Correlation Between GM and Air Asia
Can any of the company-specific risk be diversified away by investing in both GM and Air Asia 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 Air Asia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Air Asia Co, you can compare the effects of market volatilities on GM and Air Asia 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 Air Asia. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Air Asia.
Diversification Opportunities for GM and Air Asia
Very good diversification
The 3 months correlation between GM and Air is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Air Asia Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Air Asia 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 Air Asia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Air Asia has no effect on the direction of GM i.e., GM and Air Asia go up and down completely randomly.
Pair Corralation between GM and Air Asia
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Air Asia. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 1.28 times less risky than Air Asia. The stock trades about -0.02 of its potential returns per unit of risk. The Air Asia Co is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 3,192 in Air Asia Co on December 25, 2024 and sell it today you would earn a total of 713.00 from holding Air Asia Co or generate 22.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 93.22% |
Values | Daily Returns |
General Motors vs. Air Asia Co
Performance |
Timeline |
General Motors |
Air Asia |
GM and Air Asia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Air Asia
The main advantage of trading using opposite GM and Air Asia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Air Asia 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 Air Asia will offset losses from the drop in Air Asia's long position.The idea behind General Motors and Air Asia Co 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.Air Asia vs. PChome Online | Air Asia vs. Prime Oil Chemical | Air Asia vs. Standard Foods Corp | Air Asia vs. Oceanic Beverages 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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