Correlation Between Korean Air and Air Busan
Can any of the company-specific risk be diversified away by investing in both Korean Air and Air Busan 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 Korean Air and Air Busan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Korean Air Lines and Air Busan Co, you can compare the effects of market volatilities on Korean Air and Air Busan 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 Korean Air with a short position of Air Busan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Korean Air and Air Busan.
Diversification Opportunities for Korean Air and Air Busan
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Korean and Air is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Korean Air Lines and Air Busan Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Air Busan and Korean Air 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 Korean Air Lines are associated (or correlated) with Air Busan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Air Busan has no effect on the direction of Korean Air i.e., Korean Air and Air Busan go up and down completely randomly.
Pair Corralation between Korean Air and Air Busan
Assuming the 90 days trading horizon Korean Air Lines is expected to generate 0.38 times more return on investment than Air Busan. However, Korean Air Lines is 2.64 times less risky than Air Busan. It trades about 0.19 of its potential returns per unit of risk. Air Busan Co is currently generating about 0.02 per unit of risk. If you would invest 2,285,000 in Korean Air Lines on August 31, 2024 and sell it today you would earn a total of 145,000 from holding Korean Air Lines or generate 6.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Korean Air Lines vs. Air Busan Co
Performance |
Timeline |
Korean Air Lines |
Air Busan |
Korean Air and Air Busan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Korean Air and Air Busan
The main advantage of trading using opposite Korean Air and Air Busan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Korean Air position performs unexpectedly, Air Busan 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 Busan will offset losses from the drop in Air Busan's long position.The idea behind Korean Air Lines and Air Busan 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.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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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