Correlation Between Rivian Automotive and Wabash National
Can any of the company-specific risk be diversified away by investing in both Rivian Automotive and Wabash National 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 Rivian Automotive and Wabash National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Rivian Automotive and Wabash National, you can compare the effects of market volatilities on Rivian Automotive and Wabash National 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 Rivian Automotive with a short position of Wabash National. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rivian Automotive and Wabash National.
Diversification Opportunities for Rivian Automotive and Wabash National
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Rivian and Wabash is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Rivian Automotive and Wabash National in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wabash National and Rivian Automotive 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 Rivian Automotive are associated (or correlated) with Wabash National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wabash National has no effect on the direction of Rivian Automotive i.e., Rivian Automotive and Wabash National go up and down completely randomly.
Pair Corralation between Rivian Automotive and Wabash National
Given the investment horizon of 90 days Rivian Automotive is expected to generate 36.5 times less return on investment than Wabash National. In addition to that, Rivian Automotive is 2.02 times more volatile than Wabash National. It trades about 0.0 of its total potential returns per unit of risk. Wabash National is currently generating about 0.04 per unit of volatility. If you would invest 1,852 in Wabash National on September 7, 2024 and sell it today you would earn a total of 77.00 from holding Wabash National or generate 4.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Rivian Automotive vs. Wabash National
Performance |
Timeline |
Rivian Automotive |
Wabash National |
Rivian Automotive and Wabash National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Rivian Automotive and Wabash National
The main advantage of trading using opposite Rivian Automotive and Wabash National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rivian Automotive position performs unexpectedly, Wabash National 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 Wabash National will offset losses from the drop in Wabash National's long position.Rivian Automotive vs. Volkswagen AG Pref | Rivian Automotive vs. Volkswagen AG 110 | Rivian Automotive vs. Porsche Automobil Holding | Rivian Automotive vs. Bayerische Motoren Werke |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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