performs unexpectedly, Loomis Sayles 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 Loomis Sayles will offset losses from the drop in Loomis Sayles' long position.| Rush Street vs. Genius Sports | Rush Street vs. Gan | Rush Street vs. Ballys Corp | Rush Street vs. Hims Hers Health |
| Loomis Sayles vs. Loomis Sayles Growth | Loomis Sayles vs. Loomis Sayles Growth | Loomis Sayles vs. Diamond Hill Large | Loomis Sayles vs. Loomis Sayles Growth |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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