Correlation Between Asiana Airlines and Automobile
Can any of the company-specific risk be diversified away by investing in both Asiana Airlines and Automobile 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 Asiana Airlines and Automobile into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asiana Airlines and Automobile Pc, you can compare the effects of market volatilities on Asiana Airlines and Automobile 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 Asiana Airlines with a short position of Automobile. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asiana Airlines and Automobile.
Diversification Opportunities for Asiana Airlines and Automobile
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Asiana and Automobile is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Asiana Airlines and Automobile Pc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Automobile Pc and Asiana Airlines 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 Asiana Airlines are associated (or correlated) with Automobile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Automobile Pc has no effect on the direction of Asiana Airlines i.e., Asiana Airlines and Automobile go up and down completely randomly.
Pair Corralation between Asiana Airlines and Automobile
Assuming the 90 days trading horizon Asiana Airlines is expected to generate 0.8 times more return on investment than Automobile. However, Asiana Airlines is 1.26 times less risky than Automobile. It trades about 0.02 of its potential returns per unit of risk. Automobile Pc is currently generating about -0.2 per unit of risk. If you would invest 1,074,000 in Asiana Airlines on November 29, 2024 and sell it today you would earn a total of 12,000 from holding Asiana Airlines or generate 1.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Asiana Airlines vs. Automobile Pc
Performance |
Timeline |
Asiana Airlines |
Automobile Pc |
Asiana Airlines and Automobile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asiana Airlines and Automobile
The main advantage of trading using opposite Asiana Airlines and Automobile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asiana Airlines position performs unexpectedly, Automobile 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 Automobile will offset losses from the drop in Automobile's long position.The idea behind Asiana Airlines and Automobile Pc 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.
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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