Correlation Between GM and Wabash National
Can any of the company-specific risk be diversified away by investing in both GM 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 GM and Wabash National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Wabash National, you can compare the effects of market volatilities on GM 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 GM with a short position of Wabash National. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Wabash National.
Diversification Opportunities for GM and Wabash National
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between GM and Wabash is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Wabash National in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wabash National and GM 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 General Motors 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 GM i.e., GM and Wabash National go up and down completely randomly.
Pair Corralation between GM and Wabash National
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.59 times more return on investment than Wabash National. However, General Motors is 1.68 times less risky than Wabash National. It trades about -0.07 of its potential returns per unit of risk. Wabash National is currently generating about -0.22 per unit of risk. If you would invest 5,547 in General Motors on September 29, 2024 and sell it today you would lose (119.00) from holding General Motors or give up 2.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.0% |
Values | Daily Returns |
General Motors vs. Wabash National
Performance |
Timeline |
General Motors |
Wabash National |
GM and Wabash National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Wabash National
The main advantage of trading using opposite GM and Wabash National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM 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.The idea behind General Motors and Wabash National pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Wabash National vs. PACCAR Inc | Wabash National vs. Sinotruk Limited | Wabash National vs. Hyster Yale Materials Handling | Wabash National vs. Qingling Motors Co |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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