Correlation Between Magna International and Wabash National
Can any of the company-specific risk be diversified away by investing in both Magna International 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 Magna International and Wabash National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Magna International and Wabash National, you can compare the effects of market volatilities on Magna International 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 Magna International with a short position of Wabash National. Check out your portfolio center. Please also check ongoing floating volatility patterns of Magna International and Wabash National.
Diversification Opportunities for Magna International and Wabash National
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Magna and Wabash is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Magna International and Wabash National in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wabash National and Magna International 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 Magna International 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 Magna International i.e., Magna International and Wabash National go up and down completely randomly.
Pair Corralation between Magna International and Wabash National
Considering the 90-day investment horizon Magna International is expected to generate 0.95 times more return on investment than Wabash National. However, Magna International is 1.06 times less risky than Wabash National. It trades about 0.09 of its potential returns per unit of risk. Wabash National is currently generating about -0.02 per unit of risk. If you would invest 3,971 in Magna International on September 16, 2024 and sell it today you would earn a total of 459.00 from holding Magna International or generate 11.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Magna International vs. Wabash National
Performance |
Timeline |
Magna International |
Wabash National |
Magna International and Wabash National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Magna International and Wabash National
The main advantage of trading using opposite Magna International and Wabash National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Magna International 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.Magna International vs. Ford Motor | Magna International vs. General Motors | Magna International vs. Goodyear Tire Rubber | Magna International vs. Li Auto |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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