Correlation Between Wabash National and Magna International
Can any of the company-specific risk be diversified away by investing in both Wabash National and Magna International 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 Wabash National and Magna International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wabash National and Magna International, you can compare the effects of market volatilities on Wabash National and Magna International 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 Wabash National with a short position of Magna International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wabash National and Magna International.
Diversification Opportunities for Wabash National and Magna International
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Wabash and Magna is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Wabash National and Magna International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Magna International and Wabash National 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 Wabash National are associated (or correlated) with Magna International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Magna International has no effect on the direction of Wabash National i.e., Wabash National and Magna International go up and down completely randomly.
Pair Corralation between Wabash National and Magna International
Considering the 90-day investment horizon Wabash National is expected to under-perform the Magna International. In addition to that, Wabash National is 1.22 times more volatile than Magna International. It trades about -0.39 of its total potential returns per unit of risk. Magna International is currently generating about -0.27 per unit of volatility. If you would invest 4,646 in Magna International on September 24, 2024 and sell it today you would lose (441.00) from holding Magna International or give up 9.49% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Wabash National vs. Magna International
Performance |
Timeline |
Wabash National |
Magna International |
Wabash National and Magna International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wabash National and Magna International
The main advantage of trading using opposite Wabash National and Magna International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wabash National position performs unexpectedly, Magna International 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 Magna International will offset losses from the drop in Magna International's long position.Wabash National vs. AGCO Corporation | Wabash National vs. Nikola Corp | Wabash National vs. Deere Company | Wabash National vs. Lindsay |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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