Correlation Between Nable Communications and Asiana Airlines
Can any of the company-specific risk be diversified away by investing in both Nable Communications and Asiana Airlines 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 Nable Communications and Asiana Airlines into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nable Communications and Asiana Airlines, you can compare the effects of market volatilities on Nable Communications and Asiana Airlines 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 Nable Communications with a short position of Asiana Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nable Communications and Asiana Airlines.
Diversification Opportunities for Nable Communications and Asiana Airlines
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Nable and Asiana is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Nable Communications and Asiana Airlines in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asiana Airlines and Nable Communications 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 Nable Communications are associated (or correlated) with Asiana Airlines. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asiana Airlines has no effect on the direction of Nable Communications i.e., Nable Communications and Asiana Airlines go up and down completely randomly.
Pair Corralation between Nable Communications and Asiana Airlines
Assuming the 90 days trading horizon Nable Communications is expected to generate 0.6 times more return on investment than Asiana Airlines. However, Nable Communications is 1.66 times less risky than Asiana Airlines. It trades about 0.09 of its potential returns per unit of risk. Asiana Airlines is currently generating about -0.08 per unit of risk. If you would invest 656,000 in Nable Communications on September 21, 2024 and sell it today you would earn a total of 19,000 from holding Nable Communications or generate 2.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Nable Communications vs. Asiana Airlines
Performance |
Timeline |
Nable Communications |
Asiana Airlines |
Nable Communications and Asiana Airlines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nable Communications and Asiana Airlines
The main advantage of trading using opposite Nable Communications and Asiana Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nable Communications position performs unexpectedly, Asiana Airlines 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 Asiana Airlines will offset losses from the drop in Asiana Airlines' long position.Nable Communications vs. Cube Entertainment | Nable Communications vs. Dreamus Company | Nable Communications vs. LG Energy Solution | Nable Communications vs. Dongwon System |
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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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