Correlation Between GM and Chorus Aviation
Can any of the company-specific risk be diversified away by investing in both GM and Chorus Aviation 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 Chorus Aviation into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Chorus Aviation, you can compare the effects of market volatilities on GM and Chorus Aviation 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 Chorus Aviation. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Chorus Aviation.
Diversification Opportunities for GM and Chorus Aviation
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between GM and Chorus is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Chorus Aviation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chorus Aviation 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 Chorus Aviation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chorus Aviation has no effect on the direction of GM i.e., GM and Chorus Aviation go up and down completely randomly.
Pair Corralation between GM and Chorus Aviation
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Chorus Aviation. In addition to that, GM is 1.48 times more volatile than Chorus Aviation. It trades about -0.31 of its total potential returns per unit of risk. Chorus Aviation is currently generating about -0.38 per unit of volatility. If you would invest 334.00 in Chorus Aviation on September 24, 2024 and sell it today you would lose (40.00) from holding Chorus Aviation or give up 11.98% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.24% |
Values | Daily Returns |
General Motors vs. Chorus Aviation
Performance |
Timeline |
General Motors |
Chorus Aviation |
GM and Chorus Aviation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Chorus Aviation
The main advantage of trading using opposite GM and Chorus Aviation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Chorus Aviation 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 Chorus Aviation will offset losses from the drop in Chorus Aviation's long position.The idea behind General Motors and Chorus Aviation 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.Chorus Aviation vs. Cargojet | Chorus Aviation vs. Exchange Income | Chorus Aviation vs. Cineplex | Chorus Aviation vs. Transat AT |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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