Correlation Between Air Canada and MGP Ingredients
Can any of the company-specific risk be diversified away by investing in both Air Canada and MGP Ingredients 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 Air Canada and MGP Ingredients into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Air Canada and MGP Ingredients, you can compare the effects of market volatilities on Air Canada and MGP Ingredients 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 Air Canada with a short position of MGP Ingredients. Check out your portfolio center. Please also check ongoing floating volatility patterns of Air Canada and MGP Ingredients.
Diversification Opportunities for Air Canada and MGP Ingredients
-0.86 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Air and MGP is -0.86. Overlapping area represents the amount of risk that can be diversified away by holding Air Canada and MGP Ingredients in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MGP Ingredients and Air Canada 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 Air Canada are associated (or correlated) with MGP Ingredients. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MGP Ingredients has no effect on the direction of Air Canada i.e., Air Canada and MGP Ingredients go up and down completely randomly.
Pair Corralation between Air Canada and MGP Ingredients
Assuming the 90 days trading horizon Air Canada is expected to generate 0.87 times more return on investment than MGP Ingredients. However, Air Canada is 1.15 times less risky than MGP Ingredients. It trades about 0.01 of its potential returns per unit of risk. MGP Ingredients is currently generating about -0.06 per unit of risk. If you would invest 1,500 in Air Canada on October 4, 2024 and sell it today you would lose (35.00) from holding Air Canada or give up 2.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Air Canada vs. MGP Ingredients
Performance |
Timeline |
Air Canada |
MGP Ingredients |
Air Canada and MGP Ingredients Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Air Canada and MGP Ingredients
The main advantage of trading using opposite Air Canada and MGP Ingredients positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Air Canada position performs unexpectedly, MGP Ingredients 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 MGP Ingredients will offset losses from the drop in MGP Ingredients' long position.The idea behind Air Canada and MGP Ingredients 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.MGP Ingredients vs. Axway Software SA | MGP Ingredients vs. Elmos Semiconductor SE | MGP Ingredients vs. EMBARK EDUCATION LTD | MGP Ingredients vs. Grand Canyon Education |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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